83 jobs for “Data Engineer”
Harnham - Data and Analytics Recruitment London £70,000 – £75,000 pa
Builds and maintains client-facing analytics applications and reporting products, designing Power BI dashboards and visualisations while integrating AI, large language models and agentic workflows. Works with Data Engineering, Data Science and Architecture teams, migrating traditional reporting into scalable products and delivering executive-level dashboards, demos and training.
Harnham - Data and Analytics Recruitment London £75,000 – £80,000 pa
Own end-to-end delivery across data pipelines, modelling and reporting, building Azure-based pipelines and a Databricks lakehouse platform. Integrate finance and HR data via APIs, own the semantic and Power BI reporting layers, and shape data standards as the team grows.
Palantir Technologies Palo Alto, United States US$145,000 – US$200,000 pa
Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes and data-sovereign enterprises. Works full stack from inference engines and GPU scheduling to deployment pipelines, observability and platform integration, using Java, Rust, Python and Go with Docker and Kubernetes.
Palantir Technologies Washington, United States US$135,000 – US$200,000 pa
Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers in sensitive, air-gapped and edge environments, shaping strategy for an early-stage product.
Faculty Remote (UK)
Deliver bespoke, production-grade machine learning systems for defence clients, spanning the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.
Faculty London
Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
GXO Logistics Bradford £30,000 pa
Produces accurate MI reports, dashboards and performance metrics, analysing operational data to spot trends and improvement opportunities. Builds and maintains Power BI dashboards, Power Apps and automated reporting, partnering with operations, finance, inventory and customer service teams to support decision-making and data quality.
Michael Page Hertfordshire £60,000 – £65,000 pa
Owns supply chain master data governance and data integrity across plan, source, make and deliver processes in ERP systems. Builds dashboards and analytics in Excel and Power BI, applies automation and AI tools to improve planning accuracy, and leads process mapping, root cause analysis and continuous improvement. Acts as key user for supply chain systems, supporting testing, implementation and training.
GXO Logistics Burnley £60,000 pa
Lead the Management Information function at a new Burnley distribution site, delivering accurate reporting, analytics and business insight to senior operational leaders. Develop dashboards and reporting suites using Power BI or Tableau, drive data governance and continuous improvement, and partner with finance, HR and customer stakeholders to support decision-making.
The University of Manchester Manchester £48,337 – £59,390 pa
Develops and applies machine-learning and AI methods to protein engineering and enzyme design, analysing complex biological and chemical datasets and building predictive models and computational tools. Works within an interdisciplinary group spanning the Manchester Institute of Biotechnology and Department of Chemistry, providing ML expertise, training and support to computational and experimental colleagues.
Blackwaters CG Ltd Farnborough £40,000 – £50,000 pa
Lead the development of Business Intelligence capability for an investor-backed business services company, designing enterprise-quality Power BI dashboards, semantic models and self-service reporting. Build Azure-based data pipelines and ETL processes while applying commercial analysis to support pricing, forecasting and growth modelling. The role also involves close engagement with senior stakeholders to shape data strategy and champion data literacy.
UCL London £46,261 – £48,679 pa
Develop and evaluate novel AI algorithms to quantify brain iron load from standard-format MRI data, with a focus on quantitative susceptibility mapping (QSM). Based in UCL's Hawkes Institute, a multidisciplinary grouping at the intersection of engineering and health, the post is funded for four months.
LENACRE GROUP LTD London £55,000 – £62,000 pa
Translate business requirements into working prototypes and production-ready tools using AI-assisted development and low-code platforms. Build automations across Microsoft 365, Power Platform, SharePoint, Power BI and Azure, reviewing AI-generated code for security and maintainability while working with stakeholders, infrastructure and governance teams.
Isomorphic Labs London
Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.
LENACRE GROUP LTD London £55,000 pa
Builds practical applications and automations across Office 365, Power Platform, SharePoint, Power BI and Azure, turning business needs into working software. Uses AI-assisted development tools to generate, refactor and debug code, validating it for security and maintainability, and takes AI initiatives from MVP to production. Works with stakeholders, infrastructure engineers and governance teams, with two days a week in the Canary Wharf office.
