Data Engineering Jobs

Palantir Technologies · Laurel, United States · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to design and build end-to-end solutions, moving from ambiguous problem statements through system design, prototyping, application development and data integration. Work spans Palantir platforms, open source tooling and custom builds using Java, Python, TypeScript/React, Spark and AWS, with frequent on-site customer collaboration.

Palantir Technologies · Kitsap, WA · US$135,000 – US$200,000 pa

Forward Deployed Software Engineers embed with government customers to scope and build data-driven solutions, often starting from open-ended operational questions. The role spans architecture discussions, large-scale data wrangling, custom web app coding and executive briefings, with end-to-end ownership in small, lightly supervised teams.

Harnham - Data and Analytics Recruitment · Windsor · £60,000 pa

Joins a PE-backed business building out its data and analytics function, cleaning and transforming data from multiple sources and maintaining data models in a cloud platform. Builds predictive models for workforce, occupancy and operational forecasting, using Snowflake or Databricks, and deploys and monitors machine learning models while supporting data quality and governance. Works closely with both technical and non-technical stakeholders to deliver reporting and analytical solutions.

eFinancialCareers · London

Take end-to-end ownership of a systematic investment firm's data platform, covering ingestion, ETL pipelines, vendor dataset management, storage design and data quality across market, reference and time-series data. Work directly with the CTO, traders and researchers in a small team, moving across the stack into core systems, APIs and research tooling when needed.

eFinancialCareers · London

First-line support for a high frequency trading environment, acting as the point of contact for traders, researchers and internal users. The role blends hands-on engineering with operations: resolving user issues, addressing data quality concerns, managing vendor relationships and alerts, integrating new datasets, configuring quality controls and keeping pipelines and APIs robust, scalable and production-ready. Sits within a London-based Global Data Engineering team supporting trading, with a strong Python and data modelling focus.

Palantir Technologies · London

Works deep inside the data processing infrastructure behind Palantir Foundry, designing query planning and optimization, extending execution engines, and improving operators, parallelism and memory management. Builds on and extends Apache Spark, DataFusion, Comet, Velox and Iceberg, owning changes from design through production with a high bar for correctness and predictable performance.

Palantir Technologies · London

New-grad engineers contribute production code to the shared infrastructure behind Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Teams work on a Kubernetes-based PaaS, fleet-wide deployment tooling and observability systems, building tools used by other developers.