100 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.
Cobb & Jones Recruitment Limited Maidstone £65,000 – £75,000 pa
Join a group-wide transformation team, reporting to the CFO, turning large and complex datasets from a data lake into clear reporting and insight. Build Power BI dashboards, standardise finance reporting templates and working papers, and handle ad hoc data requests from the CEO and Board across finance, procurement, operations, commercial and IT.
VolkerWessels Hertfordshire
Lead the data and analytics function for a major civil engineering and construction group, defining strategy and building a modern cloud data ecosystem. The role combines strategic leadership with hands-on technical authority across Microsoft Fabric, Databricks, Power BI, DAX, SQL and ETL pipelines, while establishing data governance and Master Data Management frameworks and developing a high-performing team.
Additional Resources Alloa
Day-to-day you will manage and analyse operational asset data from renewable energy sites, cleaning time-series data and building automated pipelines in Python. You will monitor SCADA telemetry, output, downtime and curtailment, check contractor performance against KPIs, and produce dashboards and reports to support performance decisions.
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.
Gleeson Recruitment Group London £100,000 pa
Own the data strategy, platform and analytics function, managing a small team while staying hands-on with Microsoft Fabric, Databricks and Power BI. Lead data engineering, pipelines, lakes and warehouses, drive advanced analytics, predictive modelling and ML, and champion self-service BI, governance and security while partnering with C-suite stakeholders.
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.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability for a large social housing organisation on a 12-month fixed term contract. Own the data strategy, governance framework, enterprise data architecture and BI/analytics delivery, while managing a data function and advising executive and senior leadership teams. Requires one day per week onsite at the Birmingham head office.
Michael Page Birmingham £85,000 – £95,000 pa
Lead enterprise-wide data and analytics capability on a 12-month fixed term contract, owning the data strategy, governance framework, architecture roadmap and BI services. The role chairs governance forums, oversees cloud data platforms and analytics, and manages a data function while reporting to executive teams. One day per week is required onsite in Birmingham.
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.
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.
