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 frontend tooling and data-intensive interfaces for Palantir Foundry, working with TypeScript, React, GQL and Blueprint to create low-code/no-code WYSIWYG tools. Engineers own APIs and schemas, interview users, and may join a short-term Frontline rotation embedded with customers.

Palantir Technologies · London

Backend engineers on Palantir's infrastructure teams build the lowest layers of the software stack, spanning database technologies, distributed systems, large-scale data, security and application infrastructure. Day-to-day work includes designing opinionated APIs, tracing performance in high-scale microservice architectures, and automating systems like Cassandra, Elasticsearch and Kafka using Java, Rust and Go.

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.