Data Engineering Jobs

Tenth Revolution Group · Reading · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

Tenth Revolution Group · London · £90,000 – £110,000 pa

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and secure data services and APIs that power analytics, machine learning and AI products for enterprise clients. Works across product, engineering, data science and leadership, setting standards for data quality, governance, lineage and observability, with scope to build and lead a wider data function.

Harnham - Data and Analytics Recruitment · Leeds · £50,000 pa

First dedicated data engineering hire in a growing data function, designing and maintaining scalable ETL/ELT pipelines and integrating internal and external sources including APIs. Builds and optimises data models for analytics and customer insight, working in cloud environments and helping evolve Microsoft Fabric capabilities alongside data science and analytics teams.

Palantir Technologies · Palo Alto, United States · US$135,000 – US$145,000 pa

Build, operate and maintain high-performance, scalable services across Palantir platforms and government deployments. Day-to-day work spans monitoring, configuration management, upgrades, migrations, debugging production issues, on-call support, and automating manual workflows using Java, Go, Python or JavaScript.

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

Own and oversee a business-critical enterprise data platform built on Microsoft Azure, acting as technical lead for architecture, scalability, governance and operational excellence. Work with Infrastructure, Security and Architecture teams on CI/CD, automation, monitoring and Infrastructure-as-Code, supporting production and incident management while enabling Data Engineers and shaping platform strategy across Data and AI initiatives.

Databricks · London

Join an engineering team to build features for a data and AI infrastructure platform, owning a project end-to-end from design through code and feedback. Work spans full stack, backend, infrastructure, systems, tools, cloud and databases, with a dedicated mentor and a 12-week summer cohort.

Databricks · United Kingdom

Owns and grows Databricks' public sector business across the Republic of Ireland and Scotland, inheriting an established book of strategic government accounts. Runs a consumption-led sales motion, building an Ireland-wide go-to-market plan, expanding platform usage, and pursuing net-new departments and agencies with cloud and partner co-sell teams.

Snowflake · London

Customer-facing pre-sales role partnering with account sales teams and channel partners to run demos, proofs of concept and technical evaluations of Snowflake's data cloud platform. You'll present to executives and technical audiences, build technical champions, and collaborate with product, engineering and partners, with SQL required and Python, dbt and Spark preferred.

Snowflake · London

Customer-facing technical role partnering with account sales teams and channel partners to run demos, proofs of concept and implementations of a cloud data platform. You translate features into business solutions for technical and executive audiences, build technical champions, and collaborate with product, engineering and marketing. Hands-on SQL work with data architecture and analytics.

TRIA · London · £90,000 – £95,000 pa

Hands-on technical leadership role within a small data engineering squad, setting engineering standards while building scalable pipelines in Python, SQL and Snowflake. Involves data modelling, integrations, performance and reliability work on an Enterprise Data Platform, plus mentoring engineers and shaping architecture with AWS cloud technologies.

Opus Recruitment Solutions · Newcastle upon Tyne · £600 pd

A Data Architect role on a New Style Modernisation project, bridging data stakeholders, theme teams and Dataworks to define data structures, processes and systems. Responsibilities include data modelling, MDM, metadata management, data governance and event-based architecture, ensuring data flows meet National Statistics and auditing requirements. Mostly remote with three to four days a month on-site in Newcastle.

Click Digital · Guildford · £66,000 pa

Lead data engineering for a large organisation, shaping an enterprise-level cloud data platform that supports reporting, advanced analytics and future AI. Design and maintain pipelines, data models and governance controls using SQL, Python, Azure and Databricks, while mentoring an Analytics Engineer and influencing data strategy with senior stakeholders.

CBSbutler Holdings Limited trading as CBSbutler · Telford · £45 – £51 ph

Validates data integrity, accuracy and functionality as HMRC's SAS 9.4 and Viya 3.5 estate migrates to SAS Viya 4 on DPS AWS. Covers test planning, data reconciliation, ETL and pipeline validation, automated validation scripts in SQL, Python or SAS, CI/CD integration and defect management with Jira and Confluence, working alongside data engineers and migration teams.

Opus Recruitment Solutions · London · £60,000 – £65,000 pa

Design, build and optimise scalable data pipelines, platforms and logical/physical data models on cloud-based, enterprise-scale initiatives. Work with technical teams and business stakeholders in agile delivery, embedding data quality and governance while contributing to architecture discussions and technology recommendations.

CBSbutler Holdings Limited trading as CBSbutler · Leeds · £550 – £590 pd

Designs and maintains data models and architecture for an SSO, IAM and Staff Index programme, covering data standards, metadata, governance and lifecycle management. Works with solution architects and business stakeholders on API and microservice-based integration and interoperability across complex systems, with data profiling and reverse engineering of existing models.