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.

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.

Palantir Technologies · New York, United States · US$10,000 pm

Forward Deployed Software Engineers embed directly with customers, from factory floors to board rooms, to understand their hardest problems and build data-driven solutions. The role involves architecting custom applications, wrangling massive-scale data, and applying AI to critical operations, with up to 25% travel to client sites.

Syntax Consultancy · Derby · £40,000 pa

Builds and establishes modern data engineering solutions on Microsoft Fabric, working hands-on with OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Notebooks and Eventstreams. Uses SQL, T-SQL, Spark SQL, PySpark and Python for ingestion, transformation, modelling and converting source data into validated Delta tables, plus Power BI for semantic models. Integrates third-party APIs and migrates legacy data platforms, joining an established team with hybrid working.

DCV Technologies · London · £500 – £550 pd

Build and support data pipelines on GCP using BigQuery, Dataflow, Composer/Airflow, Cloud Run and DBT, with SQL and Python/PySpark for engineering and automation. The role sits in a Mobile Frameworks Lab within a major UK bank, focused on understanding customer interactions, and includes production support covering incidents, change requests and problem management.

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.

Michael Page · United Kingdom · £60,000 – £65,000 pa

Designs, builds and maintains scalable Azure data pipelines using Data Factory and Databricks, with SQL, data modelling and Python or Scala. Works with analytics teams to gather requirements, optimise performance, troubleshoot workflows and implement data security and governance. Two 12-month fixed-term roles supporting a not-for-profit's analytics projects.

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 · London · £90,000 – £110,000 pa

Defines and evolves the architecture of a modern cloud-based data platform, providing technical leadership across data platform and engineering teams. Designs scalable, secure data solutions and champions DataOps practices including CI/CD, testing, monitoring and automation, while guiding ETL/ELT implementation and AI-enablement initiatives.

Harnham - Data and Analytics Recruitment · Newcastle upon Tyne · £75,000 – £84,000 pa

Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.

Fort Recruitment · Birkenhead · £50,000 – £55,000 pa

Operates the observability and data infrastructure behind an industrial energy-telemetry platform, covering the full data lifecycle from ingestion and storage to transformation, analysis and visualisation. Builds and maintains ETL/ELT pipelines over time-series and event data, creates dashboards and alerting tools, and integrates platforms with custom software and external APIs. Full training is provided and the employer values engineering judgment over specific prior tooling.

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.

Tenth Revolution Group · Reading · £60,000 pa

Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.