Data Engineering Jobs

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.

Harnham - Data and Analytics Recruitment · Leeds · £55,000 – £60,000 pa

Builds and maintains data pipelines and scalable models in Snowflake, using dbt, Fivetran and Power BI to support customer and commercial analytics. Works closely with analytics teams and business stakeholders to deliver trusted, accessible data and workflow automation within a growing data function.

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.

Noir · Newcastle upon Tyne · £45,000 – £80,000 pa

Builds and optimises high-quality data pipelines processing large volumes from internal and external sources, and helps maintain a central data platform supporting investment decision-making. Works closely with business stakeholders on how data is accessed, tested and leveraged, using SQL, Python, AWS, Git and Airflow. Requires direct hedge fund sector experience.

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.

Interface Recruitment · Leeds

Lead the design, build and optimisation of scalable data pipelines and platforms supporting analytics, reporting, AI and machine learning in a regulated asset management environment. Sets data engineering standards, mentors engineers, and ensures solutions meet security, governance, quality and resilience requirements while partnering with risk, technology and business teams.

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.

Cathcart Technology · Edinburgh · £500 – £525 pd

Owns the end-to-end data architecture for a major ERP transformation, leading migration design, governance, master data and reporting while challenging vendor designs. Works with senior tech leaders and implementation partners from build through to go-live, requiring deep ERP data migration and MDM expertise.

Exalto Consulting · Bradford

Design and build end-to-end ETL/ELT solutions on Microsoft Fabric, including Dataflow Gen2 pipelines, Fabric Notebooks and Lakehouse with Medallion architecture. Work with SQL, Python, Spark SQL and Delta Lake, integrating APIs, databases, CRM and ERP sources, plus CI/CD, monitoring and data quality. Collaborate with Data Architects and BI teams on a modern platform supporting analytics, AI and operational use cases.

Dns Info Ltd · London · £350 – £450 pd

Day-to-day work centres on designing and maintaining data warehousing and data modelling solutions — star, snowflake and data vault patterns — plus producing data dictionaries and models managed through Bitbucket and Liquibase deployments. The role sits with a banking and trade management focus, covering vanilla macro, credit and securitisation products, and requires AI-driven development alongside Sybase, Oracle, Postgres, some Python and basic AWS.

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.

Palantir Technologies · London

Backend engineers on Palantir's infrastructure teams build the lowest layers of the software stack, including database technologies, distributed systems, large-scale data systems, security and application infrastructure. Day-to-day work spans high-quality code for Foundry and Gotham, open-source data processing libraries, container orchestration, and opinionated APIs, using Java, Rust, Go, Cassandra, Kafka, Spark and Kubernetes.

R3vamp · Milton Keynes · £65,000 – £75,000 pa

You'll lead the Data & MI team and own the organisation's Business Intelligence capability, driving the migration from legacy Cognos reporting to a modern Microsoft Azure environment. The role combines hands-on work with Power BI, Azure Data Lake, Databricks and SQL with data governance, mentoring and translating business requirements into insight for Finance and senior stakeholders.

Intec Select · London · £94,000 pa

Senior strategic role leading data linkage, data architecture and digital technology initiatives across the UK health data ecosystem. Involves evaluating emerging technologies, shaping technical standards and investment priorities, and building partnerships with research, government and funding bodies. Combines technical leadership with external representation and matrix management of multidisciplinary programmes.