Data Engineering Jobs

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.

Databricks · London

Founding backend engineer role building the Lakebase managed Postgres transactional layer, spanning control plane, proxy data path, and platform reliability. Work covers large-scale distributed systems, high-throughput connection handling, and AI-powered automation to meet SLIs and SLOs across AWS, GCS, and Azure storage.

Palantir Technologies · London

Works deep inside the data processing infrastructure behind Palantir Foundry, on how computations are represented, query plans optimised, operators executed, and data read and written efficiently. Builds on and extends Apache Spark, DataFusion and Iceberg, taking on production problems such as writing planning rules or speeding up large table scans through design, code review, testing and release.

hireful · Bristol · £80,000 – £90,000 pa

Owns the design and build of scalable data pipelines and data products on Databricks using PySpark, Spark SQL and Delta Lake, plus ETL/ELT optimisation and enterprise data architecture. Works with Finance, Product, Sales, Marketing and Engineering stakeholders to enable trusted self-service data, and mentors a junior engineer in a small, high-impact team.

Palantir Technologies · London · US$10,500 pm

Works deep inside the data processing infrastructure behind Foundry, covering query plan optimisation, execution operators, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, with work spanning design, code review, testing, and release. An internship aimed at students graduating in 2028.

Nurseplus · Nottingham

Own the cloud data environment, pipelines and architecture, working with a Lead Technology Architect to build scalable storage, automated ETL/ELT integrations and layered data models. Also covers database performance tuning, data governance, security, BI semantic models and API development, with a remote-first pattern and occasional on-site collaboration.

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.

Circle Recruitment · Dudley · £65,000 – £85,000 pa

Technical owner of a Microsoft Fabric data platform, building and maintaining data pipelines, ETL/ELT processes and integrations from APIs, flat files and ERP systems. Works with Finance, Commercial and BI teams to shape data architecture during a major Fabric migration, with Databricks, Azure data lakes and warehousing in the stack.

Tenth Revolution Group · London · £75,000 – £105,000 pa

Design, build and deploy production-grade LLM and Generative AI applications, including RAG solutions, scalable data pipelines and AI-powered services for enterprise clients. The role blends software and data engineering with modern AI platforms, plus deployment, monitoring and optimisation of live systems, in a fully remote team of engineers, architects and AI specialists.

ISR Recruitment · United Kingdom · £475 – £525 pd

Hands-on engineering and architecture role designing and building an open-source, cloud-agnostic data transformation layer for a national data exchange platform. Day to day involves building Apache NiFi flows, developing RDF/SPARQL pipelines and supporting components in Python and Java, plus automated testing, monitoring and secure integrations. Distinct for combining reusable pipeline architecture with semantic data modelling for a central government client.

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

Lead the development of a greenfield AWS capability while supporting an existing Azure estate, acting as the AWS subject matter expert. Hands-on work spans architecture, Landing Zones, governance, Terraform IaC, CI/CD pipelines with GitHub Actions and Azure DevOps, plus automation, security and mentoring junior engineers.

Deerfoot Recruitment Solutions · United Kingdom · £90,000 – £115,000 pa

Designs and delivers secure, scalable cloud-native data platforms across AWS, Azure and GCP for enterprise clients, leading migrations to Snowflake, Databricks, BigQuery, Synapse and Redshift. Builds PoCs and MVPs for AI and advanced analytics, automates infrastructure with Terraform and CI/CD, and advises senior stakeholders on data strategy, Data Mesh and Data Fabric architecture.

Harnham - Data and Analytics Recruitment · London · £100,000 – £120,000 pa

Own the design, build and delivery of a modern enterprise cloud data platform for a large UK financial services organisation, leading migration off legacy environments. Responsibilities span platform strategy and architecture, building and scaling a data engineering function, supplier management, and embedding governance, security and data quality standards in a regulated setting.

Matillion · Hyderabad, India

You'll work in a small cross-functional team writing, testing and releasing new features and fixing problems across Matillion's data automation products, from design through CI/CD deployment to ongoing production support. The stack spans Java, Spring microservices, React, GraphQL, Docker, Kubernetes and AWS, with code reviews, research projects and mentoring built into the role.

Tenth Revolution Group · London · £70,000 – £85,000 pa

Builds and maintains scalable data pipelines in Databricks, developing batch and streaming workflows and designing Lakehouse architectures with medallion models. Works alongside data scientists, analysts and product teams in a cloud-first Azure environment, implementing data quality, governance and observability frameworks while driving engineering best practice through code reviews.