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Senior Data Engineer - Greater Manchester An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: • Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure)., • Source and verify data from multiple sources, ensuring it is ready for ingestion., • Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies., • Analyse large datasets using Python and SQL., • Set up new pipelines for data streaming, enrichment, and curation., • Manage and maintain source code repositories (GitHub)., • Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: • Strong proficiency in SQL and Python., • Experience in cloud data solutions (AWS, GCP, or Azure)., • Experience in AI/ML., • Experience with PySpark or equivalent., • Strong problem-solving and analytical skills., • Excellent attention to detail., • Ability to manage stakeholder relationships effectively., • Strong communication skills and a collaborative approach. Why Join Us? • Work with cutting-edge technologies in cloud data engineering and AI/ML., • Opportunity for career growth and professional development., • Be part of an innovative and forward-thinking data team. If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you. Interested? Please Click Apply Now! Senior Data Engineer - Greater Manchester

At Wordbank, we help global streaming brands reach and inspire users wherever they are in the world. We deliver locally impactful creative and marketing strategies that drive seamless UX and meaningful engagement. What sets us apart is our mindset: rooted in operational excellence, elevated by human creativity, and guided by our values as a certified B Corp. Whether you're with us for an ad-hoc project or a long-term collaboration, you are an integral part of what makes Wordbank thrive. THE ROLE Wordbank is seeking experienced, Spanish speaking, Graphic Designers for an ongoing project with a renowned international streaming service. This project focuses on localizing title image content for various global markets. As part of the team, you will be responsible for recreating English title images (logos) in your native language. While translations will be provided, your role will involve designing visually compelling and culturally appropriate localized titles and logos for TV shows and movies. We’re seeking designers who are able to create both 2D and 3D graphics from scratch based on detailed specs and a brief, who can provide consultation on what designs will work for the target market, and who are excited about working in a deadline-driven team environment in a virtual capacity. Designers need to have access to their own Photoshop and Illustrator, and 3D design software (Blender, Maya etc). We'll be managing the workflow through JIRA, our project tracking system, on which we can provide training. This is an ongoing freelance engagement, and if hired, we request that you are available to design at least 2 titles per week. The standard turnaround time for a title is 8 hours. We require a test as part of the evaluation process and will first need a signed NDA since the test includes client-specific information. This NDA is primarily for confidentiality purposes and does not require you to commit to the project. You retain all rights to withdraw your application at any time during the hiring process. REQUIREMENTS Language & Cultural Expertise Must be a native speaker of the target market's language: Spanish for Spain Strong understanding of cultural nuances and design preferences Experience adapting designs while ensuring cultural relevance and avoiding offensive imagery Graphic Design & Typography Minimum of 3 years of experience in graphic design and typography Expertise in handling different language scripts (e.g., CJK, Cyrillic, Arabic) and their layout challenges Awareness of text expansion/contraction and its impact on spacing and readability Familiarity with right-to-left (RTL) and vertical text layouts for languages such as Arabic, Hebrew, and Japanese Software Proficiency Required: Adobe Photoshop, Illustrator, After Effects and JIRA (access provided) An Internet connection with a minimum speed of 2 Mbps up and down (4 Mbps preferred) 3D Design & Typography Proficiency in 3D modeling and texturing using Blender, Maya, 3ds Max, or Cinema 4D Experience working with localized fonts and scripts in a 3D space Knowledge of rendering engines such as V-Ray, Arnold, Redshift, or Eevee Strong understanding of UV mapping and texturing workflows for localized title assets Ability to handle 3D file formats including FBX, OBJ, and GLTF Additional Skills Ability to adapt and redesign iconography to suit different cultural contexts Strong attention to detail in maintaining brand consistency across localized assets RATE We have a set flat rate of $105 offered per working title. PAYMENT We settle invoices via Wise at the end of month following the month of the invoice. We do not use payment methods like PayPal or Moneybookers. WHY WORDBANK? We're a marketing localization agency who helps brands scale global growth with innovative marketing, creative & tech solutions. Partnering with the world’s leading streaming and entertainment brands, we deliver custom solutions to their hardest problems. We operate with integrity, balancing people, planet, and profit, and we’re passionate about making a difference for our clients, our team, and our global community. We prioritize talent, autonomy, and impact to create a culture where people thrive and the company excels. Our Values in Action Drive: We are passionate and results-oriented. Connection: We build strong relationships and foster collaboration. Excellence: We strive for the highest standards in everything we do. Care: We value empathy and support for our team and clients. Creativity: We encourage innovation and out-of-the-box thinking. Equal Opportunity Employer We believe in equality, diversity and inclusion. We are committed to welcoming, respecting and valuing people for who they are. We are an equal opportunity employer committed to attracting, retaining, developing, and promoting the most qualified people of all backgrounds, regardless of race, colour, age, religion, gender identity, HIV status, marital status, past or recent military status, past incarceration, sexual orientation, national origin, citizenship status, ancestry or any other characteristic, including any physical (including pregnancy) or intellectual disability, and/or any other protected class under global, federal, state, or local law. If you seek accommodations during the recruitment process, please let us know in your application. Your application has been successfully submitted! _

At Simply.TV, we're redefining how the world experiences TV metadata. As a leading provider of advanced, AI-driven metadata solutions, we empower broadcasters, streaming platforms, and telecom operators to deliver smarter, more engaging content discovery experiences. From next-gen EPG (Electronic Program Guide) data to rich content enrichment, we enable our partners to stay ahead in a rapidly evolving media landscape. Headquartered in Copenhagen, and supported by 400+ of us worldwide, our data fuels user interfaces that are used by millions of viewers every day — and we’re just getting started. Whether you're passionate about media technology, data engineering, or customer success, Simply.TV is the place to shape the future of TV — and have fun doing it. Join us, and let’s make content discovery simple, powerful, and inspiring! As a Technical Account Manager, you’ll take ownership of a portfolio of key clients across the DACH region, acting as their primary technical expert and trusted advisor. From day one, you’ll lead seamless onboarding experiences, guide complex product integrations, drive adoption, and ensure smooth day-to-day operations. You’ll troubleshoot technical challenges, work closely with cross-functional teams across Europe, and run strategic check-ins to ensure clients extract maximum value from Simply.TV. This role is ideal for candidates with a strong engineering or technical background, capable of working confidently with software systems, APIs, and product integrations. You’ll rapidly develop a deep understanding of our platform, design practical solutions for clients, and guide them through technical implementations and ongoing optimization. Beyond client support, you’ll convert field insights into actionable improvements—translating technical requirements into product enhancements and collaborating closely with Product, Implementation, and Sales teams. You’ll also identify opportunities for growth through technical upselling and solution expansion. Your success will be measured by the technical value you deliver, your ability to solve client challenges, and the lasting impact you create on client operations—while continuing to build strong client relationships. You'll thrive in this role if you: • Serve as the primary technical and commercial contact for clients, guiding them through software integrations and platform usage., • Work autonomously across time zones, staying organized, proactive, and solution-oriented., • Help clients maximize the value of Simply.TV by identifying technical improvements, optimizations, and upsell opportunities., • Monitor client systems and operations, anticipate risks, and coordinate technical fixes with Product and Engineering teams., • Translate client technical requirements into actionable solutions, ensuring smooth implementation and adoption., • Maintain clear documentation of interactions, plans, and action items., • Stay up to date on product updates, technical trends, and media technology, anticipating client needs., • Demonstrate a passion for technology and media innovation, with a proactive, adaptable approach and a strong ability to learn quickly. You'll thrive in this role if you: • Hold a university degree in Engineering, Technology, Computer Science, or equivalent practical experience., • Bring 0–3 years of experience in client-facing technical roles, such as Technical Account Management, Customer Success Engineer, Solutions Engineer, or Sales Engineering, ideally in B2B SaaS or telecommunications., • Demonstrate the ability to analyze client needs, troubleshoot technical challenges, and translate requirements into actionable solutions., • Show a genuine passion for technology, media innovation, and problem-solving in fast-paced environments., • Exhibit proactive, hands-on learning and adaptability, with good communication skills for collaborating with clients and internal teams., • 🚀 Work at the forefront of media tech – Help shape how millions discover TV & streaming content., • 🤝 Be a trusted counterpart – Work directly with key clients to drive their technical success and satisfaction., • 🌍 Collaborate globally – Join a strong team across continents that thrives on innovation and teamwork., • 🎯 Make real impact – Your contribution ensures Simply.TV’s data and solutions empower millions of end users daily., • 📈 Grow and learn continuously – Gain exposure to advanced technologies, media systems, and client infrastructures., • Language(s): Both German and English (fluent), • Reports to: Head of Technical Account Management, • Employment Type: Freelancer, • Location: Madrid, Spain (preferred) OR Portugal, Germany, Austria, Poland, UK, • Type of Collaboration: Freelancer setup ( Fulltime-40hrs/week) Collaboration based on a freelancer set-up on a full-time allocation basis (40 hours per week).

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We’re building a team that resonates passion for learning, operating and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we’re always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We’re taking that foundation of success and bringing it to the digital space — ready to join us? What’s the position? We are looking for a Staff Backend Engineer - Sportsbook, to join our rapidly growing technology team, responsible for the continuous growth and support of our Sportsbook. This position will be able to come in an have a lot of ownership of the shape of the backend implementation. It is an exciting and rewarding opportunity. As a staff-level backend engineer, you will: Be a technical point of contact for various stakeholders Be technically talented, able to contribute quality code, and being passionate about the technology Be responsible for the quality, scope, and timeliness of all your deliverables Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. What are we looking for? We are looking for an engineer who is willing to tackle problems with innovative ideas and quality technical implementations. We believe the perfect candidate isn’t interested in just what we’re building right now, but wants to understand where we’re going and how it impacts the customer to ensure everything we create moves us closer to our goal: delivering the best customer experience. The ideal candidate will have: Min of 8+ years work experience Strong communication skills (both written and verbal) Extensive experience with Java and Spring / SpringBoot Extensive experience with reactive programming (Spring Reactive) A deep understanding of AWS Cloud technologies and how to create scalable multi-region applications Experience with the following technologies: o AWS Serverless and serverless-supported languages o DB (ex, Postgresql, CocroachDB) o Streaming technologies (Amazon Kinesis, Kafka) o Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working within an agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures Experience with Core Services around player journeys and experiences Nice to have experience with Sportsbetting, Trading Development and Casino software Nice to have knowledge around general trading rules and feed providers Nice to have knowledge with odds feeds such-as Radar, Genius, Swich, & Simplebet What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: Competitive pay and benefits Flexible vacation allowance Flexible work from home or office hours Startup culture backed by a secure, global brand Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us, and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer) Your application has been successfully submitted! _

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.

At Spotify, Financial Engineering is building the platform that powers Finance and enables strategic decision-making across the company. Our mission is to create trusted financial abstractions that make complexity manageable and insight actionable — supporting everything from premium and ads growth to forecasting, experimentation, and global reporting. As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify’s ambitions forward. We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions of records. You will apply product thinking to financial data — managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence. If you thrive on building foundations that have broad, lasting impact, and want to work where financial data truly drives strategy, we’d love to work with you. • Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers., • Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making., • Design, prototype, and build scalable data pipelines that process billions of data points reliably., • Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success., • Advocate for and implement effective data quality, engineering standards, and reusability., • Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products., • Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties., • Contribute to building tools and libraries that enable other teams to build financial data products at scale., • Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team., • Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark., • Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments., • Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform., • Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively., • Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities., • Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines., • Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them., • Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery., • Excellent Collaborator: You value positive relationships across technical and business domains., • This role is based in 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.

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.

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

Description We are seeking a driven and results-oriented Partnership Manager to play a pivotal role in building and managing strategic partnership across EMEA. This role offers an exciting opportunity to collaborate closely with Partners and develop model partnerships that showcase the strength and value of our combined offerings. You will be responsible for driving alignment across sales, marketing, and engineering teams to achieve ambitious sales targets and establish a successful partnership. The ideal candidate will excel in new partner acquisition, both through outbound sales activity and partner development, and will thrive in a fast-paced environment. We plan to hire someone for this position who permanently resides in EMEA. Key Responsibilities: 1. Partner Development and New Business Acquisition: • Facilitate communication and collaboration between Wowza and partner teams., • Lead outbound sales activities to identify and target new partners in the EMEA region, focusing on both strategic and regional opportunities., • Track and measure the success of Partnership initiatives., • Actively source, qualify, and close new partnerships to drive business growth, ensuring a robust pipeline of new partner accounts., • Lead onboarding and training processes for new partners. 1. Engagement and Collaboration: • Identify and qualify in-bound and outbound leads prioritizing new business opportunities with high-potential partners., • Collaborate with the Partner & Wowza Sales Team to organize reseller roadshows to present Wowza’s solution to prospects., • Collaborate with Sales Leadership and GTM teams for effective opportunity closure., • Establish productive relationships with marketing for regional partner marketing., • Maintain a working knowledge of Wowza’s products, services & competitive advantages. 1. Performance and Reporting: • Achieve or exceed monthly quotas and communicate forecast changes early., • Deliver growth targets for each partner., • Contribute to the enhancement of the Wowza partner program., • Provide credible forecasts and recommendations for partner relationships., • Maintain updated and accurate HubSpot Account Records for managed Partners. 1. Contract Management: • Negotiate standard contract elements and identify/escalate contract-related issues. 1. Strategic Alignment: • Work collaboratively with sales leadership to address key GTM Sales priorities., • Manage channel conflicts to positive outcomes., • Execute partner plans for revenue growth. 1. Additional Responsibilities: • Other duties as assigned. Special Conditions: • Quota-carrying role., • Travel required., • Primary regional responsibilities as assigned., • Flexible work hours, Partner time-zone dependent. Qualifications/Experience: • 3+ years of successful partnering sales experience., • Understands selling habits unique to specific regions., • Demonstrated ability to create and maintain relationships across all levels of a business, including C-Level, • Participate in channel strategy discussions for positive outcomes. Alert to issues or inhibitors for success. Bring potential resolutions to solve issues., • Ability to prioritize workload across multiple countries and time zones., • Proven track record in developing partners for software or technology sales., • Solid presentation skills and collaborative communication style., • Professional working proficiency of English required., • Skilled conflict resolution both internally and externally., • University degree. Benefits Benefits and compensation to be confirmed based on location. Compensation will include base salary and variable compensation plan based on incremental sales growth. Who We Are: Wowza Media Systems is a Colorado-based, globally-known leader in video streaming software solutions. Wowza’s software enables its customers to deliver high-fidelity video streams from any source to any destination, reliably at large scale and with low latency. Wowza’s solutions are implemented by tens of thousands of customers in more than 100 countries, across education, healthcare, enterprise, gaming, fitness, auction, e-commerce, and government applications. Founded nearly fifteen years ago, Wowza is backed by private equity firm Clearhaven Partners. Why Work for Wowza: Join a fast-paced, private equity-backed Colorado software company sitting at the intersection of mission critical video streaming applications. Wowza has long standing reputations for technical prowess and consistent innovation and has been a consistently growing company. In addition, Wowza’s team works to connect the larger community with our passion for tech. From live-streaming graduation ceremonies for local schools to helping parents monitor their children in the NICU, employees can cultivate the same creative energy that first brought the company to life. Our employees are encouraged to take ownership of their role and coworkers are happy to help one another along their video journey. We have a brand-new company headquarters office as well as remote employees across the US and around the globe.

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!

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.

We are seeking a Senior Research Engineer to join our Artist-First AI Music lab. Our team pioneers and advances state-of-the-art generative technologies for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections. For more information, see this press release! _ • Close Collaboration: Work side-by-side with research scientists to conduct ground breaking research in music generation (diffusion, flow matching, or autoregressive models), as well as related domains like ML-based audio processing, music information retrieval, machine learning, and signal processing., • Improve model training pipelines. You’ll debug distributed training, optimize data loading at massive scale, and ensure smooth scaling across compute environments., • Optimize performance. You’ll profile and accelerate existing training and inference code to make experiments faster and production systems more responsive., • Integrate models into production environments. You’ll work directly with platform and product teams to deploy models into the hands of hundreds of millions of Spotify’s users., • Incorporate state-of-the-art research. You'll translate models and techniques described in the literature into robust, well-engineered prototypes., • Maintain a high-quality codebase. You’ll enforce clear structure, consistency, and testing practices to support long-term maintainability on a codebase shared between members of a fast-paced globally distributed team., • Enhance researcher experience. You’ll build internal tooling, libraries, and workflows to make experimentation, debugging, and deployment more efficient for the whole team., • You have experience training or fine-tuning large machine learning models on GPUs using PyTorch or similar frameworks., • You have experience working with cloud platforms like Google Cloud Platform, AWS, or Microsoft Azure., • You understand how to debug problems in machine learning training code., • You communicate effectively with global teams and are ready to work both face-to-face and asynchronously with collaborators on multiple continents., • You have experience optimizing code for performance and can make GPUs “go brrr” (train at maximum efficiency)., • You learn new concepts and technologies quickly and keep up to date with the rapid pace of development in machine learning and AI., • You are resourceful and proactive; when faced with blockers, you seek out solutions through research, experimentation, and collaboration., • You’re not afraid to dig deep into the stack: working with lldb, NVIDIA Nsight, or other low-level debugging tools is a plus., • You have a solid grasp of computer science concepts like type systems, compilers, parallelism, thread safety, encapsulation, and the like., • You have an interest in learning more about audio processing and music information retrieval and you're excited about building amazing products that use these technologies., • We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have_, • This team operates within the Central European and GMT time zone for collaboration., • Core working hours are CET 3pm-6pm / EST 9am-12pm.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.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Location: Cheltenham, UK (Remote) Team: Product & Engineering Employment Type: Full-Time VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. We’re looking for a Senior Software Engineer to design, build, and scale the core systems that power VulnCheck’s vulnerability intelligence platform. This is a high-impact, hands-on role where you’ll own critical services and data pipelines end-to-end—from design through production. You’ll play a key role in shaping architecture, improving system performance and reliability, and delivering features that directly impact customers. While you’ll help resolve production issues, your focus will be on building durable, scalable solutions that prevent them. This is a 100% remote role but we're primarily looking for candidates based in Cheltenham, United Kingdom. What You’ll Do • Design and build scalable backend systems, APIs, and data pipelines, • Own services end-to-end, including architecture, development, deployment, and operation, • Lead technical design discussions and contribute to system architecture decisions, • Write high-quality, maintainable code and drive engineering best practices, • Debug complex production issues and implement long-term, scalable solutions, • Improve system performance, reliability, and observability across the platform, • Partner closely with Product, Data, and other Engineering teams to deliver impactful features, • Mentor junior engineers and contribute to a strong engineering culture, • Participate in incident response and on-call rotations What You’ll Bring • 5+ years of experience building and scaling backend systems as a software engineer, • Strong programming skills in one or more languages (Python, Go, Java, etc.), • Experience designing distributed systems and working with microservices architectures, • Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred), • Experience working with data pipelines, ETL systems, or high-volume data processing, • Proven ability to debug and optimize production systems, • Strong ownership mindset with the ability to lead projects independently, • Excellent communication skills and ability to collaborate cross-functionally Preferred Qualifications • Experience in cybersecurity, vulnerability management, or threat intelligence, • Familiarity with CVE, NVD, KEV, or exploit intelligence datasets, • Experience with streaming systems or real-time data processing, • Background in high-growth or startup environments We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: • Unlimited PTO, • 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation, • Comprehensive healthcare coverage, • Generous paid parental leave, • Remote friendly environment with flexibility, • Expense reimbursement for Cell Phone & Internet, • Ongoing professional development, coaching, and learning resources, • Opportunities for career advancement within a fast-growing team Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

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.

Who we are CreateFuture is fast becoming the UK’s most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country. We are a team of creators - whether that’s code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few. Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don’t just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low. Join us on our journey… Let’s create something awesome, together, today. About the role and team: We're looking for an experienced Senior Data Engineer to join our growing Data Practice, specialising in iGaming. You'll work as part of a multidisciplinary team delivering data solutions for some of the world's largest betting and gaming operators — organisations processing millions of events per day across sportsbook, casino, and exchange platforms. This is a role for someone who understands the pressures of the iGaming data landscape: sub-second odds feeds, high-stakes data integrity requirements, complex regulatory reporting, and large-scale platform migrations from legacy on-premises estates to cloud-native architectures on AWS. What you'll be doing • Deliver large-scale data migrations from on-premises or legacy platforms to cloud-native AWS architectures, including Lakehouse implementations using Databricks or Snowflake., • Design, build, and optimise low-latency data pipelines that process real-time betting events, odds updates, and market data at scale., • Implement robust data quality, validation, reconciliation, and audit controls across betting, trading, and customer data domains., • Develop streaming and micro-batch data solutions using AWS Kinesis, Apache Kafka, or Amazon MSK to support real-time sportsbook and in-play data feeds., • Build and maintain data solutions using AWS services including S3, Glue, Lambda, Athena, Redshift, Lake Formation, Step Functions, and MWAA., • Support regulatory and compliance reporting by ensuring data pipelines are reliable, traceable, and meet audit and lineage requirements for the UK Gambling Commission and other international regulators., • Collaborate with architects, platform engineers, and cross-functional teams to design scalable, resilient, and high-performing data platforms., • Champion engineering best practices through high-quality code, automated testing, documentation, and peer code reviews, while mentoring junior engineers where appropriate., • Contribute technical expertise during solution design sessions, architecture discussions, and client workshops, providing input into delivery approaches and technical decisions., • You've worked in or closely with sportsbook, exchange, or casino platforms — and understand the data models behind markets, selections, bets, and settlements, • You've built or maintained low-latency data feeds — odds ingestion, in-play event streams, price change feeds — where milliseconds matter, • You understand the data integrity challenges specific to betting: reconciliation between trading and settlement systems, detection of data drift, and auditability for regulatory purposes, • You've delivered or contributed to large-scale data migrations — moving high-volume transactional or event data from legacy estates to the cloud without losing fidelity or uptime, • AWS is your primary cloud — you're confident across Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, and Step Functions, • You've built real-time or near-real-time pipelines using streaming frameworks — Kinesis Data Streams, Kafka, Flink, or Spark Streaming, • You understand AWS cost models and how to optimise high-throughput workloads — Spot compute, reserved capacity, and right-sizing for event-driven architectures, • AWS certifications are a bonus, • Solid experience with Python, SQL, and Spark — and pipeline tools such as dbt or Airflow, • Comfortable with data quality frameworks and testing — Great Expectations, dbt tests, or custom validation layers, • Experience with infrastructure-as-code (Terraform, AWS CDK) is a plus, • Familiar with broader cloud platforms — Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) — is beneficial but not essential Primary cloud AWS — Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA Streaming AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming Languages Python, SQL, Spark Pipeline tools dbt, Airflow / AWS MWAA, AWS Glue Platforms Databricks, Snowflake, Amazon Redshift Data quality Great Expectations, dbt tests, custom reconciliation frameworks IaC / DevOps Terraform, AWS CDK (desirable) We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You’ll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do. We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed. We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look. We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process. It usually looks like this: • Call with our Talent Acquisition Team, • Role specific capability interview Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens. We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work. If you need any adjustments or support during the application process, just. We will do what we can to help. We look forward to your application!

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.

Dexerto is a leading global digital media company reaching over 100 million monthly fans across gaming, streaming, entertainment, and internet culture. We operate at the intersection of content, creators, and brands — delivering premium editorial, video programming, social content, live experiences, and commercial partnerships that shape modern entertainment culture. As Dexerto continues to scale globally across both audience and commercial operations, brand positioning, industry visibility, and strategic market presence are becoming increasingly important to the next stage of growth. The Role Dexerto is seeking a Marketing Manager (UK-based) to lead and elevate the company’s external brand presence across the media, advertising, gaming, entertainment, and creator economy industries. This is a highly strategic role for an experienced B2B marketer who understands how to position and grow a modern media brand within competitive commercial markets. We are looking for someone with a strong agency or media background — ideally someone who has previously been responsible for marketing an agency, publisher, media business, or public-facing brand. The successful candidate will own and drive Dexerto’s marketing strategy across brand positioning, industry awareness, PR opportunities, lead generation support, thought leadership, awards strategy, and market-facing communications. This role sits at the intersection of marketing, commercial, brand, audience insights, and business development. You will work closely with senior leadership and the commercial team to help strengthen Dexerto’s market position, increase visibility with brands and agencies, and support revenue growth through smarter positioning, strategic storytelling, and industry engagement. You will play a key role in identifying how Dexerto shows up externally — from industry narratives and whitepapers through to awards, PR opportunities, speaking opportunities, sales positioning, and broader market influence. This role requires someone who is equally comfortable operating strategically and executing high-impact initiatives. The ideal candidate will understand how to turn audience, platform, campaign, and industry data into compelling narratives that generate industry attention, commercial conversations, and meaningful business opportunities. You will also help shape how Dexerto leverages its senior leadership team externally — identifying opportunities to raise company profile, strengthen authority, and position Dexerto as a leading voice across gaming, entertainment, influencer culture, and digital media. Core Responsibilities Brand Strategy & Market Positioning • Develop and lead Dexerto’s B2B marketing and industry positioning strategy, • Identify opportunities to elevate Dexerto’s profile across the advertising, media, gaming, entertainment, and creator economy industries, • Shape how Dexerto communicates its value proposition, market position, capabilities, and authority externally, • Help define the strategic narrative around Dexerto’s growth, audience, innovation, and commercial strengths, • Ensure consistency in how Dexerto presents itself across sales materials, PR, events, partnerships, thought leadership, and industry communications, • Work closely with leadership to identify opportunities to strengthen the company’s visibility and reputation globally Industry Presence & PR • Build and manage relationships with relevant industry press, media publications, PR contacts, event organisers, and trade publications, • Identify opportunities for coverage, commentary, interviews, speaking opportunities, and market visibility, • Drive strategic PR initiatives that increase awareness of Dexerto within advertising, media, gaming, entertainment, and creator industries, • Support senior leadership in raising Dexerto’s external profile through coordinated thought leadership and strategic positioning, • Identify opportunities for industry partnerships, market-facing campaigns, and strategic brand amplification Awards & Commercial Integration • Lead Dexerto’s industry awards strategy across commercial, editorial, video, social, and branded content categories, • Work closely with Commercial, Creative Strategy, Sales, Editorial, and Leadership teams to identify strong award opportunities and craft compelling submissions, • Build systems and processes around award tracking, submission timelines, and supporting materials, • Support the commercial team in strengthening Dexerto’s positioning within pitches and external-facing materials, • Partner with Business Development and Sales teams to align marketing efforts with commercial growth objectives, • Lead Generation & Business Development Support, • Develop marketing initiatives that support lead generation and commercial growth, • Identify ways marketing can better support outbound sales efforts, prospect engagement, and industry awareness, • Create market-facing campaigns, reports, and strategic content that drive inbound interest and commercial conversations, • Work closely with sales leadership to understand pipeline priorities and support broader business development initiatives, • Help improve how Dexerto positions itself against competitors within agency and brand conversations Insights, Research & Thought Leadership • Leverage Dexerto’s audience, platform, campaign, and industry data to create compelling market-facing insights and narratives, • Lead the creation of whitepapers, industry reports, trend pieces, insight decks, and research-led marketing initiatives, • Translate complex audience and performance data into commercially valuable industry stories, • Develop distribution strategies for reports and insights across PR, sales, social, partnerships, and industry channels, • Identify the right audiences, publications, and industry stakeholders for market-facing insight campaigns Performance & Accountability • Track and evaluate the effectiveness of marketing initiatives, PR activity, awards strategy, and lead generation efforts, • Establish KPIs and reporting frameworks around brand visibility, engagement, commercial support, and market impact, • Bring accountability and performance focus to Dexerto’s external marketing activity, • Continuously assess industry trends, competitor positioning, and market opportunities Candidate Profile The ideal candidate will bring: • 5+ years of experience in B2B marketing, brand marketing, agency marketing, media marketing, or strategic communications, • Experience marketing an agency, publisher, media business, entertainment company, or public-facing brand, • Strong understanding of the advertising, media, gaming, entertainment, and creator economy landscapes, • Experience supporting lead generation, business development, or commercially-driven marketing functions, • Demonstrated experience developing strategic marketing campaigns and market positioning initiatives, • Strong experience producing industry-facing reports, whitepapers, insights pieces, or thought leadership content, • Ability to interpret audience and campaign data and turn it into compelling commercial narratives, • Existing relationships or experience working with industry media, PR contacts, trade publications, or event organisers, • Strong writing, storytelling, and communication skills, • Experience supporting award submissions, PR campaigns, or industry recognition initiatives, • Strong commercial awareness and understanding of how marketing supports revenue growth, • Ability to operate strategically while also driving execution and delivery, • Strong organisational and project management skills, • Confidence working with senior stakeholders and leadership teams, • High attention to detail combined with strong creative and strategic thinking, • Passion for gaming, entertainment, digital culture, or creator-led media is highly desirable Impact of the Role Dexerto has built one of the largest and most engaged audiences in gaming and internet culture. This role will play a key part in ensuring the wider industry understands the scale, influence, creativity, and commercial capabilities behind the brand. From shaping industry perception and generating commercial opportunities through to elevating thought leadership and strengthening market authority, this role will directly contribute to Dexerto’s next phase of growth. This is an opportunity for a commercially-minded strategic marketer to help define how one of the leading modern media brands positions itself within the global advertising and entertainment landscape. Dexerto is committed to diversity and inclusion and welcomes applicants from all backgrounds. #LI-Remote

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

About ProvectusAt Provectus, we architect enterprise-grade AI and data solutions that transform how organizations leverage their most valuable asset – data. We combine deep technical expertise with strategic product thinking to deliver scalable, production-ready AI systems and modern data platforms.Who We're Looking ForWe're seeking a Senior Technical Product Manager with strong engineering acumen and product leadership experience to drive sophisticated AI and data platform initiatives. You bring the technical depth to engage in architecture discussions, evaluate trade-offs, and make informed decisions about complex system designs – while maintaining focus on business value and user outcomes.You're a technical translator who bridges the gap between possibility and practicality, helping clients navigate the rapidly evolving AI landscape with confidence. Your background allows you to assess technical feasibility, identify risks early, and guide engineering teams toward optimal solutions. • Architect Product Strategy for Technical Platforms:, • Define product strategy for AI platforms, data infrastructure, and enterprise-scale data migration initiatives., • Lead technical product discovery – evaluating emerging technologies (GenAI, Agentic AI, vector databases, streaming architectures) and assessing fit for client use cases., • Design solution architectures in collaboration with data architects and engineers, making build-vs-buy decisions and technology stack selections., • Develop technical roadmaps balancing innovation, scalability, security, and time-to-value. Drive AI/ML Product Development: • Own end-to-end product lifecycle for GenAI applications leveraging LLMs, RAG architectures, Agentic frameworks, and multi-modal AI systems., • Translate business requirements into technical specifications, API contracts, data schemas, and system integration patterns., • Guide model selection, evaluation criteria, and deployment strategies for ML models in production environments., • Champion MLOps practices including model versioning, monitoring, performance tracking, and continuous improvement loops. Manage Complex Data Platform Initiatives: • Lead product planning for data lake/lakehouse implementations, warehouse modernizations, and cloud data platform migrations., • Define data product requirements including ingestion pipelines, transformation logic, data quality rules, governance policies, and access patterns., • Oversee integration of multiple data domains, ensuring interoperability, data lineage, and metadata management., • Partner with data engineering teams on performance optimization, cost management, and scalability planning. Execute Through Agile Delivery: • Facilitate Agile ceremonies and maintain well-groomed backlogs with properly sized, technically detailed Features and epic-level stories., • Work closely with engineering teams to decompose complex features into incremental releases with clear technical dependencies., • Define sprint goals aligned with quarterly objectives and long-term product vision., • Balance technical debt management with feature delivery, advocating for enablers and architectural improvements. Enable Technical Decision-Making: • Conduct technical due diligence, proofs-of-concept, and spike solutions to validate approaches before full investment., • Analyze trade-offs between competing technical solutions, considering performance, cost, maintainability, and developer experience., • Document technical decisions, architectural decision records (ADRs), and design patterns for knowledge sharing., • Communicate technical strategies and recommendations to executive stakeholders with clarity and conviction., • Required Qualifications:, • Bachelor's degree in Technology or Business related field (Master's preferred)., • 5-7+ years of experience in technical product management, solutions architecture, or software engineering., • 5+ years in product management roles with demonstrated end-to-end product ownership., • 3-5+ years of experience with AI/ML products, Generative AI, or data platform development., • 3-5+ years working in Agile/Scrum environments with strong command of Agile methodologies and ceremonies., • Deep understanding of cloud architectures (AWS, Azure, GCP) and modern data stack technologies. Technical Expertise: • AI/GenAI: LLM integration, prompt engineering, RAG architectures, fine-tuning, Agentic AI frameworks (LangChain, LlamaIndex, AutoGen)., • Data Engineering: ETL/ELT patterns, data modeling, Snowflake, Databricks, dbt, Airflow, Kafka/streaming architectures., • Cloud Platforms: AWS (SageMaker, Bedrock, Glue), Azure (OpenAI Service, Synapse), GCP (Vertex AI, BigQuery)., • MLOps: Model deployment, monitoring, versioning, CI/CD for ML, feature stores, experiment tracking., • Data Migration: Assessment methodologies, migration patterns, data validation, cutover strategies., • Development Practices: API design, microservices, containerization (Docker, Kubernetes), CI/CD pipelines. Core Competencies: • Solution design and technical architecture capabilities., • Requirements translation from business needs to technical specifications., • Strong analytical thinking and problem-solving in complex technical domains., • Exceptional stakeholder management across technical and non-technical audiences., • Clear technical communication—documenting complex systems and presenting architectural decisions., • Risk identification, dependency mapping, and mitigation planning. Preferred Qualifications: • Prior software development or data engineering experience (3+ years)., • Background in consulting or professional services, delivering client solutions., • Certifications: AWS Solutions Architect, Azure Data Engineer, GCP Professional Data Engineer, Certified Scrum Product Owner. Personal Attributes: • Insatiable curiosity about emerging technologies and a hands-on experimentation mindset., • Close attention to detail with quality focus and commitment to technical excellence., • Collaborative team player who thrives in cross-functional environments., • Adaptable and comfortable navigating ambiguity in fast-paced consulting contexts., • Passion for mentoring engineers and elevating technical practices., • Lead top-tier engineering teams and cutting-edge agentic AI systems, enterprise AI platforms., • Shape how enterprises adopt AI — from strategy to architecture to delivery., • Grow within a team building modern AI-delivery practices, tools, and frameworks., • Remote-friendly culture with strong engineering, data, and consulting partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

Location: UK (Remote) Department: Engineering Hours: Full-time Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns. Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise. • Proven experience writing highly maintainable, performant Python and JavaScript code;, • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);, • Understanding of Data Modelling patterns;, • Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;, • Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.)., • Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;, • Comfortable working in a dynamic production environment and taking care of client expectations effectively;, • Distinct customer focus and quality mindset;, • Experience working closely with engineering leadership and architects to deliver high-quality solutions;, • Experience maintaining a high degree of ownership and transparency in deliverables;, • An exemplar of YLD’s brand and safe-guarder of our reputation;, • Exceptional communication skills, able to communicate complex ideas simply. As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get: • Company Private Health care (currently provided by BUPA), • Enhanced fully paid maternity and paternity leave for up to 6 months, • Company’s Pension Scheme, • 25 days annual holiday (excluding Public Holidays), • £2000 annual allowance for Training/Conferences, • £300 annual allowance for additional hardware, • Mental Health support: access to Spill app, • Meditation/Sleep support: Headspace or Calm app subscription, • Bonus (depending on Company performance and results), • Company laptop, • Generous referral schemes Our typical Recruitment Process looks like this: • 1st Interview with someone from the Talent team (30/45 mins), • Technical Interview with our Senior Developers (1h30) We live and breathe our values, and know you will too: • Growing every day, • Including everyone, • Relationships built on honesty and ethics, • Inspiring solutions, • Winning together We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

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

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

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.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Role – Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location –(Remote) UK Job Description Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: · 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker, Kubernetes, and CI/CD pipelines · Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: · Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center · Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink · Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC · Confluent certifications (Developer, Administrator, or Flink Developer) · Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes · Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns · Exposure to monitoring tools (Prometheus, Grafana, Splunk) · Experience with data lakes, data warehouses, or big data ecosystems Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: · High analytical skills · A high degree of initiative and flexibility · High customer orientation · High quality awareness · Excellent verbal and written communication skills

Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

Are you a highly skilled Backend Engineer looking to make a significant impact on a global scale? Join Spotify's Commerce Platform and help us build the next generation of our robust, high-performing, and resilient commerce ecosystem. This is an exceptional opportunity to tackle complex challenges, shape our technology stack, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we own the critical backend services and extensive datasets that power end-to-end merchandising, sophisticated order management, seamless payment orchestration, and intuitive purchase flows for millions of users worldwide. Your expertise will be instrumental in evolving our technology stack, driving innovation, and directly impacting Spotify's business growth. • Architect and implement highly scalable backend systems and robust data pipelines from concept to deployment, ensuring the right capabilities are delivered within Spotify’s internal commerce platform, • Lead the design and development of critical features in our Java and Python backend services, contributing to a high-volume, low-latency environment, • Design, build, and optimize data pipelines, ensuring efficient and reliable data processing for our commerce insights and operational needs, • Drive operational excellence by championing best practices in monitoring, alerting, and incident response for our production systems, • Collaborate closely with talented engineers, product managers, and cross-functional teams across Spotify to deliver impactful solutions for our users, • This role has on-call rotation, • 5+ years of working experience in a similar role, • Experienced building and scaling Java and/or Python backend services within a large-scale, cloud-native environment (e.g., Google Cloud Platform or equivalent), • Experience of building and maintaining data pipelines, • Knowledge and practical experience with scalable database technologies like PostgreSQL, • Excellent problem-solving skills with a strong bias for action and a pragmatic approach to engineering challenges, • Exceptional communication and collaboration skills, comfortable driving technical discussions, presenting complex ideas, and working effectively with diverse stakeholders, • A self-driven, proactive engineer who thrives in a collaborative team environment and is committed to continuous improvement through feedback and shared learning, • Experience in e-commerce, financial engineering, or high-volume transaction processing domains is a bonus, • This role is based in 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. We ask that you come in 3 times a week.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.

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to_and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to _, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! . See yourself at Twilio Join the team as Twilio’s next Senior Engineering Manager, Voice Media. About the job We're looking for an experienced, technically strong Engineering Manager to lead our Voice Media team. You'll drive the technical strategy for core media infrastructure that powers Twilio's Voice services at global scale. Your team will build robust systems processing billions of media streams while maintaining industry-leading reliability, quality, and performance. This is a highly technical leadership role requiring deep systems expertise and a passion for real-time communications technology. Responsibilities In this role, you’ll: • Lead a team of senior engineers developing Twilio's next-generation media processing stack, • Drive technical architecture decisions for low-latency, high-throughput media systems, • Collaborate with product, platform teams, and other engineering teams to define technical roadmaps, • Establish engineering excellence through code quality standards, testing practices, and operational reliability, • Mentor engineers and provide technical guidance on complex media processing challenges, • Balance technical debt reduction with feature development while maintaining service reliability, • Build and evolve systems handling real-time media processing at scale, • Own service performance metrics, reliability targets, and continuous improvement initiatives, • Partner with engineering leaders to align media platform capabilities with broader Voice strategy, • Make key technology stack decisions that impact Twilio's media processing capabilities Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: • 5+ years of engineering management experience leading teams building distributed systems, • Understanding of Voice/VoIP infrastructure and media handling challenges, • Strong technical background with experience architecting and building backend services at scale, operating them with high reliability under strict SLOs, • Deep understanding of systems design, microservice architecture, and cloud infrastructure, • Experience managing complex technical tradeoffs between reliability, scalability, and feature development, • Track record of successfully delivering critical infrastructure projects with significant technical complexity, • Experience in improving developer velocity using AI tools, • Strong knowledge of performance optimization, reliability engineering, and operational excellence, • Excellent communication skills with ability to translate complex technical concepts across technical and non-technical audiences, • Experience with at least one of: real-time communications systems, media processing, streaming technologies, or related fields Desired: • Experience with SIP, RTP/RTCP or other communications protocols, • Familiarity with media codecs, transcoding, packet loss concealment, and audio processing, • Background in building low-latency, globally distributed systems, • Experience with Rust, Java, C/C++, or other systems programming languages and platforms like Asterisk or gStreamer, • Experience in building Voice AI products, • Knowledge of cloud infrastructure on AWS or similar platforms, • Prior experience in telecommunications or communications platforms Location This role will be remote Ireland or UK. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call . Additionally, we empower employees to build by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, _ Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Senior Cloud Engineer (AWS) Outside IR35 Contract Location: Remote/ occasional travel to London Duration: Initial 3 month contract (likely extension) Rate: Competitive (DOE) We are currently looking for a Senior Cloud Engineer (AWS), available at short notice to join one of our well established global clients. What makes this an exciting opportunity for a contractor not only is this outside of IR35, this particular area of the business is at the beginning part of the journey to the cloud and are retiring the on prem workflow and re-platforming to the cloud. This is a high profile challenge with in the organization and is a highly rewarding opportunity that us being built from the ground up with end to end visibility. We are seeking an experienced Senior Cloud Engineer who is a subject matter expert in AWS, with some experience/broadcast background and though this is Engineer role where you will be expected to be hands on we are looking those individuals with architecture capabilities. Responsibilities of the Senior Cloud Engineer (AWS): Design, implement, and maintain audio broadcast cloud infrastructure in AWS, focusing on scalability, reliability, and CI/CD automation. • Collaborate with cross-functional teams to define cloud architecture, optimize workflows, and ensure governance alignment., • Apply expert knowledge of AWS, containerized environments (e.g. Docker), and IaC tools like Terraform and Ansible for infrastructure performance and cost efficiency., • Implement best practices in DevOps and DevSecOps, including observability, security, networking, API integration, and disaster recovery., • Mentor junior engineers and contribute technical leadership, ideally with experience in broadcast workflows, audio/video streaming, and Agile methodologies. Key Requirements: Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP. • Proven experience in a containerized environments (docker etc.. ) and associated tooling such as Gitlab etc., • Proven experience in coding with a programming/scripting language (e.g. Java, Golang , Python, Bash)., • Background in Broadcasting/Media/Radio or Video is essential. Extensive proven experience of AWS Cloud and knowledge of other cloud platforms such as Azure and GCP Interviews are being arranged for across this week so If this sounds like you and is of interest then to get in touch right away by sending your CV and one of our team will be in touch with you should to discuss further should your application be considered.

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML that serves at scale for hundreds of millions of users. • Design, develop, and deliver robust and scalable backend systems and APIs., • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features., • Write clean, maintainable, well-documented code, adhering to coding best practices., • Participate in the improvement of our software development standards and practices., • Stay up-to-date with emerging backend technologies and best practices., • Be a member of the Spotify-wide backend developer community affecting and driving our architecture across the company., • You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production., • You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions., • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences., • You love working in an environment where you constantly experiment and iterate quickly., • You believe data is the most powerful tool for informed decision-making., • You care about quality and you know what it means to ship high quality code., • 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.

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. • Evolve the Interactive Learning Plugin's recommendation system, • Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations., • You’ll own a real-time recommendation service, • Build and operate applied models, • Develop, validate, version, monitor, and iterate on models used by the recommendation system., • You’ll own model training & serving, • Define what recommendation quality means, • Develop offline, online, and longitudinal measures of recommendation performance., • You’ll own feature pipelines, monitoring of the model and architecture, • Ship incremental improvements, • Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow., • Integrate improvements into the existing recommender rather than waiting for a complete replacement system., • Partner across disciplines, • Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service., • Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis., • Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions., • Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. • Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems. You are comfortable beginning with simple, explainable approaches when they are the best way to learn., • HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems, • Applied model ownership. You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: • Experience with content, education, onboarding, or learning recommendation systems, • Experience with SaaS product telemetry and customer-account data, • Experience using warehouse-scale behavioral data, • Experience with directed graphs, sequence models, or prerequisite-aware recommendations, • Experience with contextual bandits or other exploration strategies, • Familiarity with Grafana or the broader observability ecosystem, • Experience with open source software or transparent development practices, • Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Who We Are At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily. Our employees are experts in the employee experience, workforce communications and technology. Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world? Job Summary We're looking for a Senior Full Stack Engineer who thrives at the intersection of craft and scale. You'll design and deliver large-scale, multi-tenant cloud services — with a relentless focus on availability, fault-tolerance, and elegant architecture. You'll set the bar for engineering quality and help elevate those around you. Core Engineering & Ownership: Build and own scalable SaaS applications end-to-end — frontend, backend, and data layers. Write production-grade code that is reliable, readable, efficient, and testable. Raise the bar through thoughtful code reviews and comprehensive documentation. System Architecture: Design future-ready architectures and proactively close gaps before they become problems. Performance & Reliability: Drive system availability and performance — investigate, analyze, and resolve reliability issues across the stack. Recognize opportunities and advocate for better performance and efficiency of software, systems, and processes across teams. Shift Left Testing & Quality: You champion a rigorous 'shift-left' quality culture, embedding comprehensive testing—unit, integration, and contract—early and continuously in the development lifecycle, not as an afterthought. AI Integration: Leverage and advocate for AI-assisted tools (e.g., GitHub Copilot, Claude) to accelerate development while maintaining rigorous engineering judgment and accountability for code correctness. Leadership: Drive team-wide best practices, conduct quality code reviews, and mentor engineers to elevate overall engineering quality. Collaboration (Product & Design): Partner with Product and Design to translate requirements into intuitive UI, making informed technical trade-offs in the face of ambiguity. Collaboration (Engineering Standards): Champion engineering best practices across teams and collaborate on solving complex, high-impact problems. Bachelor's degree in Computer Science or related field, or equivalent experience. 5+ years building reliable, performant applications and microservices in production environments. Proven full stack fluency - you're comfortable across frontend, backend, and the database layer. A polyglot mindset — you evolve with the tech. Familiarity with Ruby on Rails, TypeScript, Node.js, or React.js is a strong plus. Proven full-stack experience across frontend (React.js), backend, and database layers. Technical depth in at least one engineering domain: distributed systems, multi-tenant SaaS, application databases, networking, security, serverless, event streaming, or similar. A genuine drive to build beautiful, intuitive products with the customer always in focus. Innate curiosity — you love learning and have a desire to teach and lift others. Strong communication skills and openness to collaborative idea-sharing across teams. • Core Stack Experience: Familiarity with Ruby (including Ruby on Rails), TypeScript, Node.js, or React.js is a strong plus. Why Firstup? Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome. If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit. We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally. Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws. #LI-TM1#LI-RemoteWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

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