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Are you looking for an innovative and consolidated place for your professional development? GMV is an experienced technology group and we are looking for a highly motivated Software Engineer, or equivalent academic qualification in Computer Science, Software Engineering or a related discipline, to support its activities in Space Domain Awareness (SDA) within the Space Surveillance and Tracking (SST) and Space Traffic Management (STM) unit in GMV-UK. We'll get to the point; we'll tell you what's not on the web. If you want to know more about us go to GMV website. The role is focused on the development, integration and verification of software solutions supporting operational and engineering activities for SDA-related projects. GMV is a leading company in the space sector, with a strong position in SST, STM and SDA, applying cutting‑edge technologies to deliver operational systems and advanced capabilities to institutional and defence customers. The selected candidate will join a multidisciplinary and international team working on evolving customer‑driven projects where requirements may change at short notice. We are looking for pragmatic, delivery‑focused engineers with a strong software engineering mindset, able to adapt quickly, communicate effectively and continue learning in a demanding technical environment. Due to the nature of the projects, only UK national candidates that can obtain UK security clearance SC (UK eyes only) can be considered for this role. • Design, develop and maintain Java micro‑services within an agile delivery environment., • Develop and evolve RESTful APIs using OpenAPI and JSON., • Implement automated tests at different levels to support robust and maintainable software delivery., • Contribute to the integration of software components such as databases, workflow/orchestration services and messaging technologies., • Support troubleshooting, defect resolution and continuous improvement as project needs evolve., • Collaborate closely with other engineers, testers and stakeholders, including work partially performed at customer premises. The work will be partially performed at contractor premises within UK, with travel required accordingly. • Experience working on agile projects, • Proficient in Java., • Knowledge of automated testing, • Strong experience in development and automated testing of Java micro‑services., • Recent experience developing RESTful APIs using OpenAPI and JSON., • Excellent teamworking and communication skills., • Pragmatic, adaptable and delivery‑focused profile, able to respond to changing requirements and priorities., • This role requires a UK national with security clearance (SC or above) or the ability to obtain security clearance. Only UK national candidates that can obtain UK security clearance (UK eyes only) can be considered for this role., • Spring / Spring Boot., • PostgreSQL and Java Persistence API (JPA)., • Cucumber and Gherkin for automated testing., • NiFi or similar workflow automation technology., • Temporal or similar orchestration technology., • RabbitMQ or similar message / streaming broker technology., • Big data technologies such as HBase or Hadoop., • Machine learning technologies such as Spark., • Knowledge of orbit dynamics. 🕑 Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area. 💰 Competitive compensation with ongoing reviews, flexible compensation and discount on brands. 💪 Wellbeing program: Health insurance, pension scheme, free fruit and coffee, and much more! ⚠️ In our recruitment processes you will always have telephone and personal contact, face‑to‑face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at . ❤️ We promote equal opportunities in recruitment, and we are committed to inclusion and diversity. If you have any questions please do not hesitate to contact Nina Miller, in charge of this vacancy. Nina Miller #J-18808-Ljbffr

White Collar Factory (95009), United Kingdom, London, London Senior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It’s an exciting time at Capital One UK - We’re on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One’s Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. • Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption, • Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem, • Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain, • Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value, • Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns, • Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case, • Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation, • Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group, • Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation, • Deep understanding & hands‑on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI, • Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB), • A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities, • Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle, • Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment, • Proficiency in software development principles, patterns, and practices including CI/CD, • Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting, • An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation, • There is no one type of architect; you are the glue that adds value where it’s needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction, • Experience in Financial Services or Regulated sector beneficial This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an onsite gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. • Wealth & Future: Competitive pension and performance-based bonus schemes, • Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days., • Health: Access premium care through our private medical insurance., • Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate‑led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. At Capital One, we're building a leading information‑based technology company. Still founder‑led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good. #J-18808-Ljbffr

Senior Manager Architect - DataApplylocations: London, Eng: Nottingham, Engtime type: Full timeposted on: Posted Todayjob requisition id: R248001White Collar Factory (95009), United Kingdom, London, LondonSenior Manager Architect - DataLocation: London or Nottingham - HybridWorking Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remoteOur MissionWe’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best WorkplacesTM list. Hear from our team about what it’s like working at Capital One UK.About the roleDo you love shaping the architectural technical direction of large, complex Data transformation initiatives?It’s an exciting time at Capital One UK - We’re on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers.Capital One’s Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates.Come and help us shape the future of financial services in the Cloud.What you’ll do Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture groupWhat you’ll bring Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it’s needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction* Experience in Financial Services or Regulated sector beneficialWhere and how you'll workThis is a permanent position which can be based in either our London or Nottingham offices.We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.What’s in it for youWe invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications.In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave.A full list of our benefits is available here.What you should know about how we recruitWe pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages.We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates.Capital One is committed to diversity in the workplace.If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.For technical support or questions about Capital One's recruiting process, please send an email to One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). #J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. This range is provided by Tenth Revolution Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Direct message the job poster from Tenth Revolution Group Senior and Mid-Level Data Engineering Roles - Remote - £50k - £75k My client is a young, expanding Microsoft Partner actively seeking senior and mid-level data engineers to join their in-demand data engineering team. If you are experienced with the Azure Data Stack and have consulting experience, this is a great opportunity for you. Salary and Benefits • Salary of £50k - £75k (DOE), • Discretionary bonus of up to 10%, • Fully remote working (office attendance once per month), • And many more! Role and Responsibilities • Collaborate with clients to gather requirements and develop tailored Azure-focused solutions, • Deploy and manage Azure Data Factory, Synapse, Data Lake Storage, Python, • Navigate clients' ERP environments (particularly SAP and/or Dynamics 365), • Identify and share opportunities to reuse existing data flows, • Build data-streaming systems, • Apply systems integration knowledge, • Promote data engineering best practices within the business, • Senior roles require leading projects, mentoring, and ensuring best practices Requirements to Apply • Expertise in Python, • Expertise in the full Azure Data Stack, • ERP experience, • Desirable skills: MS Fabric, Databricks, PySpark, Power BI Our client has limited interview slots and aims to fill this vacancy by the end of the month. If interested, send your updated CV to or call . Please Note: This is a permanent role for UK residents only. No sponsorship is provided. You must have the right to work in the UK without restrictions. Background checks may be required. TRG is the leading recruiter for Power BI and Azure Data Platform roles in the UK. We are sponsors/supporters of SQLBits, Power Platform World Tour, Power BI User Groups, and Data Platform and Cloud User Groups in Newcastle. Contact me for confidential job search or hiring discussions at • Mid-Senior level, • Full-time, • Consulting, • IT Services and IT Consulting Referrals can double your chances of interview success at Tenth Revolution Group. #J-18808-Ljbffr

White Collar Factory (95009), United Kingdom, London, LondonSenior Manager Architect - Data Location: London or Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. Do you love shaping the architectural technical direction of large, complex Data transformation initiatives? It’s an exciting time at Capital One UK - We’re on a mission to unlock organisational pace and Data agility, through creating our next generation, cloud-based data ecosystem, to unlock the power of data, increase financial inclusion and deliver transformative, real-time, intelligent experiences to our customers. Capital One’s Data team is responsible for the data ecosystem, which covers the holistic data lifecycle, from the capture of high-quality customer data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption. You will invest in architecture excellence across the Data team, and foster innovation to unlock value across our user community of Engineers, Data Scientists, Data Analysts & Data Governance associates. Come and help us shape the future of financial services in the Cloud. Shape the architecture direction and evolution of the data ecosystem, across Cloud-scale Distributed Data Processing, Storage & Curated Data Consumption Influence Senior stakeholders, Internal customers & Enterprise partners, gaining consensus on key technology decisions and architecture direction of the data ecosystem Own and evolve architecture artefacts including reference architectures, Architecture Decision Records, and technical standards for your domain Partner with Product Management, Engineering, Cyber and our user community of Engineers, Data Scientists, Data Analysts and Data Governance associates, solving their challenges through Data Technology, to unlock business value Be a passionate advocate for the data ecosystem and data technology, driving wide awareness and usage aligned to Enterprise architecture standards and patterns Enable simplification across our architecture, processes and technologies, by encouraging and fostering UK standardisation, the reuse of appropriate industry SaaS solutions, and adoption of Enterprise standards, patterns, capabilities and platforms as appropriate for each use case Nurture and grow architecture excellence & culture within the Data team, leading technical design reviews & driving architecture best practice both within the team and the broader Architecture organisation Collaborate with your peers in UK architecture and engage in the wider Enterprise architecture group Demonstrable experience as a hands-on Senior Manager Architect, in a large, complex data led organisation Deep understanding & hands-on leverage of Modern, Cloud scale Data Technologies, with specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle Excellent communication skills, effortlessly navigating across tech, architecture, product and senior stakeholders to achieve alignment Proficiency in software development principles, patterns, and practices including CI/CD Passion for growing architectural and data led thinking, with experience in embedding & scaling this within in a large Enterprise setting An ability to shape the adoption of modern Data Technology and support the evolution of a Data driven culture, across a scaled, cross functional organisation There is no one type of architect; you are the glue that adds value where it’s needed. To achieve this you are flexible, adapting your approach to meet the needs of the team, initiative, or product. You solicit differing views, are willing to change your mind and perspective as you learn more, and are adept at building consensus to align stakeholders to a common direction Experience in Financial Services or Regulated sector beneficial This is a permanent position which can be based in either our London or Nottingham offices. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here. We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to . At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good. #J-18808-Ljbffr

Come help us build the future of data analytics and integration. Progress your career and start reshaping how companies use data for the better with 5Y. Location Remote /Hybrid– Nottingham City Centre OR London (Soho) Team Lead Position Yes Salary Competitive Pension 5% match & salary sacrifice scheme Work abroad Within 3 hours of GMT for up to 90 days Primary focus Enterprise Data Engineering & Data Platform Delivery Technologies Azure Data Platform, Azure Data Factory, Azure Synapse, Power BI, SSAS, SSIS, SSRS Experience Minimum 5 years Microsoft BI delivery experience Qualification Degree in Computer Science, Mathematics or related technical discipline We are looking for an experienced Senior Data Engineer to lead the design, implementation and delivery of enterprise-scale data engineering solutions. The role combines deep technical expertise with leadership responsibility, ensuring data platforms, integration systems and analytics solutions are delivered to a high standard while establishing engineering best practices across the organisation. You will be responsible for building scalable data solutions, coordinating teams, improving engineering standards and helping customers maximise the value of their data investments using modern Microsoft and cloud-based technologies. The position requires a strong blend of technical capability, stakeholder engagement, architectural thinking and strategic planning to ensure robust, secure and future-ready data solutions are delivered successfully. Outcomes 01 Build scalable, secure and high-performing data platforms, integration solutions and analytics environments that meet customer and business requirements. 02 Define, maintain and promote data engineering best practices, standards and delivery frameworks across teams. 03 Provide reliable, trusted and analytics-ready data that supports reporting, insight generation and business performance management. 04 Guide technical teams through successful project delivery while resolving issues and maintaining delivery quality. 05 Identify emerging technologies, modern engineering approaches and platform enhancements that improve customer outcomes and delivery efficiency. Your ownership • Champion data engineering capabilities across the business., • Coordinate teams and establish engineering standards., • Promote reuse of existing data flows and integration patterns., • Ensure engineering best practices are followed across projects., • Provide technical leadership and mentoring to team members., • Build and maintain enterprise data streaming systems., • Design and implement Azure-based data solutions., • Deliver modern data warehouse, analytics and reporting environments., • Develop robust integration solutions across multiple systems., • Ensure platforms remain scalable, secure and high performing., • Design enterprise data integration procedures and standards., • Create and maintain data models suitable for analytical workloads., • Evaluate architectural options considering cost, benefit and risk., • Recommend appropriate technologies and platform approaches., • Maintain alignment between enterprise data models and systems., • Design and document technical solutions., • Facilitate requirements workshops and technical discussions., • Conduct stakeholder meetings and planning sessions., • Produce implementation estimates and technical recommendations., • Support customers throughout solution design and delivery., • Implement and tune large-scale database environments., • Optimise SQL workloads and stored procedures., • Perform performance analysis and diagnostics., • Improve scalability and platform resilience., • Support migration and consolidation initiatives., • Manage project milestones and delivery timelines., • Support both agile and traditional delivery methodologies., • Coordinate issue resolution and preventative actions., • Ensure adherence to development policies and internal processes., • Maintain consistent project governance and reporting., • Research emerging technologies and industry trends., • Evaluate new tools, platforms and delivery methods., • Recommend innovations that improve customer outcomes., • Support continuous improvement across engineering practices., • Identify opportunities to modernise data platforms. How we measure Measure Area Examples of Evidence Solution Delivery Successful delivery of enterprise-scale data engineering projects. Solution Delivery Reliable, scalable and optimised data platforms and integrations. Data Quality Trusted, analytics-ready data available to business users. Team Leadership Effective coordination, mentoring and technical guidance. Stakeholder Satisfaction Positive feedback from business and technical stakeholders. Innovation Adoption of beneficial technologies and process improvements. Governance & Standards Consistent adherence to engineering standards and best practices. Project Delivery Milestones achieved within agreed timelines and budgets. You will be a highly technical and analytical data engineering professional with significant experience designing and delivering modern data platforms. You will be comfortable operating across architecture, engineering, delivery and stakeholder engagement, combining hands‑on technical capability with leadership and strategic thinking. You will demonstrate strong communication skills, a passion for data engineering best practice and the ability to guide organisations through complex data transformation initiatives. Degree in Computer Science, Mathematics or related technical discipline Dynamics AX knowledge Minimum five years delivering business solutions using the Microsoft BI stack. Microsoft CRM knowledge Azure Data Factory Snowflake Power BI Python SSAS Experience with Azure Data Lake SSIS Experience with Azure SQL Database and Azure SQL Data Warehouse SSRS Experience with Cosmos DB Strong stakeholder management skills Experience with Oracle, PostgreSQL or SQL Server at enterprise scale Database tuning and optimisation expertise Experience with high-performance SQL and stored procedures Data migration planning and delivery experience Experience working in agile and traditional delivery environments Strong technical documentation and solution design skills Ability to coordinate teams and resolve technical challenges Year one • 1 Data engineering standards are established and consistently applied across projects., • 2 Enterprise-scale data solutions are successfully delivered to customers., • 3 Teams are effectively coordinated and supported throughout delivery., • 4 Data integration and modelling practices are improved and standardised., • 5 Platform performance, reliability and scalability are measurably improved., • 6 Stakeholders have greater access to trusted, analytics-ready data., • 7 Technical governance and delivery processes are embedded across projects., • 8 Emerging technologies and platform improvements are assessed and introduced where appropriate., • 9 Customers and internal teams benefit from improved data engineering capabilities and solution quality. #J-18808-Ljbffr

2026-10-03T00:00:00 Location: Nottingham, Nottinghamshire, GB, NG1 5 Remote: Any Application Deadline: 2027-01-01T23:01:36.497 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. 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 a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. 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 is 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. 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 #s1-Gen Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You’ll Do Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs and long-term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. Where You’ll Be 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 a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. 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 is 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. 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 #J-18808-Ljbffr

Our client operates across transportation, freight and logistics, while developing software and telecommunications capabilities that support connected services, digital workflows and data-intensive operations. Its work brings together operational technology, software platforms, mobile applications and information management to improve how services are delivered, coordinated and experienced. A broad technology environment creates a strong setting for engineers who want to build dependable data foundations with practical commercial impact. The AWS Data Engineer will design and deliver the cloud data capabilities that enable reliable reporting, advanced analytics and future digital products. Working from Nottingham, you will engineer ingestion, transformation and storage services across a modern AWS estate, ensuring that data can move efficiently from operational and external sources into trusted, well-structured datasets. Success in this position means producing resilient pipelines, clear data models and reusable data products that meet business and technical needs. You will combine hands-on engineering with sound architectural judgement, strengthening quality, governance, observability and cost control while working closely with platform, architecture, product and analytical specialists. The role offers substantial scope to influence engineering standards and the evolution of a scalable data platform. Your contribution will help establish consistent delivery patterns for batch, event-driven and change-data-capture workloads, supporting both current priorities and the organisation’s longer-term data and AI ambitions. • Architect and implement secure, scalable data pipelines using AWS-native services and modern engineering patterns., • Develop ingestion frameworks for relational systems, APIs, files, events and change-data-capture sources., • Build transformation workflows and dimensional or domain-oriented models using SQL, Python and dbt., • Structure data across lakehouse layers so that raw, curated and consumption-ready information remains traceable and fit for purpose., • Create reusable data products that serve operational insight, customer solutions, reporting, machine learning and emerging AI use cases., • Establish automated controls for validation, reconciliation, completeness, freshness and other critical data-quality measures., • Embed metadata, lineage, access management and governance requirements into the engineering lifecycle., • Use monitoring, logging and alerting to improve pipeline reliability, incident response and platform observability., • Review workload performance and cloud consumption, identifying opportunities to improve efficiency and manage AWS costs responsibly., • Partner with architects, software engineers, analysts, product owners and platform teams to translate requirements into maintainable solutions., • Contribute to engineering standards, reusable components, documentation, code reviews and continuous improvement practices., • Help shape data-product ownership and federated delivery principles as the wider platform matures., • Demonstrable experience designing and operating production data engineering solutions on Amazon Web Services., • Strong practical knowledge of Amazon S3, AWS Glue, Athena, Lake Formation, AWS Database Migration Service and Step Functions., • Advanced SQL capability, including complex transformations, performance considerations and data validation techniques., • Professional Python experience with a focus on automation, pipeline development, testing and maintainable code., • Hands-on delivery experience with dbt, including modular transformations, testing, documentation and model dependency management., • Understanding of lakehouse architecture, layered data design and principles such as the Medallion approach., • Experience integrating data through batch processing, APIs, file exchange, streaming or event-based mechanisms., • Knowledge of data governance disciplines covering quality, metadata, lineage, security and appropriate access controls., • Ability to design for resilience, observability, recoverability and efficient use of cloud resources., • Experience communicating technical decisions clearly to both engineering colleagues and non-technical stakeholders., • Confidence working across multidisciplinary delivery teams in a complex or enterprise-scale environment., • Exposure to customer-facing analytics, operational intelligence or data-enabled digital products would be advantageous., • Familiarity with machine learning, artificial intelligence or advanced analytical workloads would add value., • Awareness of Data Mesh, domain ownership or data-product operating models would be beneficial., • AWS certification, such as Solutions Architect, Data Engineer or Developer, would be welcomed but is not essential., • Meaningful ownership of cloud data engineering work that supports transportation, logistics and digitally enabled services., • Technical scope across ingestion, lakehouse design, governance, data products and AWS platform optimisation rather than a narrowly defined pipeline remit., • Exposure to analytics, machine learning and emerging AI initiatives as the organisation expands its data capabilities., • Opportunity to influence reusable engineering standards, delivery patterns and the practical adoption of data-product principles., • Collaboration with architecture, platform, software, product and analytical professionals across a varied technology landscape., • Access to a role where strong engineering decisions can improve reliability, insight and operational performance at scale., • Professional growth through hands-on work with modern AWS services, contemporary data practices and complex integration challenges., • A competitive package aligned with the responsibilities and experience required for this position. The position is based in Nottingham, England, and is suited to an engineer who combines strong AWS delivery skills with an interest in platform design and business outcomes. Experience from transportation, logistics, software, telecommunications or another data-intensive sector will transfer well. Applicants should be prepared to demonstrate how they have improved the reliability, usability or governance of production data platforms. The successful candidate will bring curiosity, practical judgement and the ability to turn evolving requirements into robust engineering outcomes. Callum Bell Divisional Manager, Technology ETail Specialist • #J-18808-Ljbffr

Ideagen is seeking an AI Front End Developer to shape Mazlan, the intelligent workspace used across our products. You will craft the core UI for interacting with AI agents and guided workflows, in a hybrid setup based near Nottingham. You’ll work with React and TypeScript to deliver real-time, streaming interfaces, turning AI results into clear recommendations while ensuring performance and reliability. Collaboration with product and AI teams is essential. #J-18808-Ljbffr

Boomi Architect - Remote - 5 months+ - Circa £600 per day outside ir35 Please note: Due to the nature of the project, successful applicants will be required to be SC cleared prior to appointment. My client is a global leading IT consultancy. They are on the hunt for a Boomi Architect to join a central government client of theirs. Must have iPaaS implementation experience as well as strong Stakeholder management skills. Pure theory only candidates are not suitable. Responsibilites: • Integration Adoption & Project Onboarding, • Reusable Integration Asset Library, • API Management Capability Enablement, • Event Streaming Capability Enablement, • Engineering & Supplier Technical Leadership, • Platform Operational Readiness, • Integration Governance & Assurance, • Platform Roadmap & Capability Evolution, • Data Sharing Discovery & Solution Design Boomi Architect - Remote - 5 months+ - Circa £600 per day outside ir35 Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003. JBRP1_UKTJ

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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

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