Data Engineering Jobs

Opus Recruitment Solutions · Liverpool · £400 – £500 pd

Hands-on role migrating an established reporting estate into a modern Microsoft Fabric environment, covering data ingestion pipelines, data modelling and semantic layer design. You will also build Power BI reports, optimise SQL and ETL processes, and coach analysts and report developers on new tools and best practices.

ClickHouse · United Kingdom

Conduct applied research on open-source database systems like ClickHouse and PostgreSQL, focusing on query optimization, execution engines, distributed systems, indexing, and emerging agentic workloads. Design and evaluate new algorithms and prototypes, analyze production workloads, and work with engineers to ship improvements, with encouragement to publish at venues such as SIGMOD and VLDB.

Palantir Technologies · Washington, United States · US$145,000 – US$200,000 pa

Owns model-serving infrastructure end-to-end, building high-performance inference systems that run across air-gapped government networks, edge nodes and data-sovereign enterprises. Works across the full stack from GPU scheduling and container orchestration to deployment pipelines and observability, using Java, Rust, Python and Go with Docker and Kubernetes.

Palantir Technologies · New York, 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 with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.

Real · Berkshire · £500 pd

Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.

Matchtech · Surrey · £50,000 – £75,000 pa

Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.

Michael Page · United Kingdom · £60,000 – £65,000 pa

Designs, builds and maintains scalable Azure data pipelines using Data Factory and Databricks, with SQL, data modelling and Python or Scala. Works with analytics teams to gather requirements, optimise performance, troubleshoot workflows and implement data security and governance. Two 12-month fixed-term roles supporting a not-for-profit's analytics projects.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Fort Recruitment · Birkenhead · £50,000 – £55,000 pa

Operates the observability and data infrastructure behind an industrial energy-telemetry platform, covering the full data lifecycle from ingestion and storage to transformation, analysis and visualisation. Builds and maintains ETL/ELT pipelines over time-series and event data, creates dashboards and alerting tools, and integrates platforms with custom software and external APIs. Full training is provided and the employer values engineering judgment over specific prior tooling.

Harnham - Data and Analytics Recruitment · London · £75,000 – £90,000 pa

Builds and optimises automated email journeys, remarketing campaigns and conversion tracking for a growing InsurTech business. Works hands-on with JavaScript/Node.js, SQL, BigQuery, Salesforce and AWS to create audiences, API integrations and reliable marketing automations, translating commercial requirements into technical solutions alongside marketing and engineering.

Tenth Revolution Group · Reading · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.

Gleeson Recruitment Group · Coventry · £38,000 pa

Build and maintain ETL/data pipelines, improve data quality and deliver reliable reporting and insights for a retail business investing in its data function. Work with Python, SQL and Excel, with data modelling and database design, in a collaborative team. Azure, Power BI and Git/Azure DevOps are nice to have.

Syntax Consultancy · Leeds · £60,000 – £65,000 pa

Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.

Deerfoot Recruitment Solutions · Hertfordshire · £50,000 – £55,000 pa

Build a new Azure data platform from scratch for a UK group, working end to end from stakeholder requirements through data modelling to pipeline delivery. Develop metadata-driven pipelines in Python and PySpark across Synapse, Data Factory and PostgreSQL, support BI users and join an out-of-hours rota.

Intec Select · London · £80,000 – £90,000 pa

Analyse, design and implement enhancements to financial crime and surveillance platforms including transaction monitoring, sanctions screening and market surveillance. Hands-on Python, PowerShell, .NET and Power BI work, plus data engineering with Snowflake, SQL, MongoDB and Kafka, root cause analysis, audit support and ML model tuning within a bank's compliance technology team.