Data Engineering Jobs

Opus Recruitment Solutions · Liverpool · £400 – £500 pd

Hands-on role migrating an established reporting estate into a modern Microsoft Fabric environment, covering data ingestion pipelines, data modelling and semantic layer design. You will also build Power BI reports, optimise SQL and ETL processes, and coach analysts and report developers on new tools and best practices.

Amtis Professional · Birmingham · £40,000 – £45,000 pa

Builds and develops a central data platform supporting reporting, analytics and emerging AI use cases. Covers the full data lifecycle: ingesting from internal and external sources and APIs, ETL/ELT transformation, data modelling and database design, plus Power BI dashboards. Works in a Microsoft Fabric/Azure stack with SQL, Python and Git in a collaborative team.

Siamo Recruitment a division of Siamo Group · Cirencester · £35,000 – £36,000 pa

Lead the design, maintenance and optimisation of a college's database infrastructure, building and managing ETL processes, system integrations and data flows while monitoring performance, security and integrity. Work on site within a multi-skilled IT team of 450 staff, supported by the Head of IT and a third-party database consultant, ensuring GDPR and data governance compliance.

Vaerdi Recruitment Limited · London · £750 pd

Hands-on lead architecture role shaping data architecture for a major financial services technology programme. Involves designing scalable, distributed data solutions, developing complex data models, and applying Domain-Driven Design, with heavy use of NoSQL technologies, particularly Cassandra. Provides architectural direction while remaining technically hands-on, working closely with technical teams.

Socium Recruitment · Manchester · £90,000 – £100,000 pa

Owns the data engineering strategy, architecture and roadmap for an established online business, leading a team of ten through a migration from on-prem SQL to Azure. Sets engineering standards across data modelling, pipelines, governance and automated deployments, and makes the calls on tooling, budget and suppliers while reporting into the C-suite. Microsoft Fabric adoption and practical AI use are open questions the role holder will shape.

Head Resourcing · Falkirk · £60,000 – £70,000 pa

Leads data modelling, transformation and governance to turn data into trusted insights for operational and commercial decisions. Builds scalable data solutions using SQL, dbt, Power BI semantic models and a modern cloud platform such as Databricks, while managing stakeholder and vendor relationships to support a five-year data plan.

Palantir Technologies · New York, United States · US$145,000 – US$155,000 pa

Works deep inside the data processing infrastructure behind Palantir Foundry, covering query plan optimization, operator execution, and efficient data reads and writes. Extends open-source engines and table formats including Apache Spark, DataFusion, and Iceberg, taking changes through design, code review, testing, and release. Correctness, compatibility, and predictable performance are central to the work.

Palantir Technologies · New York, United States · US$100,000 – US$145,000 pa

Builds and maintains data pipelines, reporting datasets and dashboards that support Recruiting and Hiring Operations, integrating systems such as Lever, Workday and Foundry. Works cross-functionally with recruiters, data, security and privacy partners, moving between pipeline work, integration debugging, documentation and stakeholder enablement.

WeDoTech · London · £100,000 – £140,000 pa

Hands-on Staff-level role leading a large-scale data engineering modernisation, migrating thousands of pipelines across AWS. You'll stay deeply technical in Python, PySpark and Spark, shape scalable frameworks and standards, and champion AI-assisted development across multiple engineering teams.

WeDoTech · London · £800 – £1,000 pd

A hands-on Staff-level role leading a major data estate modernisation for a UK financial services organisation, migrating large-scale pipelines and building new data products. You will shape architecture and engineering patterns while remaining deeply involved in Python, PySpark, Spark, AWS Glue and Airflow, and champion AI-assisted development across multiple teams.

Harnham - Data and Analytics Recruitment · Nottingham · £60,000 – £65,000 pa

Builds and scales a Microsoft Fabric data platform as the central source of truth for reporting and analytics. Develops Bronze, Silver and Gold architectures, integrates data into Lakehouse environments, and creates pipelines with Python, SQL and PySpark. Works with a Lead Data Engineer and a team spanning engineering, governance and analytics.

Harnham - Data and Analytics Recruitment · Abingdon · US$200,000 – US$225,000 pa

Builds scalable data platforms, pipelines and ML infrastructure, and deploys production AI solutions including LLMs, RAG systems and AI agents. Works in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Rise Technical Recruitment · London · £35,000 – £50,000 pa

Hands-on role developing and maintaining software with Python, Go and TypeScript, processing and validating live and historical sports datasets, and supporting AWS cloud infrastructure and production systems. Works closely with experienced engineers on SQL databases, troubleshooting and technical projects within the sports and betting sector.

Real · Berkshire · £500 pd

Hands-on Data Engineer to design and build pipelines and data models on a greenfield Microsoft Fabric platform, supporting the end-to-end implementation of a new enterprise data environment. Involves shaping architecture, integration processes and best practice while working closely with business and technical stakeholders.

Matchtech · Surrey · £50,000 – £75,000 pa

Design, build and run scalable batch and streaming data pipelines and data models that turn complex sensor and geospatial sources into reliable datasets for analytics and machine learning. Work across Azure plus edge and on-prem deployments with data scientists, analysts and platform engineers in a Kanban team, supporting embeddings and LLM-enabled conversational analytics.