Data Engineering Jobs

Palantir Technologies · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, working on database technologies, distributed systems, large-scale data, security and application infrastructure. Engineers design opinionated APIs, automate systems like Cassandra, Kafka and Kubernetes, and may join a short-term Frontline rotation embedded with customers.

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

Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and a fully featured, infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on product gaps and a long-term tech roadmap, in a PaaS serving US Government customers in sensitive, disconnected, cloud or edge environments.

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.

eFinancialCareers · London

Joining a three-person storage team, you will design, deliver and support all storage and backup systems, ensuring 24x365 availability and capacity. The role uses DevOps and infrastructure-as-code practices with Python, PowerShell, Terraform or Ansible, plus enterprise products such as Pure Storage, Rubrik, VAST and Azure, working closely with server, database and research teams.

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

Builds and evolves APIs powered by Kubernetes controllers, abstracting complex distributed systems so government and vendor developers can deploy microservices into a secure, infrastructure-agnostic runtime. Works with forward-deployed and customer engineers to close product gaps, and champions a long-term roadmap for scalability and reduced operational burden.

Palantir Technologies · New York, United States

Builds the lowest layers of Palantir's Foundry and Gotham platforms, focusing on database technologies, distributed systems, large-scale data, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container scheduling and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.

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

Builds and evolves APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime for hundreds of microservices. Works with forward deployed and customer engineers on a PaaS for US Government customers, shaping the product's early strategy and long-term tech roadmap.

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

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.

eFinancialCareers · London

Partners with portfolio managers, IT and data engineering to assess data needs across equities, FX, rates, fixed income and credit, then sources and evaluates market, reference, pricing and alternative datasets for systematic strategies. Leads complex data projects, compares vendors and negotiates agreements, and advises on data operations such as cost allocation, cataloguing and delivery infrastructure.

eFinancialCareers · London

Lead a data and analytics organisation spanning strategy, governance, business intelligence, data science and experimentation. Owns game economy standards, monetization optimisation, segmentation and pricing, working with Product and Live Operations to grow player lifetime value. Also directs forecasting, machine learning and responsible AI use across the portfolio.

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.