476 to 500 of 507 Data Engineering Jobs in the UK

high-pressure or ambiguous situations Ownership & Accountability: Takes responsibility for delivering high-quality outcomes Continuous Improvement: Always seeking ways to enhance technical and engineering quality, security and efficiency Travel: Ability to travel to different sites and locations on a weekly basis Critical Competencies Technical Competencies (Essential) Strong architectural capability … configuration management, including Microsoft Intune and Microsoft Configuration Manager (SCCM/ConfigMgr) Hands-on capability in automation, IaC, CI/CD, scripting and platform engineering Comfortable using AI tools to achieve outcomes (e.g., accelerating analysis, troubleshooting, automation and documentation) with appropriate security and data-handling practices Critical Competencies ...

high-pressure or ambiguous situations Ownership & Accountability: Takes responsibility for delivering high-quality outcomes Continuous Improvement: Always seeking ways to enhance technical and engineering quality, security and efficiency Travel: Ability to travel to different sites and locations on a weekly basis Critical Competencies – Technical Competencies (Essential) Strong architectural capability … configuration management, including Microsoft Intune and Microsoft Configuration Manager (SCCM/ConfigMgr) Hands-on capability in automation, IaC, CI/CD, scripting and platform engineering Comfortable using AI tools to achieve outcomes (e.g., accelerating analysis, troubleshooting, automation and documentation) with appropriate security and data-handling practices Critical Competencies ...

high-pressure or ambiguous situations Ownership & Accountability: Takes responsibility for delivering high-quality outcomes Continuous Improvement: Always seeking ways to enhance technical and engineering quality, security and efficiency Travel: Ability to travel to different sites and locations on a weekly basis Critical Competencies – Technical Competencies (Essential) Strong architectural capability … configuration management, including Microsoft Intune and Microsoft Configuration Manager (SCCM/ConfigMgr) Hands-on capability in automation, IaC, CI/CD, scripting and platform engineering Comfortable using AI tools to achieve outcomes (e.g., accelerating analysis, troubleshooting, automation and documentation) with appropriate security and data-handling practices Critical Competencies ...

Finance to improve controls, reporting, automation and audit readiness. HR systems - owning and enhancing HR platforms to simplify processes and ensure high-quality people data across the organisation. CRM transformation - leading the delivery and adoption of a new CRM solution, from implementation and integration through to benefits realisation. Specialist … operational systems - owning and improving funeral and crematoria line-of-business platforms that support front-line operations and customer journeys. Integration, data and reporting - driving a coherent integration strategy, improving data quality and enabling consistent operational and financial insight. Service, risk and vendor management - ensuring robust application support ...

Automate Flows (both desktop and cloud) and Computer Use Expertise in Canvas and Model-driven App development Experience in working with Dataverse Tables and data formats such as XML and JSON Competent understanding of Microsoft 365 including M365 Copilot Teams, SharePoint-related infrastructure Knowledge of Azure AI Foundry … people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: thyssenkrupp Materials Services uses data to help strike a delicate operational balance What matters ...

leading financial services firm in London is seeking a Vice President – Ontology to shape knowledge representation and data publishing standards. The role involves developing and managing ontologies and enhancing data interoperability. Candidates should have significant experience with Semantic Web technologies and ontology development tools. Strong communication skills … understanding of data standards are critical. This opportunity is ideal for someone passionate about advancing data engineering in the financial sector. #J-18808-Ljbffr ...

field. Apply the DSIT Guidelines and HMRC’s Guidelines for Compliance (GfC) to accurately assess qualification across a wide range of sectors, including software engineering, AI/ML, life sciences, materials science, electronics, and advanced manufacturing. Critically evaluate whether client projects genuinely meet the threshold for an advance … robust technical arguments and attending HMRC meetings as the technical lead. Develop strong, trust-based relationships with senior technical stakeholders, including CTOs, Heads of Engineering, R&D Directors, and Chief Scientists. Provide leadership, coaching, and quality assurance to junior team members on technical writing, interview technique, and sector knowledge. ...

unique opportunity to join a fast-scaling, high-calibre global data and technology platform focused on data engineering, analytics, and AI-driven solutions. This role will be the first dedicated legal hire based in Newcastle working as an extension of the London-based legal team. The role … focused on the legal issues surrounding AI, data and quant-driven work, partnering day-to-day with highly technical teams in a strong, academically led environment. It also offers a clear lifestyle upside in Newcastle upon Tyne, with a much lower cost of living and an overall quality ...

team responsible for the web and mobile experience that helps retail investors manage and grow their wealth ahead of retirement. This is a product engineering role, not a ticket-taking one. You'll work in a modern agile delivery environment with frequent releases, data-driven decision making … coordination is a key differentiator at this level. Collaborate regularly with product managers, designers, proposition managers, risk, security, pen testers, user researchers, and a Data Engineering team working towards a shared single source of truth. Sprint reviews are attended by senior business leaders, so clear communication across different ...

facing materials, including documentation, blogs, and industry reports, to build credibility and trust. What you should bring 4+ years’ experience in a senior research, data science, or applied science role. Expertise in at least one of the following: Responsible AI evaluation in production with strong probabilistic reasoning. Evaluation data engineering, including synthetic or curated dataset design under privacy and PII constraints. Nice to have: HR analytics or I‐O psychology experience (e.g. adverse impact, selection validity, defensible evaluation). Strong Python skills for statistical analysis and reproducible research workflows. Comfort operating in ambiguous, high‐judgement problem spaces. ...

emphasis on quality, stability and long-term thinking. The Global IT function is at the heart of the organisation's strategy to modernise through data and digital platforms, and testing is seen as a critical enabler. You'll be joining a supportive environment with approachable leadership, an inclusive culture … role where your contribution directly improves confidence in delivery and the reliability of systems used across the business. You will work with: Data Engineering and Development teams across global locations Development Leads and Business Analysts throughout the delivery lifecycle Azure-based platforms and pipelines, including ADF, Databricks ...

spearhead the design and deployment of cutting-edge Agentic Systems and LLM applications. Key Responsibilities: Team Leadership: Manage the ML team and collaborate with data scientists, software engineers, and business stakeholders. LLM & Agent Development: Build autonomous AI agents, implement Retrieval-Augmented Generation (RAG) pipelines, and fine-tune LLMs using … PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy AI systems ...

financial time-series forecasting and market modeling. Research, prototype, and evaluate cutting-edge architectures (e.g., GNNs, RNNs, Transformers) for signal discovery. Collaborate closely with data engineering and trading teams to translate research insights into scalable, production-grade models. Set and drive the fund’s overall AI strategy, identifying … research internally and contribute to the firm’s broader innovation initiatives. What They're Looking For PhD (or equivalent research experience) in Artificial Intelligence, Data Science, Computer Science, Applied Mathematics, or a related field. A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR. Hands ...

shape requirements, define architectures, and deliver high-impact solutions. Role Responsibilities 1. Shaping Capability and Community Act as a technical leader within the AI & Data practice, mentoring architects and senior engineers. Stay ahead of Microsoft’s AI roadmap and emerging agentic patterns, translating these into practical guidance. Help shape … people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: thyssenkrupp Materials Services uses data to help strike a delicate operational balance What matters ...

approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should … strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models ...

above (Essential) 6 GCSEs minimum GCSE, grade 6 or above (Desired) About the Employer JMAN GROUP LIMITED JMAN is a high-growth data engineering and science consultancy specialising in commercial value creation for Private Equity and global corporates. Scale & Reach: 600+ experts across London (HQ), New York … 2023. Ambitious Growth: Rapidly expanding US operations with the goal of matching our European footprint by 2027. Expertise: A unique synergy of commercial consulting, data science, and software engineering. Why Join Us? Our vision is to be the "passport to your future." We provide a fast-paced, high-growth ...

JAVA, Node.js, Python etc and someone willing to cross train. Experience building API's React or similar Vue/Angular AZURE or AWS Data Engineering is an advantage Experience building AI enabled applications or demonstratable interest Upper mid or Senior level experience and motivation to progress to leadership ...

Lead Python Developer – Climate Tech 👥 Non-Profit | Major Philanthropic Backing | Real Engineering Problems 📍 London (Hybrid, 3 days per week) 🔧 Python, FastAPI, PostgreSQL, GCP, Docker I'm working with a fast-growing climate-tech non-profit tackling one of the most important infrastructure challenges in the energy transition. Backed … job. ⚡ Requirements: 7+ years experience developing and maintain scalable Python/FastAPI back-end services Ideally worked with high-performance APIs for complex hierarchical data queries and grid modelling computations Managed and optimised GCP cloud infrastructure, implementing CI/CD pipelines and infrastructure-as-code Lead technical planning ...

Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors ...

office. Via Umbrella company Are you ready to elevate your career in treasury technology? Do you have a passion for bridging the gap between data engineering and financial modelling? If so, we have an exciting opportunity for you! Join our client's dynamic Market Risk Change Team … build and enhancement of QRM modelling capability, including dynamic assumption modelling to adapt to changing market conditions. Act as a vital bridge between engineering teams and colleagues running models in QRM, facilitating smooth communication and collaboration. Contribute to wider Group-wide projects and initiatives, playing a key role ...

job. Requirements: 7+ years experience developing and maintain scalable Python/FastAPI back-end services Ideally worked with high-performance APIs for complex hierarchical data queries and grid modelling computations Managed and optimised GCP cloud infrastructure, implementing CI/CD pipelines and infrastructure-as-code Lead technical planning … breaking down roadmap items into scoped engineering work, driving ADRs and setting standards for code quality, testing, and API design Collaborate cross-functionally with front-end, data engineering, modelling and product teams to deliver reliable, impactful features Line-manage a team of 35 engineers through ...

investment team. You’ll be interfacing with the business regularly, so strong communication skills are important. Ideal person is tech first (Strong Python engineering fundamentals, API design) while getting exposure to modern tech across the stack such as UI's, messaging frameworks and data validation tools. Having … would be great. Experience with React is a bonus. As part of the process, you’ll meet with the CTO, investment partners, and the data engineering lead, so prior financial experience is required to hit the ground running. This role is based in London. If you’re interested ...

sector client looking to expand their Devops team (multiple roles). Key requirements: Strong experience with AWS services and infrastructure as code using Terraform Data engineering expertise using Apache Spark and Python, including development in Jupyter Notebooks Workflow orchestration and containerisation experience with Apache Airflow and Docker Version ...

Machine Learning Engineering Manager We're building a new ML Engineering team and are looking for a strong technical lead to help take our machine learning capability from proof-of-concept to fully scaled, production-ready solutions. Sitting within our Group & Enterprise Services (GES) function, this role … part of the Data vertical and reports into the Head of Data Engineering. You'll be hands-on with cloud infrastructure, APIs and deployment pipelines, working mainly in GCP Vertex AI (essential) and Azure (desirable). Your focus will be enabling data scientists to deploy high-impact ...

World's leading Investment Banks is seeking a polished, ambitious and hard working individual to join their Data Engineering division as an Operations Analyst to support the Chief of Staff function. The Chief of Staff function operates across the EMEA region and is responsible for managing a wide … strategies, and maintaining milestones and budgets. You will be responsible for assisting with the on-boarding process for contractors, updating systems and producing meaningful data reports via Excel, tracking staff movements and transfers and co-ordinating on-going projects. You MUST possess excellent inter-personal skills, bags of energy ...