551 to 575 of 609 Data Engineering Jobs

Senior Software Engineer (.NET/C#) | Greenfield Systems Rebuild | Remote | £80,000–£100,000 This is a hands-on senior engineering role with real technical authority. You will be the lead engineer and technical decision-maker on a greenfield rebuild of a mission-critical system, working within a small … level design documentation. Make architecture decisions, present options clearly to non-technical stakeholders, and govern integration standards across the programme. Support the Infrastructure and Data Engineers with cross-cutting technical decisions throughout the build. Post go-live: take on broader enterprise architecture responsibilities including architecture governance, technology strategy ...

Machine Learning Operations Engineer opportunity. You will build and maintain the infrastructure for AI and ML models, focusing on data pipelines, automation, and deployment. This role lives between data engineering and machine learning Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience ...

leading software company based in the United Kingdom is seeking an experienced Software Engineering Manager (Data) to lead a distributed team in developing scalable data platforms and analytics solutions. The ideal candidate will have over 10 years of software experience and a background in managing teams dedicated … data engineering. This role emphasizes mentorship, collaboration with Product Managers, and the adoption of generative AI tools, offering a competitive salary range of $160,000-$195,000, along with excellent benefits. #J-18808-Ljbffr ...

Senior Software Engineer (.NET/C#) | Greenfield Systems Rebuild | Remote (UK) | £80,000-£100,000 This is a hands-on senior engineering role with real technical authority. You will be the lead engineer and technical decision-maker on a greenfield rebuild of a mission-critical system, working within … level design documentation. Make architecture decisions, present options clearly to non-technical stakeholders, and govern integration standards across the programme. Support the Infrastructure and Data Engineers with cross-cutting technical decisions throughout the build. Post go-live: take on broader enterprise architecture responsibilities including architecture governance, technology strategy ...

Define and execute an integrated IT, DevOps and AI strategy aligned to IES’s business objectives Lead the transition from legacy data centre infrastructure to a modern, multi-cloud environment Own and develop enterprise-wide AI strategy, including governance, compliance and responsible AI practices Lead global IT operations, including … ITSM, service desk, resilience, disaster recovery and monitoring Embed DevOps best practice across engineering teams, championing automation, CI/CD and cloud-native delivery Oversee architecture and platforms across infrastructure, cloud, networks and AI systems Ensure cyber security, risk management and secure-by-design principles are embedded across ...

ownership: influence outcomes and help shape the AI roadmap. Cross-functional exposure: work day-to-day with business stakeholders and partner closely with the engineering team to ship production systems. Paired delivery model: you will be partnered with a Product Manager who will lead the AI project … iterates in production. A strong communicator who can run discovery and manage tradeoffs with stakeholders. An engineer comfortable owning end-to-end delivery (data → model → app → monitoring). Core responsibilities Partner closely with the AI Product Manager to translate business goals into an executable technical plan (scope, milestones, tradeoffs ...

incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals . … value realization to senior and C-level stakeholders. Win new strategic accounts and expand footprint within existing enterprise customers. Collaborate with AI solution architects, data scientists, and delivery teams to shape winning proposals. Align customer AI maturity with solution roadmaps and delivery feasibility. Maintain opportunity, account, and pipeline data ...

testing, and production environments. Monitor database health and perform routine maintenance tasks including index optimisation, table maintenance, and schema modifications. Work with Development and Data engineering teams to optimise performance & cost of data pipelines Manage database capacity planning and storage allocation to ensure adequate resources for current … high availability solutions including replication, clustering, and failover configurations. Document database architectures, configurations, procedures and policies. Implement appropriate security controls to ensure databases and data are protected. Ensure database backup, validation and disaster recovery capabilities are in place and rehearsed. Provide insight and recommendation on the adoption and consolidation ...

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 ...

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 ...

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 ...

thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. Job Description As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions. The Data Engineering department … reporting systems; both the regulatory requirements and the interpretations which have been implemented. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where ...

thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. Job Description As a Regulatory Data Team Leader, you will lead a cross-functional team in the delivery of regulatory reporting software solutions. The Data Engineering department … reporting systems; both the regulatory requirements and the interpretations which have been implemented. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where ...

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 ...

Partner Manager, UK Reports To: Global Director of Go To Market Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI , driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning , data engineering , and analytics on Google Cloud Platform (GCP). By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. The Partner Manager, will play a pivotal role in expanding our position as Google Cloud ...

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 ...

appoint a Senior Quant Software Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego. The successful candidate will work at the intersection of quantitative research … data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance. The Role As a Quant Developer, you will: Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure Develop high-performance, robust ...

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 ...