Data Engineering Jobs

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

Owns reliability and operations for Palantir's production software and infrastructure, handling monitoring, alerting, configuration management, upgrades and deployments across many environments. Automates manual workflows and runbooks, debugs and optimises large-scale distributed systems, and participates in an on-call support rotation. Works closely with forward deployed and product teams on systems design, using Java, Go, Python, JavaScript and LLM/AI tooling.

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.

Matillion · Manchester · £76,000 – £114,000 pa

Owns a core area of an AI agent for data engineering end to end, defining problems, prioritising trade-offs and driving measurable impact. Builds evals to hold agentic behaviour to a high bar, reasons with Engineering about models, context, MCP and orchestration, and partners with Design and GTM. Uses AI tools actively across research, synthesis, prototyping and analysis.

eFinancialCareers · London

Designs, builds and optimises a petabyte-scale data platform and Data Lake using cloud-native AWS tooling such as S3, EKS, Glue, Airflow, Trino, Parquet and Redshift, with Apache Iceberg adoption planned. The role sits in a flat-structured Data Services team supporting trading users, combining data engineering, DevOps and CI/CD automation on Linux/Unix infrastructure.

eFinancialCareers · London · £70,000 – £106,000 pa

Designs and builds a greenfield data platform in a hybrid Azure and on-prem environment, creating pipelines, ETL processes and data models while migrating legacy capability. Works within a circa 100-person EMEA Data & Analytics Technology team, mentoring peers and aligning delivery to platform strategy. Requires at least two days a week in the London office.

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 · 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 · London · £90,000 – £115,000 pa

Lead data architecture across complex client transformation programmes, covering data modelling, flows, migration, governance and modern cloud data platforms. Provide technical leadership, assurance and technology selection guidance while mentoring junior architects. Remote-first UK role in a growing Data & AI consultancy practice, with public sector or healthcare experience valued.

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.