Data Engineering Jobs

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

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

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.

Palantir Technologies · London

Build, operate and maintain high-performance, scalable services across Palantir's platforms and government deployments, handling monitoring, configuration management, upgrades and migrations. Debug and optimise production infrastructure, automate manual workflows, and share on-call responsibility for critical systems, coding in Java, Python, Go or similar.

Harnham - Data and Analytics Recruitment · London · £65,000 – £75,000 pa

Technical lead for a modern cloud data platform at a major cultural organisation, designing and building a Microsoft Fabric Lakehouse with Medallion-architecture pipelines and semantic layers. Defines engineering standards and governance, mentors a small data engineering team, and partners with stakeholders to enable Power BI analytics and future AI initiatives.

Tenth Revolution Group · London · £50,000 – £60,000 pa

Builds and leads production-grade Snowflake solutions in cloud environments, working hands-on with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. The role sits in a consulting transformation practice, combining strong SQL and Python engineering with CI/CD, Terraform, automated testing and data observability, plus stakeholder engagement to deliver governed, AI-ready data.

Tenth Revolution Group · London · £85,000 – £115,000 pa

Lead architecture and technical strategy for enterprise-scale Databricks programmes, designing Lakehouse solutions on Azure and overseeing engineering delivery, quality and governance. The role combines hands-on Databricks expertise with mentoring data engineers and shaping roadmaps with senior stakeholders, spanning analytics, ML and GenAI workloads.

ARC IT Recruitment · London · £40,000 – £48,000 pa

Sits in the IT Business Applications team supporting well-known vendor platforms for a private equity business, handling 1st and 2nd line support, incident resolution and escalations. Runs ITIL incident, problem, change and release management in ServiceNow, working with vendors, developers and an outsourced infrastructure provider. Also involved in an upcoming roadmap covering AI tools and a new data platform.

eFinancialCareers · London

Designs, builds and optimises a petabyte-scale data platform and Data Lake using cloud-native AWS tooling such as S3, EKS, Glue, Airflow, Trino, Parquet and Redshift, with Apache Iceberg adoption planned. The role sits in a flat-structured Data Services team supporting trading users, combining data engineering, DevOps and CI/CD automation on Linux/Unix infrastructure.

R3vamp · Milton Keynes

Lead the Data & MI team while owning the organisation's Business Intelligence capability, driving the migration from legacy Cognos reporting to a modern Microsoft Azure environment. Act as Enterprise Data Owner, embedding data governance and improving data quality, and translate business requirements into insight using Power BI, Azure Data Lake, Databricks and SQL. The role combines hands-on delivery with mentoring and stakeholder work across Finance, IT and Data Engineering.

eFinancialCareers · Belfast

Lead the design and implementation of data strategies and architectures for the Funds domain, covering fund accounting, ETFs, IBOR and ABOR. The role owns data modelling, governance, lineage and metadata management, and partners with engineering and business stakeholders on regulatory and client reporting. It combines deep funds-industry domain knowledge with hands-on architecture leadership.