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Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Warner Bros. Discovery (WBD) Sports Europe represents WBD’s portfolio of sports brands, channels, and platforms in Europe. It collectively engages 130 million people every month, reaching fans and broad audiences in more than 200 markets and in 20 languages across all platforms where consumers are spending time: free-to-air TV, pay-TV, streaming, online and social. WBD Sports Europe includes the much-loved consumer brands Eurosport and TNT Sports in the UK and Ireland, as well sports programming and content on WBD’s free-to-air TV networks and streaming on HBO Max. They connect audiences with the greatest sporting events in the world. This includes being the Home of the Olympics Games in Europe; tennis’ Grand Slams; cycling’s Grand Tours, more than 1,000 live cycling broadcasts per year, the WHOOP UCI Mountain Bike World Series; the PGA TOUR year-round in some markets; the FIM Endurance World Championship; The Ocean Race; the FIM Speedway GP and every major winter sports World Championship and World Cup event. Your new role... As Warner Bros. Discovery Inc’s portfolio continues to grow – around the world and across platforms – the Global Technology & Operations team is building media technology and IT systems that meet the world class standard for which Discovery is known. GT&O builds, implements and maintains the business systems and technology that are critical for delivering Warner Bros. Discovery’s products, while articulating the long-term technology strategy that will enable Warner Bros. Discovery’s growing pay-tv, digital terrestrial, free-to-air and online services to reach more audiences on more platforms. From Amsterdam to Singapore and from satellite and broadcast operations to SAP, we are driving Discovery forward on the leading edge of technology. You will mainly be involved on WBD Sports. The channels moved in a technology transformation for all his equipment home of all countries in Europe based on a hybrid architecture on premise and cloud. London and Paris team manage the engineering and support of this new group surrounded by two playout center and all the markets in Europe from Eurosport. If you’re not afraid by the new technologies and you want to be part of a dynamic and international team, join us in the heart of the channel sport broadcast in 22 languages. Your role accountabilities... As part of the M2P Engineering team, this role provides Tier 2 support and engineering expertise for MAM and post-production platforms within a virtualized hybrid on-premises and cloud environment. Support: Tier 2 support Manage tickets escalated from Level 0 and Level 1 support teams Coordinate incident and problem follow-up with internal and external teams Follow up update on platform day to day with the support Tier 1 Plan maintenance activities Upgrade phases and reboot action coordination Monitor and maintain the overall health and performance of the platform Engineering: Manage short-term engineering project Collaborate with tier3 engineering team Gather workflow requirements from WBD Sports, TNT Sports and Eurosport offices Produce workflow, project and engineering documentation Design centralized workflows across MAM and Post-Production platforms Support users through change management and new projects implementation Qualifications & Experiences.. Degree in Technology, Engineering, Broadcast, or a related field Fluent written and spoken English French language skills are desirable Strong communication skills Adaptability to work in a fast-paced and continuously changing environment Ability to perform effectively under pressure, particularly when supporting production teams during live events Self-motivated and collaborative team player with a strong commitment to delivering high-quality customer service Excellent troubleshooting, analytical and problem-solving skills Minimum of 3 years of experience in Broadcast Technology in a support or engineering role Experience in Sports, News, Production and Documentary environments Experience with MAM and Post-Production tools Extensive Broadcast technical background (IP video 2110, AES 67, NMOS, video and audio formats and codec…) Good understanding of IT technologies and the associated challenge (network, virtualization, storage, cloud services, security…) Monitor emerging technologies and industry trends to ensure systems remain efficient, scalable, and aligned with business growth Nice to have Basic scripting and development skills Knowledge of AWS services Knowledge of microservices architecture General Work on shift (evening and weekend) Night work may be required depending on live events On-call rotation Based in London, UK Minimal travel expected Permanent contract #TECH Hybrid Working - This role is advertised as a Hybrid work model, that combines remote and in-office work, following our current company policy and to be agreed with your Line Manager. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do: You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Nice to have Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is an exciting opportunity to join the Content Platforms team within Content Technology and Innovation at Sky. As a Software Engineer, you will work in a collaborative, high-performing delivery team responsible for building and supporting mission‑critical platforms that ensure Sky’s content reaches millions of customers across products such as Sky Q, Sky Glass, Sky Go and NOW. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do Build, enhance and maintain cloud-based services and applications that form part of Sky’s Group Content Platform. Participate in all stages of the software development lifecycle, from analysis and design through to implementation, testing and post‑launch support. Work on distributed systems using technologies such as Java, Spring, Kafka, .NET (C#) and AWS, ensuring reliability, scalability and performance. Contribute to the technical direction of the team, promoting strong engineering standards, clean design and continuous improvement. Collaborate closely with analysts, testers and other engineers within an agile (Scrum) delivery team, taking part in ceremonies, code reviews and pair programming. Support, maintain and improve both cloud-based and on-premise applications (including legacy tech stacks), diagnosing issues, ensuring operational stability and adapting to evolving team priorities. What you'll bring Solid previous experience building backend services using Java (Spring) and .NET (C#) in a production environment. Good working knowledge of SQL databases (e.g. Oracle, SQL Server) and NoSQL databases such as Couchbase. Experience with event-driven or asynchronous architectures, including messaging or streaming platforms such as Kafka. Hands-on experience delivering solutions in a cloud environment, ideally AWS, and working with containerisation technologies (Docker, Kubernetes). Applied knowledge of software engineering best practices, including object‑oriented design, APIs (REST), automated testing, CI/CD and Agile methodologies. Demonstrable adaptability and flexibility, with experience working across both modern cloud-based systems and legacy/on-premise environments, and the ability to respond to shifting team and platform priorities. Team overview Content Technology and Innovation The team sits within Sky’s wider Content Technology and Innovation organisation, which is responsible for the systems and platforms that power content ingestion, rights management, processing and distribution across Sky’s European markets. This role offers the chance to work on scalable, distributed systems using modern cloud and streaming technologies while contributing to the evolution of Sky’s core content platforms. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. The OB Engineer provides technical engineering support for Sky Sports live productions across Graphics, Connectivity, Flyaway Systems, Contribution, and Event Delivery. This role is responsible for preparing, configuring, testing and supporting a wide range of broadcast and IP-based systems used at OBs for domestic/international events. The engineer ensures the reliability and performance of graphics systems, networked contribution workflows, flyaway kits, and timing/data integrations, enabling production teams to deliver high-quality live sports coverage. What you’ll do Prepare, configure and test OB graphics systems including Viz Engines, Trio, Chyron Prime, Tetra, Paint and NDI/HTML5 workflows for live events. Set up and manage connectivity and contribution systems such as Peplink, TVOB switches, Nimbra, Dante/AES67, Starlink, LiveU, Makito, and Appear encoders for venue-to-Sky signal delivery. Build, stage and operate flyaway kits (VFA/MCRFA) including case builds, racks, network configs, device patching, and readiness checks for domestic and international OBs. Deliver engineering support on-site at events, providing rig/derig assistance, troubleshooting, and ensuring systems operate reliably across football, rugby league, darts, golf, cricket, netball, motorsport, and more. Integrate Sky systems into partner OB trucks installation of IP kit, VLAN setup, encoder frames and KVM endpoints. Conduct workflow testing and QA, verifying new software versions, graphics pipelines, NDI/NDI Bridge behaviour, clocks/tally data flows, and end-to-end signal paths. Provide engineering diagnostics and incident resolution, including KVM, encoder, clock, AR, graphics, IP switch or network gateway faults. Maintain documentation, configuration records and security hygiene, including Windows builds, agent installs, security management and technical handovers. What you’ll bring: Essential criteria: Demonstrated experience with contribution encoders/decoders and live media transport workflows, including technologies such as LiveU, Makito, Appear X20, HyperDeck, SRT, and RTMP. Strong knowledge of IP networking within broadcast or live production environments, including areas such as VLANs, multicast networking, Dante/AES67, KVM-over-IP, and bonded connectivity solutions (e.g., Peplink). Hands-on experience supporting live production, OB (Outside Broadcast), flyaway, studio, or remote production environments, including rigging, cabling, power management, network integration, and signal routing. Proven ability to troubleshoot and resolve technical issues during live broadcasts or events, working effectively under time pressure to address connectivity, graphics, hardware, or workflow failures. Experience maintaining technical documentation and configuration management, including change control, system builds, version control, and operational consistency. Strong stakeholder communication skills and the ability to collaborate across multiple teams, including Production, Graphics, MCR, Networks, Studios, and external broadcast partners. Willingness and ability to travel domestically and internationally and work in dynamic live-event environments. Desirable skills: Experience with broadcast graphics systems such as Viz, Trio, Chyron Prime, Paint, AR/NCAM, or similar platforms. Experience as a Broadcast Engineer, Graphics Engineer, IP Engineer, or Contribution Engineer with exposure to multidisciplinary broadcast workflows. Experience working both in a technical facility environment and onsite at live events. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

We don’t just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. And we do it all right here at Sky. Role/Team overview We’re seeking an experienced manager to lead our DevSecOps tooling team. You’ll help maintain and design the next iteration of application security tooling. Working in partnership with leaders at Comcast, you’ll guide cross-functional efforts at enterprise scale. As the team lead of AppSec Tooling, you’ll oversee software that helps catalogue and prioritise vulnerability data, leveraging AI where possible to create performance multipliers. Our team currently consists of 4 Security Developers with interdisciplinary support from QA, product, program, and other areas of the business. We build and upgrade workflows in two major products—an Application Security Posture Management tool and a Cybersecurity Toolbox, used by internal employees to help track and manage vulnerabilities. What you’ll do • The AppSec Tooling Manager will own and maintain the stability and scaling of our platforms., • You’ll be responsible for managing day to day operations for the team and partnering with stakeholders to translate needs into prioritized roadmap items., • This a leadership role requiring strong technical expertise in software development lifecycles and DevSecOps best practices. What you’ll bring Leadership & Communication Proven people leadership experience, with the ability to motivate high‑performing teams, fostering a strong culture of collaboration Significant stakeholder management and communication experience, with the credibility to build trust and effective working relationships at all levels Demonstrable experience delivering service excellence while managing competing priorities and addressing immediate risks Technical Expertise: Strong technical capability, with hands-on experience using security tooling (SAST, SCA, container scanning), CI/CD pipelines and modern SDLC practices Familiarity with risk-based vulnerability management and prioritisation Deep understanding of DevSecOps methodologies, including continuous monitoring and automated security testing Experience using AI to find efficiency gains in workflows Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Leeds: Leeds Whitehall is home to our Digital Tech hub and Contact Centre teams. With vibrant office spaces, chill-out areas, a multi-faith room and restaurant, it’s a great place to work and connect. We’re located just a 10-minute walk from the train station and there’s a bus stop directly outside the office. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

Global technology & software product company operating in the observability and monitoring space, is looking for a Senior Java Engineer to join their Platform Team in London. You'll help build the distributed services that sit at the core of their product, ingesting and transforming data at scale so it can power a range of analytics and monitoring tools used by customers around the world. This is an excellent opportunity to join a highly-skilled team of Software Engineers, who value technical coding ability, ownership & delivery - no client work, no consultancy, no "Project management" of software - just pure, coding ability with Java, Data & complex, distributed global software systems required! \n Location: London (Old Street / Shoreditch). Salary: £120,000 to £125,000 basic, plus an extensive benefits package. Working arrangement: hybrid, ideally 2 days per week in the office, with flexibility considered. \n What you'll be doing \n\n • Design and build distributed services from the ground up, working with core Java rather than solely relying on heavy framework usage.\n, • Develop event-driven systems using Kafka and event-streaming frameworks at scale\n, • Orchestrate deployments on Kubernetes, defining services, deployments and stateful sets\n, • Tackle hard problems around data consistency and availability, and shape how the platform evolves\n, • Mentor other engineers while continuing to learn from senior peers across a global team\n\n \n What you need to bring \n\n • At least 7 years' experience as a backend Java developer, building complex distributed systems\n, • A deep understanding of core Java, data structures and concurrency, not just framework knowledge\n, • Hands-on experience with Kafka and event-streaming frameworks such as Flink, Kafka Streams or Spark\n, • Practical Kubernetes experience, including troubleshooting production issues\n, • Experience tuning JVM performance - garbage collection, CPU hotspots and heap dump analysis\n\n \n Why you'll love this job \n\n • Genuine ownership - you'll take on your own piece of the product within 90 days, backed by a supportive team\n, • A strong learning culture, with a structured onboarding plan and an ambitious L&D policy behind you\n, • An extensive benefits package covering health, dental, pension, life assurance and more\n\n \n If you're a backend-focused Java engineer who enjoys solving hard distributed systems problems and wants to work on technology used at global scale, we'd love to hear from you. Apply today to find out more about this opportunity.

Data Scientist \n Salary: £60,000 - £90,000 + Equity PotentialLocation: London (Hybrid)Security Requirement: Must be eligible for SC Clearance (minimum 5 years continuous UK residency) \n Help Build the Future of AI-Powered Public Safety \n We're partnering with a highly ambitious, venture-backed technology company operating in stealth mode. Their mission is to become the world's leading AI company serving the law enforcement and public safety sector. \n The Opportunity \n We're looking for a Data Scientist with strong experience in time-series analysis, signal processing and applied machine learning. This role focuses on transforming complex streams of telemetry data, including heart rate, movement, location and stress indicators, into meaningful behavioural and operational insights. \n This isn't a traditional data science role centred around dashboards or reporting. Instead, you'll be responsible for building the inference layer that sits between raw sensor data and real-world decision making. You'll develop models that identify patterns, detect anomalies and establish behavioural baselines, helping create AI-powered systems capable of delivering critical insights in real time. \n We're particularly interested in candidates with experience working on wearable technology, physiological data, telemetry platforms, IoT devices or other sensor-based environments. \n Key Responsibilities \n\n • Develop machine learning models and inference systems using complex sensor and telemetry data.\n, • Analyse multivariate time-series datasets to identify behavioural patterns and operational insights.\n, • Build anomaly detection and behavioural baselining models.\n, • Translate raw telemetry streams into meaningful, actionable intelligence.\n, • Work with streaming and low-latency data architectures to support real-time decision making.\n, • Collaborate with software engineers and AI specialists to take solutions from research through to production deployment.\n, • Continuously optimise model performance, accuracy and scalability.\n, • Contribute to technical strategy, experimentation and product development.\n, • Take ownership of complex problems across data science, product and engineering domains.\n\n What We're Looking For \n Essential Experience \n\n • Strong commercial experience in Data Science, Machine Learning or Applied AI roles.\n, • Hands-on experience working with time-series data and signal processing.\n, • Experience analysing telemetry, sensor, wearable, physiological or similar real-world datasets.\n, • Strong understanding of multivariate time-series modelling.\n, • Experience developing anomaly detection and behavioural baselining solutions.\n, • Ability to take machine learning solutions from research and experimentation into production environments.\n, • Experience solving complex problems through iteration, optimisation and experimentation.\n, • Strong coding and analytical skills.\n, • Ability to work autonomously within a fast-paced, highly collaborative environment.\n, • Previous experience within a start-up, scale-up or SME setting.\n\n Highly Desirable \n\n • Experience working with smart watches, wearable health technology or IoT platforms.\n, • Exposure to low-latency or streaming inference architectures.\n, • Experience working within public safety, security, defence, healthcare or other regulated sectors.\n\n Why Join? \n\n • Join a stealth-mode AI business with significant growth ambitions.\n, • Work on technology with genuine impact in public safety and law enforcement.\n, • Help build AI products from the ground up.\n

\n We are seeking an experienced Lead Data Engineer with deep expertise in Python, Databricks and Spark to lead the delivery of large-scale data engineering initiatives. \n This is a unique opportunity for a technical leader who enjoys combining hands-on engineering with project delivery, team leadership and stakeholder engagement in a complex enterprise environment. \n \n \n Client Details \n \n Our client is a leading international financial institution with a long-established presence across major global markets. Serving a diverse client base that includes corporates, financial institutions and investors, the organisation delivers a broad range of banking, financing and capital markets services. \n With significant investment in digital transformation and data-led innovation, the organisation is modernising its technology estate and expanding its enterprise data capabilities. Data plays a critical role in supporting business operations, regulatory obligations, analytics and strategic decision-making, making this an exciting opportunity to contribute to large-scale, business-critical data initiatives within a complex global environment. \n \n \n Description \n\n \n • Lead the end-to-end delivery of data engineering projects, ensuring successful outcomes against business objectives, timelines and quality standards\n, • Design, develop and optimise scalable data pipelines using Python, Databricks and PySpark\n, • Build and enhance ETL/ELT workflows, reusable frameworks and modern data engineering solutions\n, • Provide technical leadership and architectural guidance across data platform initiatives\n, • Design and govern Lakehouse architectures leveraging Databricks and Delta Lake\n, • Manage sprint planning, backlog prioritisation and delivery tracking within Agile teams\n, • Identify and mitigate delivery risks, dependencies and technical challenges\n, • Troubleshoot complex data, platform and performance-related issues\n, • Drive engineering best practices across coding standards, testing, performance optimisation and code reviews\n, • Act as a key interface between business stakeholders and engineering teams, translating requirements into scalable technical solutions\n, • Collaborate with architects, product owners and senior stakeholders to shape delivery roadmaps and technical direction\n, • Lead, mentor and develop a team of data engineers, fostering a culture of ownership and engineering excellence\n, • Ensure data quality, governance, reliability and security across data platforms\n, • Implement monitoring, logging and alerting capabilities to support operational excellence\n, • Champion modern engineering practices, including CI/CD, DevOps and automation\n, • Support production environments and drive continuous improvement across data solutions\n \n\n \n Profile \n \n You will bring: \n\n • 10+ years' experience in data or software engineering\n, • Proven experience as a Lead Data Engineer, Technical Lead, Engineering Lead, or similar hands-on leadership role\n, • Strong hands-on expertise in Python\n, • Extensive experience with Databricks, including workflows, notebooks and Delta Lake\n, • Strong experience with Apache Spark / PySpark\n, • Experience building and optimising enterprise-scale ETL pipelines\n, • Strong understanding of modern data architecture and Lakehouse concepts\n, • Advanced SQL and distributed data systems expertise\n, • Experience with cloud platforms such as AWS, Azure or GCP\n, • Experience working within Agile delivery environments\n, • Excellent stakeholder management and communication skills\n, • Ability to balance technical leadership with hands-on delivery responsibilities\n, • Experience delivering data engineering solutions within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated enterprise environments would be highly advantageous\n\n Desirable experience includes: \n\n • Databricks certifications\n, • Kafka or Structured Streaming\n, • CI/CD and DevOps practices\n, • Airflow or Databricks Workflows\n, • Delta Lake optimisation techniques\n, • Docker and Kubernetes\n, • Exposure to machine learning pipelines\n\n \n \n Job Offer \n \n\n • Competitive day rate of £650-880 per day Inside IR35 (Umbrella)\n, • Initial 6-month contract\n, • Hybrid working arrangement - 2/3 days onsite\n, • Opportunity to lead strategic data transformation initiatives\n, • Access to modern cloud and data engineering technologies\n, • Significant influence over technical direction and delivery\n, • Collaborative, high-performing engineering environment\n\n

Senior Data Engineer & Technical Delivery Lead (Python / Databricks) \n Location: London (Hybrid – 2-3 days onsite) \n Contract: Initial 6 months \n \n We're currently supporting a major Investment Bank that's expanding its Data Engineering function and is looking to hire multiple contractors across Senior Data Engineer and Technical Delivery Lead level. \n Whether you're a highly technical Senior Data Engineer looking to remain hands-on, or an experienced Technical Lead who enjoys combining delivery leadership with coding, we'd be keen to speak with you. \n You'll be joining a large-scale cloud data transformation programme, helping design, build and optimise enterprise data platforms using Python, Databricks and Spark within a modern Lakehouse environment. \n \n Key Responsibilities \n\n • Design, develop and maintain scalable data pipelines using Python and Databricks.\n, • Build, optimise and support enterprise ETL/ELT workflows using Apache Spark and Delta Lake.\n, • Design and develop robust data models and Lakehouse architectures.\n, • Implement and manage data workflows within the Databricks ecosystem.\n, • Ensure high levels of data quality, governance and pipeline reliability.\n, • Optimise performance across large-scale distributed data processing platforms.\n, • Collaborate with architects, product owners, analysts and engineering teams to deliver high-quality data solutions.\n, • Implement monitoring, logging and alerting across critical data platforms.\n, • Drive engineering best practice through code reviews, mentoring and technical collaboration.\n, • For Technical Delivery Lead opportunities, provide technical leadership, architectural oversight and end-to-end delivery of complex data engineering initiatives.\n\n \n Required Skills & Experience \n\n • Strong commercial experience developing data engineering solutions using Python.\n, • Extensive hands-on experience with Databricks, including Workflows, Notebooks and Delta Lake.\n, • Strong experience with Apache Spark / PySpark.\n, • Proven experience building scalable ETL/ELT pipelines.\n, • Strong SQL and data modelling skills.\n, • Experience designing modern Lakehouse architectures.\n, • Experience working with cloud platforms including AWS, Azure or GCP.\n, • Experience with modern data warehousing technologies such as Snowflake, Redshift or BigQuery.\n, • Experience with orchestration tools such as Airflow or Databricks Workflows.\n, • Previous experience working within Agile delivery environments.\n\n Desirable Experience \n\n • Databricks certifications.\n, • Kafka or Structured Streaming.\n, • CI/CD and DevOps practices.\n, • Docker and Kubernetes.\n, • Exposure to Machine Learning pipelines.\n, • Experience within Financial Services or other highly regulated environments.\n\n \n About You \n You'll be an experienced Data Engineer or Technical Lead with a passion for building modern, scalable data platforms. Comfortable working in a collaborative Agile environment, you'll enjoy solving complex technical problems and delivering high-quality engineering solutions. If you're applying at Technical Delivery Lead level, you'll also bring strong leadership, stakeholder management and mentoring experience whilst remaining hands-on technically.

\n\n \n Senior Data Engineer\n \n \n £550 - £650 per day\n \n\n\n \n \n \n \n \n \n \n \n \n \n London - 2 days per week\n \n \n \n This is an opportunity to join a large-scale data transformation programme within a highly data-driven organisation. You'll play a key role in modernising a complex data estate, supporting business-critical analytics and enabling future AI and data science capabilities across the organisation.\n \n \n \n The Company\n \n \n They are a well-established organisation with a significant digital presence and one of the largest consumer data environments in the UK. As they evolve their data platform, they are investing heavily in cloud technologies, scalable data infrastructure, and modern engineering practices.\n \n \n \n The Role and Deliverables\n \n \n • Design, build, and operate high-volume streaming and batch data pipelines across a modern cloud environment.\n, • Deliver complex migration projects, including the consolidation of real-time analytics platforms onto a scalable architecture.\n, • Enhance and optimise the lakehouse environment, including schema management, data contracts, partitioning strategy, and performance optimisation.\n, • Build reliable, production-grade data foundations that support analytics, machine learning, and data science initiatives.\n, • Establish and promote engineering best practices across infrastructure as code, CI/CD, observability, and code quality.\n, • Provide technical leadership and mentorship to engineers within the wider data team.\n \n \n Your Skills & Experience\n \n \n, • Strong experience owning and operating production data infrastructure at significant scale.\n, • Proven capability delivering large-scale streaming data solutions using technologies such as Kafka, Flink, Spark Streaming, Dataflow, or similar.\n, • Demonstrated success leading end-to-end migrations of live production systems.\n, • Strong knowledge of cloud platforms and distributed data architectures.\n, • Experience with Kubernetes and infrastructure as code approaches.\n, • Ability to partner effectively with data scientists, analysts, and business stakeholders.\n, • Strong understanding of data platform reliability, performance, scalability, and cost optimisation.\n, • Experience with technologies such as ClickHouse, Apache Iceberg, BigQuery, dbt, Elasticsearch, Druid, GCP, or AWS is highly desirable.\n \n \n If you're an experienced Senior Data Engineer looking to lead complex data platform projects in a high-scale environment, apply today to learn more about this contract opportunity.\n \n \n \n \n \n \n \n \n \n \n\n

Data Architect \n Shape the future of enterprise data architecture within a modern cloud environment. \n We are seeking an experienced Data Architect to play a key role in designing, developing, and evolving a modern data platform. This position offers the opportunity to drive strategic data initiatives, implement Data Mesh principles, and help create scalable, secure, and high-performing data solutions that support business growth. \n The Role \n As a Data Architect, you will be responsible for defining and governing data platform architecture, ensuring data products are scalable, interoperable, and aligned to enterprise standards. Working closely with engineering teams and business stakeholders, you will provide technical leadership, architectural guidance, and strategic direction across the data landscape. \n Key Responsibilities \n\n • Design and oversee the architecture of modern cloud-based data platforms.\n, • Develop architectural documentation, technical designs, and standards.\n, • Champion Data Mesh and Data-as-a-Product principles across development teams.\n, • Evaluate and recommend tools, technologies, and services to support platform growth.\n, • Establish and maintain architectural best practices and governance frameworks.\n, • Design secure, scalable, and high-performing data solutions.\n, • Create robust data pipelines supporting batch, event-driven, and streaming workloads.\n, • Ensure data products are discoverable, trustworthy, and interoperable.\n, • Provide technical leadership, mentoring, and guidance to engineers and analysts.\n, • Collaborate with stakeholders to shape data strategy, roadmaps, and future capabilities.\n\n About You \n You are an experienced Data Architect or Data Solutions Architect with strong cloud platform expertise and a passion for modern data architectures. You enjoy solving complex problems, influencing technical direction, and working collaboratively across both technical and non-technical teams. \n Skills & Experience \n\n • Proven experience in a Data Architect, Data Solutions Architect, or similar role.\n, • Strong experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.\n, • Good understanding of Google BigQuery and modern data platform technologies.\n, • Expertise in data architecture, data warehousing, and large-scale data platforms.\n, • Strong knowledge of Data Mesh, database design, and ETL/ELT methodologies.\n, • Experience designing scalable, secure, and governed data solutions.\n, • Understanding of data security, compliance, and GDPR requirements.\n, • Excellent analytical and problem-solving abilities.\n, • Strong communication skills with the ability to engage both technical and non-technical stakeholders.\n, • Experience mentoring and supporting technical teams.\n\n Why Apply? \n\n • Opportunity to influence the future direction of a modern cloud data platform.\n, • Work with cutting-edge data technologies and architectures.\n, • High-impact role with significant technical ownership.\n, • Collaborative environment focused on innovation, engineering excellence, and continuous improvement.\n

We work with a range of UK employers actively hiring across these roles. \n About the Roles \n We're looking for experienced Architects for upcoming senior technical roles spanning Data Architect, Solution Architect, Enterprise Architect, Technical Architect and Cloud Architect specialisms. These will be hands-on, strategically-positioned roles where you'll set technical direction across complex systems, make the architectural decisions that matter and translate business intent into deliverable technical foundations. \n You'll work at the intersection of business strategy and technical execution—shaping how organisations design, integrate and evolve their systems. The role suits someone who combines deep technical authority with the breadth to span multiple specialisms, the pragmatism to make trade-offs under constraint, and the communication skills to bring engineering and business stakeholders along. \n Key Responsibilities \n\n • Define and own architectural direction for systems, platforms and integrations across the technology estate\n, • Translate business strategy and capability gaps into target architectures, roadmaps and design decisions\n, • Set and document architectural standards, patterns and principles—and ensure they're applied consistently\n, • Lead the design of complex cross-system solutions, balancing scalability, cost, security, performance and pace of delivery\n, • Partner with engineering teams to guide implementation, review designs and unblock technical decisions\n, • Govern integration patterns, data flows and system boundaries between internal platforms and third-party services\n, • Evaluate emerging technologies, cloud services and vendor solutions; make recommendations grounded in trade-off analysis\n, • Shape data models, schemas and information architecture that scale with business needs\n, • Support engineering managers and senior engineers on technical strategy without owning their line management\n, • Represent architecture in senior forums—technical steering groups, executive briefings and external partnerships\n\n What You'll Bring \n Architectural Authority: \n\n • Deep hands-on engineering background before moving into architecture (Senior Engineer / Lead Engineer / Principal level or equivalent)\n, • Track record of designing and delivering complex systems end-to-end—not just whiteboard work\n, • Strong opinions, weakly held; able to defend architectural choices with reasoning and evidence\n, • Comfortable making decisions under ambiguity, with incomplete information and competing priorities\n, • Experience documenting architectural decisions (ADRs, target-state diagrams, capability maps) at quality\n\n Technical Breadth: \n\n • Strong grounding in modern cloud platforms (AWS, Azure, GCP)—at least one in serious depth\n, • Familiarity with data architecture: warehouses, lakes, lakehouses, streaming, modelling, governance\n, • Working understanding of integration patterns (APIs, events, messaging, ETL/ELT, iPaaS)\n, • Awareness of security, identity, observability and resilience as architectural concerns\n, • Polyglot exposure across modern stacks; able to assess and challenge implementations across languages and frameworks\n\n Communication & Stakeholder Skills: \n\n • Excellent written and verbal communication; able to adapt for engineers, executives and non-technical partners\n, • Confidence influencing without authority; building consensus across teams that don't report to you\n, • Pragmatic mindset; able to balance architectural purity with delivery reality\n, • Comfortable challenging product, engineering and business stakeholders constructively\n\n Experience Level: \n\n • Minimum 7+ years for Solution / Technical Architect, 10+ for Data / Cloud Architect, 12+ for Enterprise Architect\n, • Background in software engineering, data engineering, platform engineering or related technical discipline\n, • Examples of architectures designed, systems delivered or technical strategies shaped end-to-end\n\n What We Offer \n\n • The opportunity to shape technical direction at organisations where the systems genuinely matter\n, • A senior IC track—architectural influence without the line management overhead\n, • Scope to span specialisms rather than be boxed into one domain\n, • Engineering peers strong enough to push back and raise the bar\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n\n Job Type: Full-time \n Benefits: \n\n • Flexitime\n, • Work from home\n\n

Data Architect – Azure, Databricks & Snowflake \n \n Remote First (UK) | Monthly London Meetups | £100,000–£110,000 \n \n A fast-growing international fintech organisation is seeking an experienced Data Architect to lead the design and evolution of a modern cloud-native data platform. This is a senior-level opportunity to shape enterprise-wide data strategy and architecture across a highly scalable Azure and Snowflake ecosystem, supporting advanced analytics, AI/ML, business intelligence, and data-driven product innovation. \n \n You will take ownership of the organisation’s modern data architecture roadmap, designing secure, scalable, and high-performing platforms that enable analytics and engineering teams to deliver at pace. This role combines strategic architecture leadership with hands-on technical expertise across Azure, Databricks, and Snowflake technologies. \n \n Key Responsibilities \n\n • Define and maintain the enterprise data architecture strategy and roadmap\n, • Design scalable, secure, cloud-native data platforms using Azure and Snowflake\n, • Architect modern lakehouse and enterprise analytics solutions\n, • Lead the design of conceptual, logical, and physical data models\n, • Support batch, streaming, and real-time data processing capabilities\n, • Drive best practice across governance, metadata, lineage, and data quality\n, • Optimise platform performance, scalability, reliability, and cost\n, • Collaborate closely with engineering, analytics, architecture, and data science teams\n, • Provide technical leadership and architectural guidance across delivery teams\n, • Promote automation, CI/CD, and Infrastructure as Code practices\n, • Evaluate emerging technologies and contribute to long-term platform innovation\n\n Required Experience \n\n • Strong experience designing enterprise data platforms within Microsoft Azure environments\n, • Deep expertise with Azure Databricks, Spark (PySpark/Scala), Delta Lake, and Lakehouse architecture\n, • Strong hands-on experience with Snowflake architecture and optimisation\n, • Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric\n, • Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault\n, • Strong SQL, Python, Spark, and Snowflake SQL skills\n, • Experience with CI/CD and Infrastructure as Code tools such as Terraform, ARM, or Bicep\n, • Knowledge of governance and cataloguing tools such as Microsoft Purview\n, • Proven ability to operate in senior technical leadership or architecture roles\n\n Desirable certifications include: \n\n • Microsoft Certified: Azure Data Engineer Associate\n, • Azure Solutions Architect Expert\n, • Databricks Certified Associate/Professional\n, • SnowPro Core Certification\n\n If you are passionate about modern data architecture and want to play a key role in building scalable cloud data platforms within a technology-driven organisation, we’d love to hear from you. \n \n Salary: £100,000–£110,000 \n Remote / London

Lead Backend Software Engineer – Data ServicesFederated Data Services | Distributed Systems | Apache Spark | DataFusion | Python | KubernetesLocation: London (2 days per week onsite)Rate: £700–£800 per day (Outside IR35)Duration: Initial 6-month contract with likely extensionOverviewWe're looking for an experienced Lead Backend Software Engineer to join a high-profile programme building secure, cloud-native data services that will support data-driven research and innovation at national scale.This is a founding engineering role, offering the opportunity to shape the architecture, engineering standards, and core data services from the ground up. Working closely with the Engineering Manager and a small team of senior engineers, you'll establish the technical foundations for a complex federated data platform operating within a highly regulated environment.We're looking for someone who enjoys building from first principles, thrives in ambiguity, and can balance strategic architectural thinking with hands-on software engineering. This role is centred around designing and building distributed data services rather than traditional application development.Role & Responsibilities\n\n • Lead the design and development of scalable, cloud-native data services supporting a federated platform.\n, • Define architectural patterns, engineering standards, and best practices that will scale across the wider organisation.\n, • Design and build distributed server-side services using modern software engineering practices.\n, • Architect and develop federated data services capable of securely querying and processing data across multiple environments.\n, • Design high-performance data processing and streaming workflows using technologies such as Apache Spark, Apache DataFusion, or similar distributed query frameworks.\n, • Design and implement Kubernetes-based services and containerised workloads.\n, • Build secure APIs and backend services supporting authentication, authorisation, governance, and audit requirements.\n, • Contribute to the design of distributed systems, data pipelines, and platform architecture.\n, • Establish CI/CD pipelines, Infrastructure as Code, automated testing, and deployment practices.\n, • Evaluate and integrate open-source technologies and distributed data frameworks.\n, • Mentor engineers and promote engineering excellence across the team.\n, • Work closely with architecture, product, security, and external stakeholders.\nSkills & ExperienceEssential\n\n, • Experience as a Lead Engineer, Principal Engineer, Staff Engineer, Software Architect, or similar senior technical role.\n, • Strong server-side software engineering experience, with flexibility across programming languages such as Python, Java, Go, Scala, C#, or similar.\n, • Experience designing and building distributed data services or large-scale backend platforms.\n, • Experience with Apache Spark, Apache DataFusion, Trino, Presto, or similar distributed data processing technologies.\n, • Strong architecture and design experience across distributed systems and data services.\n, • Experience designing scalable data processing or data streaming workflows.\n, • Experience building cloud-native applications on AWS, Azure, or GCP.\n, • Experience with Kubernetes, Docker, and containerised environments.\n, • Experience building and operating CI/CD pipelines and Infrastructure as Code.\n, • Strong understanding of distributed systems, scalability, resilience, and secure-by-design principles.\n, • Comfortable making architectural decisions within evolving, fast-paced environments.\n, • Excellent communication skills with the ability to work across technical and non-technical teams.\nDesirable\n\n, • Experience building federated data services or federated data platforms.\n, • Experience within healthcare, life sciences, research, government, or other highly regulated environments.\n, • Knowledge of Trusted Research Environments (TREs), Secure Data Environments (SDEs), or similar secure data platforms.\n, • Experience with data governance, metadata services, data catalogues, or secure data access models.\n, • Exposure to event-driven architectures and streaming technologies such as Kafka, Flink, or Spark Streaming.\n, • Experience evaluating or contributing to open-source technologies.\n

Contract Role – Senior FX e-Trading Java Developer – London/Hybrid – 12 months initial – Inside IR35 PAYE \n \n Role Overview: \n\n • Job Title: Senior FX e-Trading Java Developer\n, • Location: Hybrid – 4 days onsite per week in London\n, • Contract Type: Contract \n, • Duration: 12 months initial \n, • Rate: £ per day Inside IR35\n\n \n About the role \n\n • Contribute to a new, cutting-edge, low-latency FX e-trading platform - delivering high-performance, resilient, and secure systems.\n, • Partner closely with product, trading, and infrastructure teams to deliver features end-to-end—from UI and desktop container experiences to low-latency backend services.\n, • Lean into the latest AI coding tools to accelerate delivery, strengthen code quality, and enhance developer experience.\n\n What you’ll do \n\n • Architect and implement scalable, event-driven, and microservices-based backend components, including APIs, market data, order/risk workflows, and real-time streaming.\n, • Optimize latency, throughput, and reliability across the stack; instrument observability (metrics, tracing, logging) and performance profiling.\n, • Establish engineering best practices: code standards, testing strategies (unit/integration/E2E), CI/CD, secure coding, and release management.\n, • Mentor engineers through code reviews, design sessions, and hands-on pairing—encouraging thoughtful abstractions, clean architecture, and pragmatic delivery.\n, • Use AI development tools for assisted coding, refactoring, test generation, secure code analysis, documentation, and knowledge search—evaluating where AI accelerates while maintaining human oversight.\n, • Collaborate with stakeholders to translate trading requirements into robust technical designs; write clear specs and implementation plans.\n, • What we’re looking for\n, • Professional software engineering experience, with deep expertise in:\n, • Core Java, multithreading/concurrency, performance tuning.\n, • Experience with low-latency design and patterns.\n, • Designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming).\n, • Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS).\n, • Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows, and execution workflows.\n, • Hands-on with CI/CD, containerization, cloud/on-prem deployments, and observability.\n, • Comfortable integrating AI coding tools into daily development workflows.\n, • Excellent communication and stakeholder engagement; able to lead initiatives and mentor others.\n\n Nice to have \n\n • Solace\n\n \n Please feel free to contact myself – Daisy Nguyen at Gibbs Consulting/Atrium UK for a confidential chat to know more details about the role. \n \n Please also note: Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Media Business Analyst \n\n • Contract: Initial 6 months \n, • Location: London - Hybrid (3 days onsite, Thursday anchor day)\n, • Daily Rate: Inside IR35\n\n We are excited to offer an opportunity for an experienced Media Business Analyst to join a major transformation programme focused on modernising and monetising video production and content distribution capabilities for one of the world's most respected media organisations. This role is crucial in shaping the future across production facilities, content workflows, media asset management, editing, archiving, distribution, and monetisation. \n Day-to-day of the role: \n\n • Elicit, analyse, and document business requirements across media production and content distribution workflows.\n, • Create detailed As-Is and To-Be process maps.\n, • Facilitate workshops, requirements sessions, and stakeholder reviews.\n, • Produce business process documentation, use cases, user stories, and acceptance criteria.\n, • Support business case development and solution evaluation.\n, • Analyse and optimise end-to-end content supply chains.\n, • Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving.\n, • Identify opportunities for workflow automation and operational efficiencies.\n, • Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams.\n, • Navigate a complex stakeholder landscape, facilitating decision-making across multiple business functions.\n, • Drive communication and alignment throughout project delivery.\n, • Work closely with product, engineering, and delivery teams throughout implementation.\n, • Support UAT planning and execution.\n, • Ensure delivered solutions meet operational and business requirements.\n, • Help drive adoption of new tools and ways of working.\n\n Required Skills & Qualifications: \n\n • 5+ years' experience as a Business Analyst with a strong business analysis background.\n, • Significant experience in the media industry, supporting broadcasters, publishers, news organisations, streaming providers, production companies, or post-production environments.\n, • Good understanding of media production workflows, post-production processes, Media Asset Management (MAM), Production Asset Management (PAM), digital content distribution, metadata management, video editing workflows, content storage, and archive strategies.\n, • Experience with digital transformation projects, ideally involving cloud migration programmes, modernisation of media production platforms, and migration from on-premise to cloud-native workflows.\n, • Experience with technologies such as LucidLink, Iconik, Adobe production environments, or similar platforms is advantageous.\n, • Excellent requirements gathering, documentation skills, and strong process modelling experience.\n, • Workshop facilitation and stakeholder management expertise.\n, • Experience working within Agile delivery environments.\n\n Personal Attributes: \n\n • Proactive and self-starting, comfortable operating with limited direction.\n, • A confident stakeholder manager, strong at building consensus across diverse groups.\n, • Commercially aware, collaborative, and pragmatic.\n, • Comfortable challenging and influencing where required.\n, • Able to communicate effectively with both technical and non-technical audiences.\n\n To apply for this Media Business Analyst position, please submit your CV and a member of the Talent team will be in touch.

\n Data Platform Architect (SC Cleared) \n £82,000 - £95,000 + Bonus + BenefitsLondon | Hybrid (3 days per week onsite)Permanent \n We're looking for a Data Platform Architect to join a growing consulting team delivering large-scale data, analytics and AI transformation programmes across government and other highly regulated environments. \n This is a role for someone who enjoys operating at the intersection of architecture, engineering and client engagement. You'll be trusted to shape technical strategy, influence senior stakeholders, and lead the design of modern cloud-native platforms that enable organisations to make better use of their data and accelerate AI adoption. \n You'll work across the full data lifecycle, helping clients modernise legacy estates, implement scalable cloud solutions and develop the foundations needed to support advanced analytics, machine learning and generative AI capabilities. What you'll be doing\n\n • Designing and delivering enterprise-scale data, analytics and AI platforms in AWS environments.\n, • Defining target-state architectures, technology roadmaps and strategic data capabilities.\n, • Building cloud-native solutions across data ingestion, transformation, storage, governance, analytics and AI workloads.\n, • Designing architectures that support both batch and real-time streaming data processing.\n, • Creating API-first and microservices-based solutions that can scale with business demand.\n, • Supporting the adoption of Machine Learning, Generative AI, Foundation Models and Agentic AI approaches within enterprise environments.\n, • Advising clients on data governance, security, compliance and responsible AI practices.\n, • Working closely with engineers and delivery teams to ensure architecture is translated into practical, scalable solutions.\n, • Leading technical teams across multiple workstreams and acting as the senior escalation point for architectural challenges.\n, • Building strong relationships with senior stakeholders and helping shape technology and investment decisions.\n, • Mentoring architects and engineers, helping to develop capability across the wider team.\n, • Driving best practice across MLOps, AIOps, CI/CD and modern cloud engineering approaches.\nWhat we're looking for\n\n, • Extensive experience designing and delivering modern data platforms, analytics solutions and AI architectures.\n, • Deep expertise in AWS-based data and analytics ecosystems.\n, • Strong understanding of cloud-native architecture and distributed systems.\n, • Experience designing solutions across the entire data value chain.\n, • Proven experience with real-time, streaming and event-driven architectures.\n, • Experience integrating AI and Machine Learning services into production platforms.\n, • Strong knowledge of data governance, security, master data management and regulatory requirements.\n, • The ability to influence senior stakeholders and communicate complex technical concepts to both technical and non-technical audiences.\n, • Experience leading large multidisciplinary teams delivering complex transformation programmes.\n, • Active SC Clearance.\n\n

MuleSoft Lead Developer \n Location: Remote (UK-based) \n Type: Full-Time | Permanent \n Salary: Up to £72,000 + excellent benefits \n Security: SC Clearance Eligibility Required The Opportunity\n We're working with a leading organisation undergoing significant digital transformation, and they're looking to bring in two experienced MuleSoft Lead Developers to help drive the next phase of their integration strategy. This is a fantastic opportunity to join a high-performing engineering environment where you'll lead from the front-owning delivery, shaping best practice, and mentoring teams while working on enterprise-scale integration programmes. The Role\n\n • Design and deliver APIs using API-led connectivity (System, Process, Experience layers)\n, • Build complex integration solutions including event-driven architectures, orchestration, streaming, and batch processing\n, • Lead development on key projects, ensuring high-quality engineering standards\n, • Produce reusable assets, modules, and DataWeave transformations\n, • Contribute to API specifications (RAML/OAS) and integration design documentation\n, • Ensure robust logging, monitoring, alerting, and error handling frameworks\n, • Support CI/CD pipelines, automated testing, and Git-based workflows\n, • Deliver MUnit test coverage of 80%+\n, • Provide BAU support including incident resolution and root cause analysis\n, • Mentor developers, conduct code reviews, and promote best practice\nAbout You\n\n, • Extensive experience in MuleSoft development (Mule 4)\n, • Strong capability with DataWeave 2.0 and Anypoint Platform\n, • MuleSoft Certified Developer Level 1 (Level 2 desirable)\n, • Experience delivering enterprise-scale integrations\n, • Integration experience with Salesforce, SAP, ServiceNow, AWS/Azure, databases, and legacy systems\n, • Knowledge of API security (OAuth 2.0, JWT, mTLS/SSL/TLS)\n, • Familiarity with CloudHub v2.0, Runtime Fabric, and hybrid architectures\nWhy Apply\n\n, • Fully remote working\n, • Competitive salary and strong benefits package\n, • Generous holiday allowance with option to buy more\n, • Matched pension, life assurance, and enhanced family leave\n, • Learning and development opportunities\n, • Inclusive networks and mentoring communities\n, • Work on high-impact transformation programmes\nInterested?\n If you're a MuleSoft expert ready to step into a lead role where you can make a real impact, apply now or get in touch for a confidential discussion. \n Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. \n Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. \n By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website. \n

We work with a range of UK employers actively hiring across these roles. \n Job Description: \n UK-Based (On-Site, Hybrid or Remote) \n About the Role We're looking for experienced Data Engineers at all levels—from Data Engineer through to Senior, Lead, Principal, Analytics Engineer and Data Platform Engineer positions—for upcoming roles across data pipelines, warehouses, lakehouses and the platforms that data teams depend on. These are hands-on engineering roles where you'll build and operate the foundations that analytics, BI, data science and ML all stand on. \n You'll work across the full data engineering lifecycle—from ingestion and modelling through to transformation, orchestration, quality, observability and platform operation. The role suits someone who pairs strong software engineering discipline with genuine interest in data modelling and a pragmatic view of when to build, when to buy and when to leave it alone. \n Key Responsibilities \n\n • Design, build and operate production ELT / ETL pipelines that move data reliably at the volume and latency the business needs\n, • Model data in the warehouse or lakehouse—dimensional, Data Vault, One Big Table or domain-driven approaches, fit to the use case\n, • Build and maintain transformation layers in dbt (or equivalent), with appropriate testing, documentation and lineage\n, • Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it\n, • Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks)\n, • Implement data quality, testing, monitoring and observability across pipelines and models\n, • Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink)\n, • Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need\n, • Contribute to data governance, cataloguing, access management and platform security\n, • (Analytics Engineer) Sit closer to the analyst side—transformation, modelling, semantic layer, metrics\n, • (Platform Engineer) Sit closer to the platform side—infra, tooling, developer experience for data practitioners\n, • (For Senior/Lead/Principal) Set data architecture, mentor engineers, lead platform strategy and larger initiatives\n\n What You'll Bring \n Technical Expertise: \n\n • Strong SQL—comfortable with complex transformations, performance tuning and warehouse-specific dialect\n, • Strong Python skills (or Scala / Java where relevant) for pipeline development and tooling\n, • Hands-on experience with dbt or equivalent transformation tooling\n, • Orchestration experience (Airflow, Dagster, Prefect or equivalent)\n, • Production experience with at least one major cloud warehouse / lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks)\n, • Cloud platform experience (AWS, GCP, Azure)\n, • Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches\n, • CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform)\n, • Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus\n, • Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus\n\n Engineering & Soft Skills: \n\n • Strong software engineering discipline—pipelines are products, not scripts\n, • Data quality mindset—if it's not tested, it's broken\n, • Pragmatic about the build-vs-buy and complexity-vs-utility trade-offs\n, • Strong communication with analysts, scientists and BI partners—you treat them as your users\n, • Collaborative approach with platform, ML and product peers\n, • Comfortable with ambiguity and shaping unclear data requirements into clean engineering scope\n, • Curiosity about the business problems the data underneath is serving\n\n Domain Flexibility: \n\n • Roles span SaaS, fintech, retail, consumer, healthtech, public sector, media and B2B platforms\n, • Background in any of these is welcomed; appetite to learn an adjacent stack valued just as much\n\n Experience Level: \n\n • Minimum 2+ years for Data Engineer / Analytics Engineer, 5+ for Senior, 8+ for Lead / Principal\n, • Background in data engineering, analytics engineering, data platform engineering or related software discipline\n, • Examples of pipelines, models or platforms you've owned end-to-end in production\n\n What We Offer \n\n • Opportunity to work on data platforms that genuinely underpin analytics, BI, science and ML at meaningful scale\n, • Exposure to modern data tooling, cloud warehouses, transformation frameworks and orchestration platforms\n, • Roles at the level you're ready for—we're hiring across the IC data engineering spectrum\n, • A collaborative environment where engineering rigour and modelling quality are both valued\n, • Clear scope to develop specialist depth (streaming, platform, analytics engineering, modelling) or stay broad\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n

\n As a Principal Engineer, you won't just be writing code—you will be shaping the technical DNA of one of the UK’s leading financial institutions. This is a high-visibility career move where you’ll champion modern engineering practices, steer large-scale system designs, and mentor high-performing teams to deliver robust, cloud-native platforms powered by Java, AWS, and Kafka. \n Great benefits work from London/Manchester 2 days a week. Plus bonus, pension and much more What’s in it for you?\n\n • True Technical Influence: Drive the definition of our overarching technical strategy, product roadmaps, and cloud-ready migration plans using modern architecture.\n, • Industry Recognition: Act as our engineering ambassador, leading participation in major internal and industry-wide tech conferences and events.\n, • Modern Tech Culture: Work within a highly collaborative microservices environment leveraging real-time event streaming and cutting-edge development tooling.\n, • Location Flexibility: Work from our state-of-the-art hubs in Edinburgh, London, or Manchester with a balanced hybrid setup.\nYour Mission (What you’ll do)\n In this role, you will balance high-level strategic architecture with hands-on technical leadership. \n\n • Lead & Deliver: Manage the technical delivery of one or more software engineering teams, safeguarding code quality, scalability, and performance.\n, • System Architecture: Convert complex functional and non-functional requirements into elegant, high-performance, and resilient system designs across AWS infrastructure.\n, • Build the Foundation: Design and develop reusable libraries, APIs, and real-time Kafka data pipelines to be leveraged by engineering teams across the entire bank.\n, • Stakeholder Partnership: Engage directly with senior stakeholders to explore, suggest, and refine appropriate technical solutions for business-critical features.\n, • Champion Quality: Advocate for excellent architectural principles, writing clean, robust Java code alongside unit and integration tests within automated environments.\nWhat you’ll bring to the table (The skills we need)\n We are looking for a seasoned engineering leader who is passionate about modern, scalable software design. \n\n • Core Java Expertise: A strong background in Java development, with an excellent understanding of programming best practices, especially around scalability, availability, and performance.\n, • Cloud & AWS Infrastructure: Proven experience designing, deploying, and maintaining resilient systems within AWS cloud environments.\n, • Event-Driven Architecture: Deep understanding of real-time data streaming and messaging systems, with hands-on experience using Apache Kafka to decouple microservices.\n, • Technical Leadership: Proven experience leading software development teams, introducing and executing technical strategies from scratch. Excellent communicator and building teams.\n, • Modern Practices: A strong advocate for Test-Driven Development (TDD), automated test frameworks, mocking, stubbing, and API design.\n, • Adaptability: The ability to rapidly translate complex business requirements into technical solutions, and a proven track record of supporting and maintaining code written by other teams.\n\n

\n Lead Databricks Data Engineer \n\n\n £500 - £600 per day Outside IR35 London, hybrid working\n\n\n This freelance opportunity offers the chance to shape the future-state data platform for a large, complex financial services organisation. The focus is on moving from slow, batch-based analytics towards a more modern, streaming-led architecture, with clear ownership over data vision, use cases, and delivery direction.\n\n\n The Company They are a well-established organisation operating at scale within the UK financial services and pensions landscape. Managing significant volumes of legacy and live data, they work with both onshore and offshore delivery partners. The business is at a pivotal point in modernising how data is accessed, governed, and used to drive insight. Clear communication and pragmatic decision-making are highly valued.\n\n\n The Role and Deliverables\n\n\n • Define a clear end-to-end data vision, covering current state, target architecture, and practical steps to get there.\n, • Lead the design and development of a Databricks-based medallion architecture, with a strong focus on a robust Gold layer for analytics.\n, • Improve data availability by shifting from monthly batch processes towards more frequent or streaming ingestion where appropriate.\n, • Act as the senior technical decision-maker on data use cases, prioritisation, and trade-offs.\n, • Work closely with onshore teams and an offshore partner to unblock progress, clarify ownership, and accelerate delivery.\n, • Provide regular, clear updates to senior stakeholders, ensuring alignment on progress and next steps.\n\n\n Your Skills & Experience\n\n\n, • Strong experience as a Lead Data Engineer within financial services, ideally pensions or a similarly regulated environment.\n, • Proven capability designing and delivering modern data platforms using Databricks and medallion architecture principles.\n, • Experience dealing with large volumes of legacy data and integrating it with modern analytics platforms.\n, • Confidence defining data use cases and translating business needs into technical delivery.\n, • Ability to lead mixed teams across onshore and offshore models and make effective resource allocation decisions.\n, • Excellent communication skills, with the credibility to engage senior stakeholders and drive momentum.\n\n \n

Data & Insights Analyst\n Location: London (Hybrid: 2-3 days/week in office) \n Contract: 11-Month Contract (Potential to extend) \n Rate: Up to £375 per day (Umbrella) About the Business\n A world-renowned global entertainment brand known for delivering iconic film, television, and streaming content to millions of consumers worldwide. About the Role\n We are seeking an ambitious Data & Insights Analyst to join a high-impact, specialist Digital Marketing function. Acting as an internal data consultant, you will translate complex marketing performance data into actionable commercial recommendations, shape campaign measurement frameworks, and optimize digital marketing performance across high-profile media releases. Key Responsibilities\n\n • \n Analytics & Visualisation: Build, maintain, and own bespoke Tableau reporting solutions and dashboards to democratize data access for internal and external stakeholders. \n • \n Measurement Frameworks: Define "metrics that matter", establish performance frameworks, and conduct correlation/regression analysis to evaluate marketing and media effectiveness. \n • \n Audience & 1st Party Data Strategy: Support 1st-party data strategies across CRM, Web Analytics, and Social to maximize efficiencies in paid digital campaigns (targeting, lookalike modeling, exclusions). \n • \n Continuous Improvement: Assess current data pipelines, resolve reporting delays, and work alongside technical teams (Engineering/Data Science) to ensure high data integrity. \n • \n Stakeholder Enablement: Upskill marketing teams on self-service reporting tools to build internal data fluency. \nWhat We Are Looking For\n\n • \n Experience: 4-6+ years in data management, analytics, and reporting within a Direct-to-Consumer (D2C) environment (B2C media, streaming, retail, or entertainment preferred). \n • \n Technical Skills: Expert-level Tableau experience is essential. Working knowledge/exposure to Snowflake, Databricks, Datorama, SQL, or marketing APIs is highly advantageous. \n • \n Marketing & Paid Media Knowledge: Understanding of DMPs, DSPs, Meta, and Google paid media analytics. \n • \n Mindset: Problem-solver who focuses on business outcomes and commercial impact rather than just generating reports. \n

Data Technical LeadCertain Advantage is hiring for a Data Technical Lead based in London.This role is on an initial contract basis until the end of the year and requires onsite working three days per week.The CompanyWe’re working with a business undergoing significant cloud modernisation, transforming its data landscape to improve speed, agility, and technical capability. The PDE platform is a key initiative supporting the organisation’s future data vision, enabling consistent global reporting, near real-time access to curated datasets, and improved business decision-making through enhanced data capabilities.The Role: We are seeking a highly experienced Technical Lead with deep expertise in the Azure Data Platform and Databricks ecosystem. The ideal candidate should have strong hands-on experience with Structured Streaming, Delta Live Tables (DLT), PySpark architecture, Python, and SQL, and a proven track record of delivering large-scale enterprise data platforms.You’ll be responsible for:\n\n • Leading the design, development, and implementation of scalable data solutions across Azure and Databricks.\n, • Defining and driving data strategy, governance, quality standards, and platform best practices.\n, • Optimising platform performance and managing cloud costs, with a focus on Databricks streaming workloads.\n, • Providing end-to-end technical leadership from architecture through delivery and production support.\n, • Collaborating with business stakeholders to deliver solutions aligned with organisational goals.\nThe Individual\n\n, • Strong experience leading data engineering or technical delivery teams within complex enterprise environments.\n, • Proven experience designing and delivering solutions using Azure and Databricks.\n, • A strong understanding of data architecture, governance, data quality, and cloud optimisation.\n, • Experience managing Databricks streaming workloads and improving platform performance.\n, • Experience within the financial trading domain, including knowledge of trading data models and related business processes.\n, • A track record of delivering complex data solutions from concept through to implementation and support.\nDoes this sound like your next career move? Apply today.Working with Certain AdvantageWe go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to certainadvantage.co.uk and register for job alerts and career guidance tips.

Our client, a leading global SaaS organisation is looking for a Data Engineer to join their International Engineering team. \n This is a great opportunity to contribute greatly to an extremely engineering-focused organization and further your experience across technologies such as Cloud Composer, Airflow, Dataflow, Spark, Terraform, Google Cloud Platform, etc; \n You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This a 12 months contract Hybrid role with the opportunity for the role to go permanent. \n What You'll Do: \n\n • Build and maintain scalable data pipelines for BigQuery using Cloud Composer and Airflow;\n, • Provide observability and monitoring using Monte Carlo and Looker as well as operational tools such as NewRelic and Splunk, driving reliability, data quality, data quality and robustness;\n, • Build critical data quality checks to ensure that the data we process and provide to partner teams meets security and compliance requirements;\n, • Participate in code and technical design reviews;\n, • Scope and plan work together with product engineering, data science and the business; support other teams for all tasks related to data tracking, collection, ingestion, quality monitoring and alerting.\n\n Minimum requirements: \n\n • 3+ years of experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt;\n, • Working knowledge of Python, SQL and shell scripting;\n, • Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt or similar;\n, • 3+ years of significant professional experience developing applications written in a modern programming environment - preferably Scala/Java and/or Python;\n, • Professional experience across the entire software development life cycle, from gathering requirements to production deployment using CI & CD;\n, • Confident at articulating complex technical content to peers and partners across the organization via Technical Design Documents.\n\n Benefits \n\n • Hybrid working\n, • Great location with fantastic offices\n, • Award winning work environment\n\n

Lead Data Engineer (Permanent, London on-site) \n A high-growth AI software company is looking for a Lead Data Engineer to own and scale the data foundations behind an AI-driven operations platform used by property teams. This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. \n What you'll do \n\n • Architect and build scalable data pipelines and distributed data systems\n, • Design ingestion, transformation and storage patterns for operational and AI workloads\n, • Deliver batch and real-time/streaming pipelines\n, • Build and optimise vector search and retrieval pipelines that support AI features\n, • Implement monitoring, observability and data quality frameworks\n, • Drive security, reliability and governance across the data layer\n, • Partner closely with backend and AI engineers to support training, inference and product delivery\n, • Influence technical direction and help shape the future data team as the company scales\n\n What we're looking for \n\n • Demonstrable experience in data engineering or backend engineering with proven architecture ownership\n, • Good level of Python engineering skills\n, • Strong relational database experience (PostgreSQL preferred) including performance and query optimisation\n, • Exposure to NoSQL systems\n, • Comfortable building from scratch in a fast-moving, product-led environment\n, • Experience with vector databases and vector search in modern AI systems\n, • Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures\n, • Cloud experience (AWS, GCP or Azure) is a plus\n\n Why join \n\n • High impact and ownership as an early senior hire\n, • Work with a strong engineering team on real AI product challenges\n, • Competitive salary\n\n If you are an experienced Data Engineer seeking a challenging opportunity to lead and innovate within a transformative AI company, we encourage you to apply now and become a vital part of our client's mission. \n Unfortunately sponsorship is not available for this role.

AI & Machine Learning Engineer - Multiple Levels Available \n London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 \n Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. \n This is an opportunity to work on cutting-edge AI solutions, develop enterprise-scale machine learning applications and collaborate with highly skilled technical professionals delivering innovative outcomes for a range of organisations. \n Whether you're looking to deepen your technical expertise or take on greater ownership and leadership responsibilities, this role offers exceptional development opportunities and clear career progression. \n You Will Work With \n\n • Building and deploying AI and Machine Learning solutions\n, • Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation\n, • Developing scalable ML pipelines and engineering frameworks\n, • AI model training, evaluation, optimisation and deployment\n, • Cloud-native AI and data platforms across Azure, AWS and GCP\n, • MLOps tools and best practices for deployment, monitoring and governance\n, • Structured and unstructured datasets\n, • Generative AI and advanced analytics solutions\n, • Designing and maintaining scalable data pipelines, datasets and workflows\n, • Collaborating directly with client stakeholders to understand business challenges and translate requirements into AI solutions\n, • Working closely with technical and non-technical teams throughout programme delivery\n, • Cross-functional engineering, architecture and data teams\n, • Agile software development and delivery methodologies\n, • Exploring and adopting emerging AI technologies and approaches to drive innovation and business value\n\n Benefits \n\n • Salary up to £75,000\n, • Hybrid and flexible working arrangements\n, • Access to cutting-edge AI projects\n, • Professional certifications and ongoing training\n, • Structured career progression opportunities\n, • Exposure to modern technologies and large-scale programmes\n, • Supportive and collaborative culture\n, • Opportunity to work across a variety of industries\n, • Competitive benefits package\n\n Key Experience \n\n • Experience building and deploying AI or Machine Learning solutions in a commercial environment\n, • Strong Python and SQL skills\n, • Experience using TensorFlow, PyTorch, Scikit-learn or similar frameworks\n, • Strong understanding of machine learning algorithms, deep learning architectures and model deployment practices\n, • Experience with Azure, AWS or GCP cloud environments\n, • Knowledge of data engineering principles including ETL processes, data pipelines and automated workflows\n, • Experience working with structured and unstructured data\n, • Understanding of MLOps tooling and best practices\n, • Knowledge of data governance, security and compliance principles within AI and data environments\n, • Strong analytical and problem-solving ability\n, • Experience working within Agile delivery environments\n, • Ability to work closely with stakeholders and translate business requirements into effective AI solutions\n\n Desirable \n\n • Generative AI experience\n, • Large Language Models (LLMs)\n, • LangChain or similar frameworks\n, • Spark, Hadoop or other big data technologies\n, • Experience with distributed computing, streaming platforms or workflow orchestration tools\n, • Experience monitoring and optimising model performance in production environments\n\n Apply Now \n If you want to work at the forefront of AI innovation and contribute to impactful projects that solve real business problems, we'd love to hear from you. \n This is an excellent opportunity to join a growing team delivering innovative AI solutions while developing your technical expertise and career within a highly collaborative environment. \n Apply now or send your CV directly. Shortlisting is underway and applications are being reviewed immediately.

Integration Architect - Kafka \n \n Rate: £600 per day (Outside IR35)Duration: 6-month contractLocation: London - 4 days per week onsite \n \n Overview: \n I'm currently supporting a client on a major transformation programme who are looking to appoint a highly experienced Integration Architect to define and lead their enterprise integration strategy. \n This is a hands-on technical architecture position where you'll be responsible for shaping the future integration landscape, establishing architectural standards and building a modern event-driven ecosystem. You'll work closely with engineering leadership to create an integration capability centred around Kafka, microservices, cloud native technologies and API-first principles, whilst helping to build and mentor a high performing integration engineering team. \n \n Responsibilities \n\n • Define and own the enterprise integration strategy across multiple business domains.\n, • Design a scalable, event-driven architecture using Kafka as the core messaging platform.\n, • Establish best practice integration patterns, architectural standards and governance.\n, • Build and help scale a modern integration engineering capability, providing technical leadership and mentoring.\n, • Design resilient, loosely coupled microservices architectures following domain driven design principles.\n, • Lead architecture across APIs, messaging, streaming and asynchronous communication.\n, • Drive the adoption of API-first and event-first development practices.\n, • Produce high-quality architecture artefacts including target-state architectures, roadmaps, integration blueprints and technical standards.\n, • Work closely with engineering teams to ensure architecture is delivered in line with strategic objectives.\n, • Collaborate with senior stakeholders to align business goals with technical delivery.\n, • Champion modern engineering practices including automation, CI/CD and cloud native development.\n\n Essential Skills \n\n • Proven experience creating and delivering enterprise integration strategies.\n, • Extensive experience designing event-driven architectures.\n, • Strong commercial experience with Kafka and event streaming platforms.\n, • Deep understanding of microservices architecture and distributed systems.\n, • API-first architecture using REST and asynchronous messaging patterns.\n, • Strong Java and Spring Boot background.\n, • Experience designing cloud-native integration platforms on AWS.\n, • Strong understanding of messaging patterns, event sourcing and eventual consistency.\n, • Experience establishing architectural governance and integration standards.\n, • Excellent stakeholder management and technical leadership skills.\n\n Desirable Skills \n\n • Kubernetes (EKS) and container platforms\n, • AWS services including API Gateway, SNS, SQS and EventBridge\n, • DevOps and CI/CD pipelines\n, • Integration observability and monitoring\n, • Financial Services experience ideally (Payments, FX or Banking)\n\n Experience Required \n\n • 10+ years in solution or integration architecture.\n, • Experience building enterprise integration capabilities from both a technical and strategic perspective.\n, • Proven track record delivering large-scale event-driven platforms using Kafka.\n, • Experience leading architecture across multiple engineering teams.\n, • Strong background in cloud-native software engineering and distributed systems.\n, • Comfortable operating as both a strategic architect and a hands-on technical leader.\n\n \n Reasonable Adjustments: \n Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. \n If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

\n We're seeking an experienced Senior Data Engineer to join a leading global organisation on a contract basis, helping to design and deliver scalable, enterprise-grade data solutions. \n This role will focus on building and optimising modern data platforms using Python, Databricks and Spark, enabling advanced analytics, reporting and data-driven innovation across the business. \n \n \n Client Details \n \n Our client is a leading international financial institution with a long-established presence across major global markets. Serving a diverse client base that includes corporates, financial institutions and investors, the organisation delivers a broad range of banking, financing and capital markets services. \n With significant investment in digital transformation and data-led innovation, the organisation is modernising its technology estate and expanding its enterprise data capabilities. Data plays a critical role in supporting business operations, regulatory obligations, analytics and strategic decision-making, making this an exciting opportunity to contribute to large-scale, business-critical data initiatives within a complex global environment. \n \n \n Description \n \n\n • Design, build and maintain scalable data pipelines using Python and Databricks\n, • Develop and optimise ETL/ELT processes leveraging Spark and Delta Lake\n, • Create robust data models and data architectures within modern Lakehouse environments\n, • Implement and manage data workflows across the Databricks ecosystem\n, • Ensure data quality, governance, reliability and performance across platforms\n, • Optimise distributed data processing workloads at scale\n, • Collaborate closely with data scientists, analysts and stakeholders to support analytics and machine learning initiatives\n, • Implement monitoring, logging and alerting capabilities across data solutions\n, • Champion engineering best practices and mentor less experienced team members\n\n \n Profile \n \n You will bring: \n\n • 10+ years' experience in Data Engineering\n, • Experience delivering data engineering solutions within Banking, Financial Services, Capital Markets, Insurance, or other highly regulated enterprise environments.\n, • Strong hands-on expertise in Python\n, • Proven experience with Databricks, including notebooks, workflows, jobs and Delta Lake\n, • Strong knowledge of Apache Spark / PySpark\n, • Experience designing and delivering large-scale ETL/ELT pipelines\n, • Advanced SQL skills and experience with relational databases\n, • Experience working with cloud technologies such as AWS, Azure or GCP\n, • Knowledge of modern data warehousing platforms such as Snowflake, Redshift or BigQuery\n, • Understanding of data modelling principles and Lakehouse architecture\n, • Excellent communication, stakeholder management and problem-solving skills\n\n Desirable experience includes: \n\n • Databricks certifications\n, • Streaming technologies such as Kafka or Structured Streaming\n, • CI/CD and DevOps practices\n, • Docker and Kubernetes\n, • Exposure to machine learning pipelines\n\n \n Job Offer \n \n\n • Competitive day rate of £550-£880 Inside IR35 (Umbrella)\n, • Initial 6-month contract\n, • Hybrid working model with flexibility\n, • Opportunity to work on cutting-edge data engineering projects\n, • Exposure to modern cloud and data technologies\n, • Collaborative and high-performing engineering environment\n, • Chance to make a tangible impact on enterprise-scale data transformation initiatives\n\n

Solution Architect - B2B Payments Transformation\n Contract: 6 monthsRate: £550-£575 per day (Outside IR35)Location: London, Hybrid \n An experienced Solution Architect is required to lead end-to-end architecture for a large-scale B2B banking RTL and Payments Transformation programme within a complex financial services environment. This role will own solution design across multiple workstreams, ensuring a cohesive, scalable and resilient architecture aligned to regulatory, operational and commercial requirements. \n The programme spans core B2B banking capabilities, including payments, reconciliation, KYC, cash management, monitoring and billing. You will play a central role in shaping an event-driven architecture, working closely with senior stakeholders, peer architects and offshore delivery teams, while providing strong architecture governance and design assurance. \n Key Responsibilities \n\n • Own solution architecture and high-level design across multiple workstreams\n, • Define and govern event-driven architecture patterns including streaming and asynchronous integration\n, • Manage cross-domain dependencies and complex integrations across B2B banking platforms\n, • Lead architecture governance, design approvals and technical decision-making\n, • Ensure non-functional requirements are met, including scalability, resilience, security and compliance\n, • Facilitate design workshops and maintain the solution architecture roadmap\n, • Collaborate effectively with onshore and offshore teams\n\n Required Experience \n\n • Strong background in Solution Architecture with extensive HLD ownership\n, • Hands-on experience designing event-driven architectures (Kafka, streaming, async patterns)\n, • Solid understanding of microservices, APIs and cloud platforms (AWS and/or Azure)\n, • Proven experience within B2B banking and payments, including SEPA, SWIFT, Faster Payments and ISO 20022\n, • Track record of delivering architecture on large-scale banking transformation programmes\n, • Experience operating in complex, multi-vendor and offshore delivery environments\n\n Desirable \n\n • TOGAF or equivalent architecture governance experience\n, • Exposure to CRM platforms, billing and monitoring systems\n, • Strong stakeholder management and workshop facilitation skills\n\n This is a high-impact contract role suited to an architect who enjoys shaping complex B2B banking and payments transformations and operating at both strategic and hands-on design level. \n \n Reasonable Adjustments: \n Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. \n If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

\n By applying to this position you will have an opportunity to select your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK. Qualifications\n \n • Bachelor's degree or equivalent practical experience.\n, • 7 years of experience in data architecture, data engineering, or a related field.\n, • 5 years of experience working with data platforms and technologies.\n, • Experience designing and implementing data solutions for enterprise customers with hybrid and multi‑cloud in the financial markets industry.\n, • Experience with data modeling and graph databases (e.g., RDF, property graphs, or graph databases).\n Preferred qualifications\n \n, • Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).\n, • Experience designing and implementing data governance, security, and compliance in a highly regulated environment.\n, • Experience contributing to open‑source data projects.\n, • Familiarity with machine learning and AI concepts and their application in data management and analysis.\n, • Knowledge of emerging agentic technologies and their implications for data architecture.\n Responsibilities\n \n, • Act as a primary technical point of contact for a large, complex financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects).\n, • Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239).\n, • Develop and advocate strategies for federating data responsibility across different business units and technical teams, enabling decentralized data ownership while maintaining centralized oversight and consistency.\n, • Design and implement data capabilities that seamlessly span across on‑premise environments and multiple cloud providers, ensuring data portability, interoperability, and consistent access.\n, • Identify and address data requirements for emerging agentic technologies, such as real‑time data streaming, vector databases, and secure data sharing for autonomous agents.\n Salary & Benefits\n Germany: €148,000 – €152,000 (EUR) + 20% bonus target + equity + benefits. \n Individual pay is determined by factors including job‑related skills, experience, and relevant education or training. Employment Requirements & Language\n English proficiency is a requirement for all roles unless stated otherwise. EEO Statement\n Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. \n #J-18808-Ljbffr

Data Engineering Manager (hands on) - ManchesterI'm working with a hypergrowth business in Manchester who are looking for a Data Engineering Manager. They have new PE investment behind them and a major transformation project is underway.This is a hands-on leadership role sitting at the centre of a significant data platform transformation. You will be running the data engineering squad, responsible for delivering the data infrastructure, pipelines, and reporting capabilities the wider business depends on.They are moving away from traditional batch processing toward a real-time, event-driven architecture and you will be leading that technical journey while keeping everything running reliably in the meantime. It is not a steady-state role there is a real mandate for change, proper investment to back it up, and a new Data Director coming in who wants to build something impressive.What's in it for you?£88,000Hybrid working, 3 days per week in Manchester City Centre27 days holiday plus bank holidays, your birthday off,Enhanced parental leaveIncome protection for up to 5 years, life assurance at 3x salary, health cash plan, virtual GP and therapy accessGym discounts, cycle to work, free food and a Friday bar + much more.A genuine leadership seat at the table during a period of real transformationThe chance to modernise a data platform from the ground up, event streaming, cloud-native, AI-readyNewly centralised data function with a clear path upward as it growsMust have:Cloud data engineering on AWS – this is non-negotiablePeople management and team leadership experienceStrong SQL and T-SQLETL/ELT pipelines, SSIS, Matillion or similarData visualisationInfrastructure as Code awareness, Terraform or similarStakeholder managementNice to have:Real-time and event-driven data platform experienceLakehouse or cloud-native data platform architecture experienceData lakes, object storage, and large-scale analytical processingML or advanced analytics exposureAWS security, networking and access controlGDPR and data governance awarenessDay to Day:Leading and developing your data engineering squad performance conversations, career development, day-to-day supportGetting hands-on across pipelines, cloud infrastructure, transformation layers, and reportingDriving the migration toward real-time, event-driven data processingKeeping existing SQL Server environments stable and performant while the modern platform is built outWorking closely with stakeholders across the business to understand requirements and deliver solutionsEmbedding good engineering practices CI/CD, IaC, Agile where they are not already in placeMentoring colleagues and helping to grow capability across the teamWhy it's a good time to join them?The data, analytics and insights functions previously operated separately are being brought together for the first time under a single Data Director. That means you would be joining at the moment the foundation is being laid, not after the decisions have already been made.There is a signed-off transformation programme, a technical roadmap that includes real-time streaming, AI-readiness and a move toward a modern cloud platform, and senior leadership that genuinely values data.APPLY NOW with your CV or emailPlease note the role cannot offer sponsorship and is not suitable for those on short term visasAs an industry leading, nationwide Marketing, Digital, Analytics, IT and Design recruitment agency, we are continually receiving new assignments to work on, so keep a close eye on our website, Facebook, LinkedIn and Twitter pages for a full list of current permanent and interim opportunities as well as marketplace news and fun stuff.Forward Role is operating as an employment agency.TPBN1_UKTJ

SC cleared Data Architect (AWS) - Public SectorDuration: 6 monthsStart Date: FlexibleRate: £550 - £700 (depending on SFIA level)Location: London or Manchester (hybrid)Clearance: SCOverviewWe're looking for a Data Architect to design secure, scalable AWS data platforms that support public sector transformation and data-driven decision making.Key ResponsibilitiesDesign end-to-end data architectures on AWS (data lakes, warehouses, streaming)Define data models, standards, and governance frameworksEnsure compliance with data security and regulatory requirements (e.g., GDPR)Lead data platform modernisation and migration initiativesCollaborate with stakeholders to translate business needs into data solutionsDrive best practices in data quality, integration, and lifecycle managementKey SkillsStrong AWS data experience (e.g., S3, Redshift, Glue, Lake Formation, Athena)Proven experience in public sector or regulated environmentsData modelling (conceptual, logical, physical) expertiseKnowledge of data governance, security, and complianceExperience with ETL/ELT, APIs, and data integration toolsNice to HaveAWS certifications (e.g., Data Analytics Specialty, Solutions Architect)Experience with big data, streaming (Kafka/Kinesis), or AI/ML workloadsReasonable Adjustments:Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.TPBN1_UKTJ

Build, test and deploy cloud infrastructure and applications using CI/CD and Infrastructure-as-CodeContribute to custom test automation frameworksMaintain and update scripts as requirements evolveSupport environment setup for manual and automated testingInvestigate and resolve production incidentsConduct gap analysis and scope modificationsSupport contingency planning, including backup/restore proceduresDocument changes to modules and test activitiesMentor and lead the team on deliveryExperience & Skills Required6+ years delivering production-grade cloud solutionsDevSecOps and Zero Trust Architecture experienceCommercial experience deploying/operating infrastructure and applications on AWS and other public/private (hybrid) cloud environmentsGitHub/GitLab/Atlassian Suite for source control and code reviewCI/CD and IaC tooling (e.g. Terraform, Ansible)Test Driven Development with relevant tools/frameworksContainerisation and orchestration (Kubernetes, Docker, ECS/EKS, AKS)Knowledge of event streaming technologies (Kafka, Flink)Reasonable Adjustments:Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.TPBN1_UKTJ

CONTRACT SENIOR AD OPS LEAD - OUTSIDE IR35Senior Ad Ops Consultant with strong CTV / OTT, Publica, SSAI, video SSP and direct campaign trafficking experience required for a 3-month contract.Fully RemoteOutside IR35£400 - £450 per day3-month contractCTV / OTT, Publica, SSAI, VAST, SSPs, Yield, Ad OpsABOUT THE ROLEWe are working with a growing cultural media platform in the automotive and content space that is looking for a Senior Ad Ops Consultant to help architect and optimise its advertising operations setup for scale.This is a hands-on delivery role, not an advisory position. You will be responsible for auditing the existing ad operations environment, implementing improvements, expanding and rationalising the demand stack, building trafficking and QA workflows, creating reporting processes, and documenting everything ready for a future in-house hire to take over.WHAT YOU WILL BE DOINGYou will be auditing and optimising the current Publica setup, including ad pod logic, timeout configuration, prebid setup and server-side bidding.You will identify and implement improvements across fill rate, eCPM and the overall ad experience.You will assess current and prospective SSP partners, manage bid duplication and design a cleaner demand path.You will lead the onboarding of new demand partners where required.You will set up direct campaign trafficking workflows covering VAST tag handling, third-party verification, pacing and creative QA.You will build reporting processes covering revenue, fill, eCPM by inventory segment and partner performance.You will create discrepancy and troubleshooting playbooks for delivery issues, partner discrepancies and engineering escalations.You will document processes, support the FTE hiring process and ensure a clear handover at the end of the engagement.WE NEED YOU TO HAVESeveral years of experience in CTV / OTT ad operations, ideally within a publisher environment.Direct, hands-on Publica experience.Strong working knowledge of SSAI mechanics.Experience with major video SSPs such as Magnite Streaming, Index Exchange, PubMatic, OpenX and Equativ.Direct campaign trafficking experience including VAST / VPAID, third-party tags, IAB taxonomies and verification vendors.A proven track record of standing up ad operations processes from scratch.Strong knowledge of EMEA privacy frameworks including TCF v2.2 and IAB EU.TO BE CONSIDEREDPlease either apply through this advert or email me directly via . For further information, please call me on 01244 567 937KEY SKILLSCTV / OTT, Ad Ops, Publica, SSAI, VAST, VPAID, SSP, Magnite Streaming, Index Exchange, PubMatic, OpenX, Equativ, Prebid, Server-Side Bidding, Yield Optimisation, eCPM, Fill Rate, Campaign Trafficking, Verification, TCF v2.2, IAB EUTPBN1_UKTJ

We are seeking a skilled Senior AV Technician to join the in-house events team at a prestigious London venue. This role is ideal for an experienced AV professional who enjoys working in a dynamic events environment, delivering exceptional live, hybrid and on-demand productions.Working across multiple event spaces, you'll take ownership of technical event delivery, operating and supporting a range of production technologies including vMix, PTZ camera systems, live streaming platforms and recording solutions. You'll also provide leadership within the team, helping to develop junior technicians and ensuring every event is executed to the highest standard.Key Responsibilities Event Production & Technical Support Configure, test and operate AV systems for a wide variety of events and client requirements. Deliver live, virtual and hybrid productions using vMix, streaming platforms and camera systems. Provide technical expertise and support to clients before and during events. Install, relocate and optimise AV equipment across multiple venue spaces. Ensure all event rooms are fully prepared, tested and operational ahead of event start times. Troubleshoot and resolve technical issues quickly and effectively in live environments. Equipment Management Maintain venue AV systems and associated equipment to ensure maximum reliability. Monitor and manage stock levels of accessories, cables, consumables and spare equipment. Arrange equipment servicing, repairs and replacement where required. Assist with evaluating and implementing new technologies and system improvements. Conduct routine inspections and preventative maintenance programmes. Team Support & Leadership Act as a senior point of contact within the technical team and support daily operations. Provide cover for the AV Manager when necessary. Allocate tasks and coordinate activities for technicians and freelance crew. Mentor and support junior team members, sharing technical knowledge and best practice. Foster strong working relationships with venue departments and event stakeholders. Compliance & Best Practice Adhere to all venue procedures, health & safety requirements and company policies. Complete operational documentation, reports and shift handovers accurately. Maintain clean, organised and professional technical workspaces at all times. Promote high standards of service delivery and customer experience throughout the venue. Skills & Experience Required Demonstrable experience delivering live, hybrid and streamed events. Strong knowledge of vMix, streaming technologies and PTZ camera systems. Experience with BirdDog PTZ cameras would be advantageous. Excellent fault-finding and problem-solving skills within live event environments. Ability to work independently whilst supporting and leading others. Professional, organised and customer-focused approach. The OpportunityThis position offers the chance to become a key member of a highly regarded venue operation, working on a diverse range of corporate and live events. You'll have the opportunity to take on greater responsibility, contribute to technical development within the venue and play a vital role in delivering outstanding event experiences.TPBN1_UKTJ

Software Engineer - Secure Cloud & Data PlatformsThe RoleAs a Software Engineer, you will play a key role in developing backend platforms and services using modern commercial and open-source technologies across both private and public cloud environments.Working within an Agile, cross-functional team, you will contribute to impactful projects that solve complex real-world challenges. This role offers the opportunity to work on both short and long-term programmes in a highly collaborative environment.Key ResponsibilitiesDesign, develop, document, deploy and enhance platform features in line with functional and non-functional requirementsContribute to the elaboration and estimation of user stories within the teamDeliver frequent, incremental releases to maintain delivery momentumCollaborate closely with cross-functional engineering teams, ensuring shared ownership and coverageBuild, optimise and maintain continuous deployment pipelinesTake operational responsibility for services owned by your teamSkills and ExperienceMinimum of 5 years' experience delivering production-grade cloud solutionsStrong proficiency in Java and experience with JVM-based languages such as Kotlin or ScalaExperience working with Kafka or similar streaming platformsBackground in Agile DevSecOps environments and Zero Trust architectureExperience integrating with backend services such as PostgreSQL, Redis or object storage solutionsStrong engineering fundamentals including clean code, automated testing, continuous delivery and code reviewsExperience using version control and collaboration tools such as Git-based platformsProven experience with test-driven development practicesUnderstanding of microservices architecture and design patternsExposure to big data technologiesEnvironment and BenefitsOpportunity to work on high-impact, mission-critical projects within a secure and regulated domainCollaborative Agile teams focused on innovation and continuous improvementSupport in obtaining advanced security clearance, with the opportunity to contribute to sensitive projectsInclusive and supportive culture recognised for putting people firstThis is an excellent opportunity for an experienced engineer looking to work on cutting-edge cloud and data platforms while contributing to meaningful, real-world outcomes. If you are interested please apply online.Reasonable Adjustments:Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.TPBN1_UKTJ

Provide pre-sales support for our rapidly-growing sales team. You will be responsible for helping develop solutions for identified prospects, helping the marketing team with technical content and insight (blog posts, articles, etc), and being a technical resource for the sales organisation as a whole. • Pre-Sales Responsibilities, • Partner with Account Executives to drive complex, multi stakeholder deals, • Provide technical expertise on Cloudinary’s product offering, consult to prescribe solutions design and determine solution fit, • Adapt Cloudinary’s technology to meet customer’s business case (Demo, POC, documentation), • Create relationships with key decision makers and serve as external technical spokesperson. Be the trusted advisor and provide world class customer service while serving as the technical spokesperson for Cloudinary, • Collaborate cross functionally with Product, Marketing, and Sales to identify compelling Cloudinary use cases, influence product roadmap and technical content and best practices., • Post-Sales Responsibilities, • Work with the Account Management team to ensure handoff is executed smoothly as prospect transitions into a customer., • Must be Fluent in German, • At least 5 years experience in Presales as a customer-facing technical role, • Experience with Digital Asset Management, Video Streaming strategies or Website Performance Optimization., • Principle knowledge of website construction, including HTML, JavaScript and CSS, understanding of OS and browser distinctions and how third-party software and plugins work with browsers, website troubleshooting and use of browser developer tools., • Familiarity with network infrastructure - CDN, Cloud Storage, Cloud Applications, APIs and how it all fits together., • Experience with Martech and Adtech is a plus., • Ability to manage multiple competing priorities, and work effectively under the pressure of time constraints in a fast-paced, collaborative environment., • Bachelor’s degree, or equivalent, in related discipline. Science or Engineering degree preferred., • Ability to travel occasionally up to 20% (as required).#LI-BP1

As a Senior Data Engineer in our new Central Data Engineering team in the Platform Mission, you will be leading work that is mission-wide in terms of scope. Our new Central Data Engineering team will inform data quality standards, access standards, create templatised solutions, assist in managing mission-level datasets/dashboards, and prepare our mission’s data for the AI Future that expected to impact every squad and product area. As the Senior engineer on the team, you will deal with bringing structure to ambiguity and be the bridge between business goals and translating them to technical deliverables. • Build large-scale data pipelines using frameworks like Google Cloud Platform and Apache Beam., • Work on projects powering new generative AI experiences and helping to build models., • Learn and contribute to the team's best practices and techniques for building data pipelines for large-scale models, including cleaning, filtering, classifying, and labeling., • Collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities that arise., • Deliver scalable, testable, maintainable, and high-quality code., • Share knowledge, promote standard methodologies, and improve the team through mentorship and constructive accountability., • You have Data Engineering experience and know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS., • You have experience building clean, high-quality datasets for training large-scale models., • You have experience with one or more higher-level Python or Java-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, etc., • You have strong Python programming abilities. You might have worked with Docker as well as Luigi, Airflow, or similar tools., • You care about quality and know what it means to ship high-quality code., • You have experience managing data retention policies., • You care about agile software processes, data-driven development, reliability, and responsible experimentation., • You understand the value of collaboration and partnership within teams., • This role is based in London, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

We are looking for a dedicated, engaged software engineer that is passionate about working on highly available, low latency client SDKs and the related backend services in the authentication and session management domains. These form the backbone of our product experience for hundreds of millions of users worldwide. You’ll be directly helping with the evolution of Spotify’s overall authentication and session management infrastructure. • Be part of an autonomous and cross functional team of Mobile and Backend Engineers along with members from Product, Design and Insights to identify and tackle important problems in the Authentication and Session Management domains., • Build highly scalable backend services and SDKs that bring the happiness of music to millions of users., • Write clean and maintainable code that will scale across a number of projects and distributed development teams, • Share knowledge, promote best practices, and collaborate with some of the best engineers in the company, • Improve developer experience, the team is driven by a strong focus on clean APIs and engineering efficiency, • You are an expert in either C++ OR Java., • It’s a bonus if you have some experience with both., • You have experience with strong testing practices, A/B testing or CI/CD, • You are familiar with the Authentication domain and understanding of authentication protocols like OAuth, • You are familiar with cryptographic techniques and security best practices., • Experience in iOS (Objective C / Swift) or Android (Kotlin) development is a plus., • This role is based in London, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

Are you an engineer who enjoys building reliable systems and intuitive user experiences? Join Spotify’s Commerce Platform and help shape the Checkout experience for millions of users worldwide. You’ll contribute across the stack, grow your technical depth, and work on systems that directly support how users manage their relationship with Spotify. You’ll be part of the Checkout Domain, where we build and scale the purchase experience, from the moment a user selects an offer to what happens after they complete a transaction. Our teams work on services and surfaces that support billing, account updates, and post-purchase interactions that focus on building trust and retention. The work spans APIs, backend services, and user-facing components across web and mobile. This is a great opportunity to join a collaborative, product-focused team working in a space with real user impact and cross-functional reach. • Design, build and maintain scalable backend services (Java/Python) and be active in shaping our data pipelines that power Spotify’s internal Commerce platform, • Develop and enhance our user-facing layer and frontend SDKs (React/Typescript), • Be an active part of creating and evolving APIs and services that connect user experiences with internal Commerce capabilities, taking into account Product requirements, • Drive improvements to system architecture, performance, and developer experience, • Collaborate closely with a talented group of engineers, product managers, designers and data specialists across multiple teams, • Contribute to technical discussions and help shape platform decisions, • You have experience building and maintaining backend services (Java and/or Python) in large-scale, modern cloud environments (we use GCP), • You’re confident working across the stack, from building scalable APIs to developing intuitive, high-performing, modern frontend applications (React/TypeScript preferred), • You have experience in system design and service-to-service integration, • You bring an open and pragmatic mindset to solving complex problems, while actively connecting the dots across technical, product, and business to inform your approach, • You care about code quality, testability, and developer experience, • You communicate clearly, take initiative on projects and collaborate effectively in cross-functional settings, • Having experience in commerce or payments systems is a plus, • This role is based in London (UK), • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home, • We ask that you come in three times per weekSpotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Role: Linux DevOps Engineer Salary: £75,000 WFH: Fully Remote (must be able to travel to London data centres occasionally) Overview Our client is a leading audio streaming technology company, enabling global distribution and monetisation of live and on-demand content for major media networks, broadcasters, and government agencies. Delivering billions of listening hours annually, their intelligent infrastructure powers some of the most recognisable names in radio, podcasting, and live event broadcasting. They are now hiring a Linux DevOps Engineer to support a hybrid migration journey from on-premise data centres into AWS and to help maintain 24/7 streaming services at scale. Key Responsibilities • Support and maintain Linux-based infrastructure across two UK data centres, • Assist in migrating applications and services into a hybrid cloud environment (AWS), • Use Infrastructure as Code tools (Terraform, Ansible) to manage environments, • Help automate deployment pipelines and ensure system observability, • Act as escalation point for infrastructure-related support tickets, • Collaborate with engineering and customer success teams to support streaming platform uptime Ideal Candidate • Strong Linux systems engineering and troubleshooting experience, • Confident with IAC tools like Terraform and Ansible, • Understanding of hybrid environments (on-prem + AWS cloud), • Previous exposure to live production, broadcast, or 24/7 service environments, • Comfortable with occasional out-of-hours maintenance and data centre access, • Driving licence required due to physical server access needs, • Proactive, flexible and calm under pressure Tech Stack / Tools • Linux, • Terraform, • Ansible, • AWS (Hybrid migration underway), • Monitoring & observability tooling Benefits • £75,000 base salary, • Time off in lieu for any out-of-hours work, • 25 days holiday, • Fully remote working (must be within travel distance to London), • Dynamic and varied role in a high-performance media infrastructure team, • Opportunity for international travel (e.g., Poland sites), • Involvement in high-scale broadcast and streaming environments Interview Process • Culture & Intro - with Managing Director, • Technical Interview - with Head of Infrastructure, • Final In-Person - with key team members

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You’ll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and developing robust, scalable ML models that power real-time and batch decisions. If you're excited by adversarial modelling, anomaly detection, and building systems that defend one of the world's leading streaming platforms, we'd love to hear from you. • Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development, • Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud, • Prototype new approaches and productionise solutions, • Help drive optimisation, testing, and tooling to improve quality, • Be part of an active group of machine learning practitioners in your mission and across Spotify, • Conduct analyses to gain insights on fraudulent behaviours and trends, • Be responsible for monitoring the quality and performance of the squad's ML models, • You have a strong background in machine learning, theory, and practice, • You are comfortable explaining the intuition and assumptions behind ML concepts, • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch, • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS, • You care about agile software processes, data development, reliability, and focused experimentation, • You focus on delivering the simplest solution that drives business impact, • This role is based in Stockholm, Sweden or London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Data Software Engineer (Python PySpark) Remote UK to £95k Are you a data savvy Software Engineer with strong Python coding skills? You could be progressing your career in a senior, hands-on Data Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. As a Data Software Engineer within the Claims team you will help shape the architecture of data products, building reusable technology that enables teams to ingest, store, transform and serve their own data products. You'll take a lead in data transformation, setting up best practices in areas like Data modelling, performance optimisation and Data Governance to ensure that the data used within the business is consistent, available and reliable. You will be supported with continual learning and self development opportunities and will be encouraged to contribute to testing open source tools and engaging in community building activities such as meet-ups, keeping up to date with new and emerging technologies and methods. Location / WFH: You can work from home on a full time basis from anywhere in the UK or work a hybrid model from the London office depending on your location / preferences. About you: • You are degree educated in a relevant discipline, e.g. Computer Science, Mathematics, • You have a software engineering background with advanced Python and PySpark coding skills, • You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka, • You have experience of Big Data Analytics platform integration with AWS, • You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases, • You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC, • You have excellent communication skills What's in it for you: As a Data Software Engineer (Python Spark AWS) you will earn a competitive package: • Up to £95,000 salary, • Remote working including flexible working hours, • Workplace nursery scheme, • Enhanced maternity package, • 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day", • Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme, • Weekly Yoga and monthly Acupuncture sessions, Headspace membership, • Diverse, inclusive team environment with a range of support networks, • A range of other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Data Software Engineer (Python Spark AWS) opportunity. Ref: PR/100084/A/KS/100725

Dexerto is a leading global digital media company reaching over 100 million monthly fans across gaming, esports, streaming, entertainment, and internet culture. We operate at the intersection of content, creators, and brands — delivering premium editorial, video programming, live experiences, and commercial partnerships that shape the modern entertainment conversation. With a rapidly growing US footprint, talent access is central to our authority, programming, and revenue growth strategy. The Role: Dexerto is seeking a Senior Account Manager to own and lead the delivery and execution of content and media campaigns within our Integrated Marketing team. You'll be the strategic bridge between our clients and our creative production, ad operations, and talent teams—managing complex, multi-platform campaigns that span custom video productions, digital creative, social and media performance, and experiential activations. As a senior member of the customer success team, you'll own key client relationships, drive best practices across our operations, and work collaboratively with editorial, design, video, and business development teams to deliver campaigns that authentically connect brands with gaming, entertainment, and esports audiences. This role demands strong communication skills, meticulous attention to detail, commercial awareness, and the ability to build and nurture trusted relationships with our clients. Core Responsibilities: • Own & manage client relationships, serving as primary point of contact for campaign strategy and execution., • Monitor campaign performance metrics and provide clients with regular, insightful reporting and strategic recommendations., • Champion best practices across account management and contribute to process improvements and internal workflow optimization., • Lead end-to-end project lifecycle from kickoff through delivery, • Coordinate cross-departmental teams to ensure seamless campaign delivery; own production timelines across all workstreams)., • Ensure deliverables are on time, on budget, and on brief, • Proactively identify risks in campaigns and implement mitigation strategies., • Identify upsell and growth opportunities., • Own campaign budgets and track spend vs. forecast., • Brief & negotiate with external production partners and manage campaign budgets., • Stay current with industry trends, competitive landscape, and client business challenges to provide strategic counsel. Requirements: • 5+ years of account management experience at a creative agency, media company, or brand., • Demonstrated ability to manage multiple high-priority and complex projects simultaneously., • Experience with experiential marketing and live event coordination., • Strong understanding of gaming culture, esports, and digital content trends., • Experience negotiating contracts and managing substantial campaign budgets., • Strategic thinking with hands-on execution capabilities., • Excellent communication and stakeholder management skills., • Must be UK-based for remote working (flexibility for occasional travel). What We Offer: • Competitive salary commensurate with experience, • Fully remote working with flexible hours, • Opportunity to work with world-class brands, • Professional development and career progression opportunities, • Pension & Healthcare opportunities #li-remote

Junior .NET Developer - Online Film Rental Company - London (Tech stack: Junior .NET Developer, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, Junior .NET Developer) In just over 5 years our client has established themselves as the world's leading internet subscription service for enjoying films and TV programmes. They currently have over 15 million streaming members across the UK, Europe and North America and have plans to double in size over the next 12 months. We are seeking several Junior .NET Developer to work on several complex Greenfield .NET / C# software development projects which will be critical to the future success of the business. Junior .NET Developer candidates should have a sound understanding of object orientated (OO) development and a skill that that includes some of the following (full training will be provided to fill any gaps in your skill set): .NET 9, Web API 2, Entity Framework, Microservices, Azure, JavaScript, Angular 19, Bootstrap, Agile and Azure SQL. This is an excellent opportunity for a Junior .NET Developer to working within a challenging supportive environment. Top performers can expect to receive their first promotion (and pay rise) within 6 months. Our client offers a unique working environment including a free onsite organic restaurant, relaxation pods, games room, background music while you work and flexible working hours. Location: London, UK / Remote Working Salary: £25,000 - £35,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions!

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.