Data Engineering Jobs

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

Hands-on data engineering lead designing scalable, AI-ready data platforms and architectures across an investment firm's portfolio. Combines building end-to-end infrastructure in SQL and Python with advising C-suite teams on data strategy, prioritisation and commercial impact, working tech-agnostically across varied environments.

Palantir Technologies · London

Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, working with TypeScript, React and GraphQL. Involves architecting state management and access patterns, owning frontend APIs and schemas, and iterating with users and designers. May include a Frontline rotation embedded with customers.

Palantir Technologies · London

Builds the lowest layers of Palantir's Foundry and Gotham platforms, spanning database technologies, distributed systems, large-scale data, security and application infrastructure. Work includes designing opinionated APIs, tracing performance in high-scale microservice architectures, and automating systems like Cassandra, Elasticsearch and Kafka.

Harnham - Data and Analytics Recruitment · Leeds · £50,000 pa

First dedicated data engineering hire in a growing data function, designing and maintaining scalable ETL/ELT pipelines and integrating internal and external sources including APIs. Builds and optimises data models for analytics and customer insight, working in cloud environments and helping evolve Microsoft Fabric capabilities alongside data science and analytics teams.

eFinancialCareers · London · £55,000 – £65,000 pa

Design, build and maintain ETL/data pipelines and secure cloud-based data platforms using Python and SQL, applying DataOps and DevOps practices. Work with architects, analysts and software engineers on high-impact projects supporting UK national security, covering data modelling, orchestration and governance.

eFinancialCareers · London

Embedded within a hedge fund's investment team, building Python research platforms, simulation and backtesting frameworks, data pipelines and tooling for systematic trading strategies. Works daily with quantitative researchers and portfolio managers to productionise signals and models, with a focus on testing, CI/CD and scalable system design.