Data Engineering Jobs

Harnham - Data and Analytics Recruitment · London · £150,000 – £180,000 pa

Executive role owning the data vision for a private equity-backed financial services firm, leading a large-scale transformation of its data and analytics function. Responsibilities span reshaping the operating model, building a modern cloud data platform with lake and warehousing capabilities, and driving data engineering, governance and self-service analytics. Also involves applying AI to engineering productivity and improving customer onboarding and personalisation.

Harnham - Data and Analytics Recruitment · London · £50,000 – £55,000 pa

Build and maintain proprietary tools, API integrations and data pipelines that support marketing and analytics teams. Work across JavaScript, TypeScript, Node.js and GCP, with exposure to AI frameworks and automation workflows. Sits at the intersection of software engineering, data and digital marketing, collaborating closely with SEO, paid media and content teams.

Palantir Technologies · London

Builds, operates and maintains high-performance, scalable services across Palantir platforms and government deployments, handling monitoring, configuration management, upgrades and migrations. Combines software development with production ownership, automating manual workflows and troubleshooting complex distributed systems, including an on-call support rotation.

Tenth Revolution Group · Reading · £55,000 – £65,000 pa

Designs and builds scalable cloud data solutions, supporting a migration from a legacy SQL environment to Azure Databricks. Works with Python, PySpark, Delta Lake and Unity Catalog to create pipelines, transformation frameworks and curated data layers, while optimising models for analytics and self-service BI. Involves governance, security and data architecture decisions within a growing data function.

Tenth Revolution Group · West Midlands (Region) · £45,000 pa

Maintains and develops data pipelines and models that support business-critical reporting, ensuring data is accurate, documented and accessible. Works in a small cross-functional team reporting to the Head of IT, partnering with sales, marketing and operations on data questions and quality standards. Uses SQL, Git, dbt, Python and cloud data warehouses.

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.

Palantir Technologies · New York, United States · US$135,000 – US$200,000 pa

Works deep inside the data processing infrastructure behind Palantir Foundry, designing query planning and optimization, extending execution engines, and improving operators, parallelism and memory management. Builds on and extends Apache Spark, DataFusion, Comet, Velox and Iceberg, owning changes from design through production with a high bar for correctness and performance.

Circle Recruitment · Leeds · £100,000 – £120,000 pa

Lead a law firm's enterprise, technology and data architecture, owning principles, standards, roadmaps and design governance. Shape strategy, security and responsible AI adoption while managing Solutions Architects, Consultants and Data Architects, with two days a week in the Leeds office.

Robert Walters · Nottingham · £50,000 – £60,000 pa

Builds and maintains data pipelines, ETL processes and structured data warehouses, integrating information from multiple sources and running strict data quality checks. Works with SQL, Python, Databricks, Azure Data Factory, Logic Apps and Synapse Analytics in a hybrid Nottingham team.

eFinancialCareers · London

Lead the strategy, architecture and hands-on engineering of a cross-asset market data platform spanning crypto and traditional markets, including a central Market Data API, low-latency feed handlers and a firm-wide messaging layer. Manage a small development team while owning vendor relationships, data quality, cost control and regulatory entitlements across a hybrid on-premise and cloud environment.

eFinancialCareers · Belfast

Day-to-day you will run and modernise a hybrid database estate spanning Oracle, MongoDB, IBM Object Store and Snowflake across bare-metal, OpenShift and cloud VMs. The role centres on zero-downtime migrations to AWS, GCP and Snowflake, plus building AI/agentic automation, Terraform and Ansible IaC, and HA/DR frameworks for Citi's global finance platform.

Circle Recruitment · Leeds · £100,000 – £120,000 pa

Lead a law firm's enterprise, technology and data architecture, owning principles, standards, roadmaps and design governance. Shape technology and data strategy, set guardrails for AI adoption, and lead a team of Solutions Architects, Consultants and Data Architects. Hybrid role with two days a week in the Leeds office.

Ashdown Group · London · £120,000 – £150,000 pa

Owns the enterprise data architecture, engineering strategy and cloud data platform, setting the technical roadmap and leading a data engineering function. Drives DataOps, CI/CD, observability and governance while building foundations for AI/ML, vector search and advanced analytics, partnering with Product, Data Science and senior leadership.

Müller UK & Ireland · Droitwich

Develops and supports Operational Technology systems across manufacturing sites, building C#/.NET applications, managing data platforms and historians like AspenTech IP21 and GE Proficy, and maintaining SQL Server databases. Bridges OT and IT by supporting SCADA, iFIX/AVEVA InTouch, Windows Server and Hyper-V infrastructure while working with central IT on networking and cybersecurity governance.

Big Sky Additions · Norwich · £35,000 – £38,000 pa

Hands-on backend role building and maintaining services and RESTful APIs in C# and .NET for a data analytics platform used to access and understand financial information. You'll work in a small team reporting to the CTO, integrating data from multiple sources, optimising SQL queries and improving API performance, reliability and scalability.