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

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.

eFinancialCareers · London · £1,100 – £1,200 pd

Hands-on KDB+/q engineering role in a front-office technology team supporting electronic trading across Fixed Income markets. You will build real-time pricing, trading and risk applications, maintain data pipelines and APIs, and work directly with traders and quants on high-performance time-series platforms, including production support and releases.

Palantir Technologies · New York, United States · US$110,000 – US$147,000 pa

Ensures stability and reliability of mission-critical workflows built on Palantir software, going on call to resolve incidents before customers are impacted. Uses field learnings to drive product change, shape internal tooling, and automate or streamline workflows, documenting best practices to raise reliability across the organisation.

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

Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates like a hands-on AI startup CTO in small teams, delivering high-stakes projects and feeding field learnings back into the AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.

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.

eFinancialCareers · London · £700 pd

Hands-on role building AI-powered applications, intelligent workflows and machine learning solutions in Python, taking them from concept through to enterprise production deployment. Involves LLMs, agentic frameworks, AI orchestration, model evaluation, testing and monitoring, working with technical teams and business stakeholders to drive AI adoption.

eFinancialCareers · Belfast

Builds and maintains Java/J2EE microservices and RESTful web services for Citi's Risk Data Team within the Institutional Data Platform, working on high-performance data pipelines and aggregation engines. The role involves Core Java multi-threading, Spring Boot, SQL optimisation, CI/CD and code quality tooling, plus leading and mentoring a team of developers. Hybrid working in Belfast with up to two days per week from home.

eFinancialCareers · London · £600 – £700 pd

Shapes future-state architecture across a data platform landscape, leading build vs. buy assessments and providing strategic direction to delivery and technology teams. Supports the transition from current to target-state architecture, resolving conflicts and dependencies while weighing low-code/no-code and AI trends. Requires banking and enterprise data platform expertise.

eFinancialCareers · Belfast · £45,000 – £60,000 pa

Hands-on role building and maintaining ETL/ELT pipelines, data warehouses and data lakes, with a focus on Microsoft Fabric, SQL Server, SSIS and SSRS, plus tools like Fivetran and Alteryx. You'll take ownership of the data engineering function, support data migration from legacy systems and work closely with analysts, scientists and business stakeholders.

eFinancialCareers · Belfast

Lead the design and implementation of data strategies and architectures for the Funds domain, covering fund accounting, ETFs, IBOR and ABOR. The role owns data modelling, governance, lineage and metadata management, and partners with engineering and business stakeholders on regulatory and client reporting. It combines deep funds-industry domain knowledge with hands-on architecture leadership.

eFinancialCareers · London

Designs, builds and optimises scalable Snowflake data solutions for Risk, Finance, Treasury and Regulatory reporting in a financial services environment. Hands-on delivery covers ELT/ETL pipelines, dbt transformation frameworks, Python automation, data modelling and performance tuning, alongside solution architecture and stakeholder workshops.