Data Engineering Jobs

Palantir Technologies · Palo Alto, United States · US$145,000 – US$200,000 pa

Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.

Tenth Revolution Group · Cambridge · £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 · Newcastle upon Tyne · £90,000 – £110,000 pa

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

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.

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.

Harnham - Data and Analytics Recruitment · Hounslow · £100,000 – £110,000 pa

Lead enterprise-scale data engineering initiatives, combining hands-on technical leadership with mentoring Data and Senior Data Engineers. Drive design, build and operation of secure, scalable data pipelines and products, define engineering standards and automated testing, and improve platform reliability, observability and cost efficiency. Includes participation in an on-call rota supporting business-critical data products.

Harnham - Data and Analytics Recruitment · London · £110,000 pa

Lead technical direction across a modern cloud data platform built on AWS, Snowflake and dbt, staying hands-on while unblocking engineers on complex issues. Combines mentoring a team of engineers with influencing senior stakeholders and shaping engineering standards in a federated data model.

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.

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.

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.

Additional Resources · Alloa

Day-to-day work centres on managing and analysing operational data from renewable energy assets, including SCADA telemetry, to monitor output, availability, downtime and faults. You will build Python-based models and automated pipelines, create dashboards and reports, and check contractor performance against contractual KPIs. The role also involves troubleshooting data infrastructure such as networks, VPNs and industrial routers.

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.

Adria Solutions · Manchester · £70,000 – £90,000 pa

Hands-on lead role owning an existing data estate and building a modern, scalable platform supporting BI, Data Science and Applied AI. Involves modernising SQL Server, SSIS and Power BI, developing batch and real-time processing, lakehouse architecture on AWS, and line-managing a small team of Data Engineers.

ClickHouse · United Kingdom

Owns the collection, storage and serving of metrics from customer ClickHouse instances, building and operating a petabyte-scale platform that handles trillions of records and millions of events per second. The stack is Golang, Kubernetes and ClickHouse, with work spanning billing data pipelines, customer dashboards, reliability, cost-efficiency and on-call, in a fully remote, globally distributed team.