Data Engineering Jobs

ClickHouse · United Kingdom

Conduct applied research on open-source database systems like ClickHouse and PostgreSQL, focusing on query optimization, execution engines, distributed systems, indexing, and emerging agentic workloads. Design and evaluate new algorithms and prototypes, analyze production workloads, and work with engineers to ship improvements, with encouragement to publish at venues such as SIGMOD and VLDB.

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

Owns model-serving infrastructure end-to-end, building high-performance inference systems that run across air-gapped government networks, edge nodes and data-sovereign enterprises. Works across the full stack from GPU scheduling and container orchestration to deployment pipelines and observability, using Java, Rust, Python and Go with Docker and Kubernetes.

Palantir Technologies · New York, United States · US$145,000 – US$200,000 pa

Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.

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.

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

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

Tenth Revolution Group · London · £75,000 – £110,000 pa

Lead customer-facing Microsoft Fabric and Azure Data Platform engagements, running discovery workshops, shaping data strategy and designing modern Lakehouse architectures. Combines technical leadership, pre-sales input and mentoring of consultants within a growing Data & AI practice, while remaining hands-on with SQL, Python and tools like Data Factory and Synapse.

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.

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.

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.

VIQU IT Recruitment · London · £100,000 – £110,000 pa

Lead large-scale data transformation programmes for an insurance organisation, owning the roadmap from planning through delivery and supporting adoption of an Enterprise Data Platform. Work across business, IT and data teams to define requirements, track value from data and AI initiatives, and manage risks, budgets and governance. Hybrid role with three days per week in a London office.