Data Engineering Jobs

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

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.

Palantir Technologies · New York, United States · US$10,000 pm

Forward Deployed Software Engineers embed directly with customers, from factory floors to board rooms, to understand their hardest problems and build data-driven solutions. The role involves architecting custom applications, wrangling massive-scale data, and applying AI to critical operations, with up to 25% travel to client sites.

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.

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.

Tenth Revolution Group · London · £90,000 – £120,000 pa

Lead the strategy, design and evolution of a large-scale cloud data and integration ecosystem, owning enterprise-wide platform architecture, standards and best practices. Drive modernisation roadmaps across data, integration and platform engineering, designing event-driven and streaming architectures while shaping CI/CD, automation and infrastructure-as-code strategies. Work with senior stakeholders across Azure, AWS or GCP, Snowflake and Kubernetes.

Harnham - Data and Analytics Recruitment · London · £80,000 – £100,000 pa

Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping them in scalable APIs and generating tests and migration tooling. High autonomy with weekly demonstrable output.

Tenth Revolution Group · London · £95,000 – £125,000 pa

Architect and implement Databricks Lakehouse solutions covering ingestion, processing, storage, governance and analytics for enterprise clients. Lead architectural engagements, tune workloads for performance and cost, and build CI/CD pipelines with Databricks Repos, GitHub Actions and Azure DevOps. Work hybrid in London within a consultancy's architecture practice, advising clients on data strategy and governance.

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.

Snowflake · London

Build revenue pipeline by setting and leading discovery calls, qualifying use cases with target personas, and performing account research to grow Snowflake's footprint in EMEA's largest accounts. Work closely with Global Account Managers, Solution Engineers and Marketing on a multi-channel pipeline strategy, attending sales meetings, trainings and local trade shows.

Reed · Edinburgh · £70,000 – £83,500 pa

Lead the creation of an enterprise data architecture practice from scratch, assessing a fragmented data landscape and building a scalable roadmap, models and governance standards. Hands-on role in the Microsoft ecosystem (Azure, Microsoft Fabric), designing pipelines and proof-of-concepts while guiding data engineers and analysts. Works with business and technical stakeholders in a regulated public sector setting.

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.

Wesleyan · Birmingham · £49,800 – £72,000 pa

Lead project data architect role within a four-person data architecture team, ensuring centre-of-excellence objectives run through projects across all business units. Involves designing data architecture, modelling and master data solutions, enabling integration via APIs, GraphQL, JSON and XML, and building cloud-based platforms with Azure, SQL, Python and Databricks.

Amplius · Peterborough · £53,560 pa

Lead enterprise data governance across a large housing provider, chairing the Data & Metrics Council and building a Data Steward Network. Hands-on role covering MDM (matching, survivorship, golden records), data catalogue, glossary, lineage and quality scorecards, plus privacy and audit compliance. Sole owner driving practical implementation rather than policy writing alone.

ITSS Recruitment · Leeds · £70,000 – £85,000 pa

Lead a team of Data Engineers, BI Developers, DBAs and SQL Developers building a central Microsoft data platform. The role blends hands-on engineering, data architecture and strategic decision making, using Microsoft Fabric, Azure, Python, PySpark and SQL Server to deliver business-critical pipelines and integration solutions.

Snowflake · London

Customer-facing pre-sales role working with account sales teams and channel partners to understand customer needs and position a cloud data platform. You run demos, proofs of concept and implementations, present to technical and executive audiences, and build technical champions to drive deals. Involves hands-on work with SQL, modern data tooling and cloud architecture, plus collaboration with product, engineering and partners.