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📍London, Cardiff or Remote in the UK | 💰 £97,800 -125,000 + | ✨ ⭐Our Borrowing Analytics Engineering Team: Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new global markets, build new products and shape the future of how we serve our customers. We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 🔑You’ll play a key role by... • Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite., • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases., • Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards., • Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices., • Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance., • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond. 🤩We’d love to hear from you : • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others., • You have experience building robust and reliable data sets that require a high level of control., • You enjoy working with cross functional fast moving teams and are passionate about serving our customers., • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers., • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture., • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business., • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables., • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering., • Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders. The interview process: Our interview process involves 4 main stages: • Recruiter call, • Initial call, • Technical task, • 3 x 1 hours sessions (final interview) Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £97,800-£125,000 base + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-AS #LI-Remote

📍Cardiff, London or Remote (UK) | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + | About our Financial Health Team: We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers. What you’ll be working on: As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements. At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. Your day-to-day: • Generate insights that can drive the direction of our Financial Health strategy through proactive analysis, • Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life, • Work and advise on Financial Health’s global expansion strategy, • Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health, • Ensure accurate reporting to third parties and regulators, • Build and maintain controls to ensure our business processes are running as intended, • Lead projects to improve the accuracy, efficiency and accessibility of our data Locations & flexible working Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 Our technology stack: Our_'s mission is to Enable Monzo to Make Better Decisions, Faster At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): • _ for all of our analytics infrastructure, • and for our data modelling and warehousing, • Python for data science, • _ to write our application code, • _ for most of our backend infrastructure You should apply if: • What we’re doing here at Monzo excites you!, • You are passionate about using data to improve and inform business decisions, • You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions, • You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business, • You’re as comfortable getting hands-on as taking a step back and thinking strategically, • You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same, • You have a solid grounding in SQL, • Experience in Financial Health is a plus, but not required. We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our _ The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! • 30 minute recruiter call, • 45 minute initial call, • Take home task, • 2 x 1-hour video calls, including a technical case study Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + _ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ #LI-LG1 #LI-Remote

📍 London, Cardiff or Remote in the UK | | ✨| Check out our _ 🚀 What you’ll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You’ll enable our data driven approach, and: • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases., • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost., • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards., • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen., • Take established best practices and standards defined by the team, applying them within other areas of the business., • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse., • Contribute to prioritisation of data governance issues, • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role We’d love to hear from you if… • You enjoy working with cross functional fast moving teams and are passionate about serving small businesses., • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers., • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to haves • Any experience working within a finance function or knowledge of accounting., • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care)., • Knowledge of regulatory reporting and treasury operations in retail banking, • Exposure to Python, Go or similar languages., • Experience working with orchestration frameworks such as Airflow/Luigi, • Have previously used dbt, dataform or similar tooling., • Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: • 30 minute recruiter call, • 45 minute call with the hiring manager, • Take home task, • 2-part final stage Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

Warehouse Operative We are looking for a full time and permanent Warehouse Operative. The ideal candidate would ideally hold a Counterbalance Forklift Licence or who is willing to go through the FLT Training to join our team at the Tamworth Operations Centre to assist with our Washrooms, Healthcare and Floorcare Divisions. The key responsibilities of a Warehouse Operative at phs will involve; • To maintain the relevant paperwork., • Preparing Stock for Drivers., • To keep stock areas clean and tidy always., • To carry out stock takes as and when requested., • To carry out any task deemed necessary by the Operations Manager., • To liaise and form good working relationships with other members of staff within the Branch., • To fully comply with current health and Safety legislation and procedures. The ideal candidate for a Warehouse Operative role at phs will:, • Having the manual handling capability to handle large amount of stock daily., • Ability to work under pressure., • Forklift licence., • Health and Safety., • To carry out all operations and activities in the prescribed manner., • Use the correct tools and equipment for the operation including any relevant safety equipment or protective clothing., • Report any defects in equipment or protective clothing immediately., • Avoid improvising or taking short cuts which would entail unauthorised or unnecessary risks., • Maintain a clean & tidy working area., • Report accidents or near miss incidents promptly., • Suggest ways of eliminating or reducing hazards., • Cooperate with accident/incident investigations in order to prevent reoccurrence., • Develop a personal concern for their own safety and that of their colleagues. In return for your commitment and expertise, you will get:, • Normal working week – 40 Hours over 5 days Monday to Friday., • Salary paid 4 Weekly., • Be presentable with good verbal and written skills, • You’ll be working with a great team including a supportive senior management team., • You’ll be a key and important player in an exciting transformation of our business., • You’ll have a full, thorough induction with technical and product training., • Opportunity for career development!, • Pension Scheme., • Company Benefits including discount schemes., • Your annual leave will be 31 days (inclusive of Christmas Day) so you have 30 days to book throughout the holiday year. Due to the nature of our work, bank holidays are normal working days except for Christmas Day. About phs: Phs Group was founded in 1963 and we are the leading provider for Hygiene Services in the UK, Spain and Ireland with over 90,000 customers across 300,000 locations incorporating numerous businesses during its 57 years of business. Our businesses include: Washrooms, Healthcare, Floorcare, Phs Direct and Direct 365 (sale of consumables), Phs Greenleaf, Teacrate, Besafe, Wastekit and Compliance. At phs, we pride ourselves on our diverse workforce, and ensuring we have an inclusive environment for all our staff. We remain committed to ensuring our teams can bring their true selves to work without risk or fear of discrimination.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

Position at Moneycorp Please note: we are offering this position as a fixed term contract. Who We Are Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service. In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major payment rails, and proprietary technology. Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values. We’re restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey. The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business. Who You Are / Your Next Challenge The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight‑driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems. This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency. As Finance undergoes significant change, the Data Engineer will be a key technical contributor—helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities SQL, Data Extraction and Transformation • Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python‑based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads., • Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy., • Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered, • Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold‑layer datasets, ensuring secure, performant, and well‑governed reporting models for dashboards and analytical consumption., • Support the onboarding of new data sources into Microsoft Fabric by working with DevOps teams on secure connectivity, API integrations, and operational ingestion processes., • Design and develop data pipelines and queries, for efficient data extraction and transformation., • Write and maintain production-level code to support lead management and Finance systems, ensuring scalability, performance, and reliability., • Development and maintenance of complex datasets needed for reports, dashboards, and visualisations., • Troubleshoot database-related issues., • Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies., • Conduct regular reviews of SQL code and queries for performance improvements, • Ensure data security and integrity., • Stay updated with the latest database technologies and best practices. Data Warehouse • Implement best practices for data modelling, ETL processes, and data integration., • Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning., • Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture. Finance System Infrastructure, • Support configuration changes as needed to meet Finance & Business requirements., • Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users., • Facilitating with the implementation of the new functionality arising from the upgraded software.What we’re looking for: Essential, • Extensive SQL experience:, • Working with relational databases (e.g., SQL Server, Oracle, MySQL)., • Strong proficiency in SQL, T-SQL and SparkSQL., • Proven background as a SQL Analyst / Developer or Data Engineer., • Experience working with structured and unstructured data sources., • Experience writing stored procedures and production‑level data transformation code., • Previous experience of working in a fast-paced environment, • Knowledge of software development best practices., • Strong analytical mind, excellent attention to detail., • Good interpersonal and communication skills both written and verbal., • Good analytical abilities, with an enquiring mind., • Robust, capable of clearly and strongly articulating position. Desirable, • Hands‑on experience with Microsoft Fabric., • Advance development experience, most notably with programming languages such as python., • Power BI model development and semantic modelling., • API setup/testing experience (e.g., Postman)., • Experience with cloud platforms and modern data architectures., • Experience within financial services or regulated environments., • Advanced Excel skills. Education:, • Bachelor’s degree in Computer Science, Information Systems, STEM, or related field., • Certifications in Python, PySpark, or cloud technologies are desirable but not essential. Please note: This is a full-time, fixed term contract with an opportunity to work in a hybrid working model within our Finance Transformation team based in our London office. What you get in return: This role offers a competitive salary, plus a benefits package including private medical health insurance. Interested? If the role sounds like you, we invite you to upload a copy of your CV and can do this by clicking on the Apply Now button For company news, announcements and market insights, visit our . You can also find Moneycorp on , , , , , where you can discover how we are leading the way in global payments and currency risk management. Diversity and Inclusion Moneycorp is proud to be an Equal Opportunity employer. Across our Group, Moneycorp maintains a philosophy that an inclusive company culture inspires creativity, fosters a sense of belonging, and is imperative to both personal and professional growth. With a makeup of 47 percent female employees, Moneycorp has a remarkably diverse workforce. Our commitment to inclusion and opportunity continues to evolve and improve as we listen and engage with our diverse teams. All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We hire on the basis of talent, merit, competence, performance, and business needs.

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.

Great opportunity to work as a MHE Driver, Reach or VNA for our client in Chorley. Staffline is recruiting MHE Drivers, Reach or VNA in Chorley. The rate of pay is £13.10 - £19.65 per hour. This is a full-time role working rotating shifts on 4 on 4 off pattern and the hours of work: - 6am to 2pm - 2pm to 10pm Your Time at Work As a MHE Driver, Reach or VNA your duties include: - Manual Handling - Loading and unloading vehicles - General warehouse duties Our Perfect Worker Our perfect worker will show good attention to detail and will have MHE drivers, Reach or VNA - licence and experience. Key Information and Benefits - Earn £13.10 - £19.65 per hour - Temp to perm opportunity - OnSite support from Staffline - Canteen on site - Free car parking on site - Free hot drinks - Good links to public transport - Full training provided - Opportunities for overtime Job Ref: 1GBCH About Staffline Staffline is the UK's largest recruitment solutions partner, enabling over 35,(Apply online only) people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales. As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical...

Driver Representative Needed! We're a growing national company with a rapidly expanding order book! We are currently seeking full-time drivers in the local area to provide quotations to customers interested in our services and products. Job Responsibilities: Taking measurements Showing product samples Conducting surveys Note:No cold calling or canvassing is required all appointments are pre-confirmed and warm leads. What We Offer: Comprehensive training provided, so no previous experience required Immediate start dates available from next week Earnings between £35,000 - £40,000 per year, depending on the role Full-time positions with weekly pay Requirements: Must have your own vehicle Must possess a full UK driving licence Is the routine in your admin, retail, or warehouse operative position getting tedious? Is support work not fast paced enough for you? If the days in your delivery driver role are blurring together, this is the job for you. Join our team and discover a fulfilling career where you can make a real impact. We offer a supportive environment, a number of growth...

Great opportunity to work as a Delivery Van Driver for our client, delivering for a large supermarket. Delivering groceries safely and on time to customers' homes following planned routes. Staffline is recruiting Delivery Van Drivers in Leyland, Olympian Way. The rate of pay is £12.71 - £13.11 per hour. This is a full-time role. The hours of work are: - 6:15am to 2pm - 6:30am to 2:30pm - 7:30am to 3:15pm - 7:45am to 3:30pm - 8am to 4pm - 8:15am to 3:45pm - 2pm to 10pm - 2:15pm to 10pm - 2pm to 11pm - 3pm to 10pm - 3:30pm to 10:15pm - 4pm to 10pm Your Time at Work As a Delivery Van Driver, your duties include: • Loading customer orders into the delivery van and checking items are correct before departure. - Delivering groceries safely and on time to customers' homes following planned routes. - Providing excellent customer service, being polite and professional when interacting with customers. - Handling deliveries accurately, including confirming deliveries and collecting signatures where required. Our Perfect Worker Our perfect worker will be physically fit for work and be able to lift up to 25kg. You will have great attendance and a good attitude. You must be over the age of 18 years old, hold a Full UK Driving Licence (for more than 1 year), with no penalty points, and not have been disqualified from driving in the last 1 year. Previous experience is advanced, but full training will be given. Key Information and Benefits • Earn £12.71 - £13.11 p/h - Temp-to-perm opportunity - Full training provided - Opportunities for overtime Job Ref: 1MORT About Staffline Staffline is the UK's largest recruitment solutions partner, enabling over 35,000 people into good work every week. We operate at more than 420 customer sites across England, Scotland and Wales. As one of the most established recruitment agencies in Nottingham with operations across the UK, we specialise in connecting businesses with temporary and permanent jobs across warehouse & logistics, food and drink, aviation, driving, technical & engineering, manufacturing & automotive and security. Important Information • Staffline and its subsidiaries do not charge any recruitment or job-seeking fees at any stage of the hiring process. - This job advert may not be copied, imitated, or used, in whole or in part, by third-party websites, without prior written consent from Staffline. - Our job adverts are correct at the time of publication, but some details and job responsibilities are subject to change. TPBN1_UKTJ

The Shift Leader will manage the warehouse shift operations, lead a team, ensure efficient workflow, and support training.

Use our free route optimisation software to plan your round and improve delivery times . Collect parcels from your local delivery unit at an agreed time .

Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store Passion

Our residential home is in the beautiful High Peak, providing high quality Residential, Respite and Dementia care for 36-residents.Senior Care Assistant Contract £13.Contracted to 36 hours per week Paid DBS, pension, uniform provided 5.Role Overview As Senior Care Assistant, you will guide and s

Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store Passion

Overtime and Saturday work available ?? Immediate start Requirements: Valid CSCS Card Previous construction site cleaning experience Full PPE Good spoken English Reliable and hardworking To apply, call George on 07432157726 Barker Ross Group values diversity and promotes equality.

Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store Passion

What you’ll do - Collect parcels from your local delivery unit at an agreed time - Deliver and collect parcels within your allocated local area - Provide a reliable and friendly service to customers - Use the route optimisation software to plan an efficient delivery round A typical delivery d

Safely storing cleaning materials Ensure all cooking utensils and pots are cleaned to the required standards Carry out any tasks assigned by the Head / Second Chef or Home Manager Some of our benefits by joining the Care UK family Alternate weekend and social friendly working hours Bank Holiday Pay

Hours: Truly Flexible Full-time, Part-time, Mornings, Evenings, or Weekends *Unfortunately we cannot offer sponsorship at this time. Qualifications Do I need experience? Not necessarily! Whether youve cared for a family member, raised a family of your own, or are just looking for a meaningful career

Flexibility is required to complete overtime on Saturdays.

Reliable income consistent parcel volumes reward those who show up and stay committed Quick payments you can withdraw your income at a time that suits you, no need to wait for pay day What Youll Do: Collect parcels from your local Evri depot at your agreed pickup time Deliver (and collect) parce

Counterbalance Forklift Production Line Operatives Earn £14-15 per hour Looking for a role that combines forklift skills with production line or Canning line experience? We are hiring Counterbalance Forklift Production Line Operatives for immediate starts with a leading client in Bedford! What You

As a Care Assistant you will assist with mealtimes, personal care, and activities, while also going above and beyond to understand each person holistically. The work can be challenging at times, but it's also incredibly rewarding. Whether you're experienced or new to care, we'll provide full trainin

ABOUT THE ROLE This is a casual, part-time role offering flexible working. As a Bank Care Assistant, you could be doing anything from supporting residents with their food and drink and following care plans to ensuring that each of our residents has one-to-one time.

Competitive pay with opportunities for overtime. You will lead by example, support care staff, and work closely with the management team to ensure exceptional standards of person-centred care are delivered at all times. There has never been a better time to join our growing group of care homes.

As a Care Assistant, you could be doing anything from supporting residents with their food and drink and following care plans to ensuring that each of our residents has one-to-one time.

Ensure that at all times residents are treated with respect and dignity, and that individuals rights to privacy, dignity, independence and choice are met.

ABOUT THE ROLE This is a casual, part-time role offering flexible working.

ABOUT THE ROLE This is a casual, part-time role offering flexible working.

Whats in it for you? £165£220 per day, paid to you weekly Fuel reimbursement Fully insured van available (or use your own for extra earnings) Paid training & full support from day one Immediate start. What you need: Full UK driving licence (held for 12+ months, max 6 points) Pass a criminal backgr

Opportunities to Progress Once youve successfully held a round for 12 weeks, a world of new opportunities opens up at NewsTeam.

ABOUT THE ROLE- A £500 Golden Hello is just one of the ways well reward you when you join Barchester in this role.As a Senior Care Assistant at a Barchester care home, youll look after the different needs of our residents to enable us to deliver quality, person-centred care and support.Your role wi

The gratitude, the stories, the smiles that stay with you and: Outstanding career development with fully funded professional training and qualifications (up to QCF level 5).

A healthcare organization is seeking a qualified Anesthesiologist Assistant to join a collaborative anesthesia care team in Rutland, UK.This role involves assisting anesthesiologists during surgical procedures, conducting patient assessments, and monitoring vital signs.The successful candidate will

In the UK, we are very proud to have recently been recognised in the Sunday Times ‘Best Places to Work 2023’, one of only 11 in the ‘very large’ employers category. With the support from the regional sales manager, you will nurture and develop your team to unlock their full potential and sup

Senior Manager, Technical Accounting.Global Financial Reporting, Accounting and Tax.We seek an experienced Senior Manager, Technical Accounting to join our innovative team.You will oversee the development, implementation, and communication of our accounting policies, ensuring compliance across our g