378 jobs
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
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 performance.
Palantir Technologies London
Backend engineers on Palantir's infrastructure teams build the lowest layers of the software stack, including database technologies, distributed systems, large-scale data systems, security and application infrastructure. Day-to-day work spans high-quality code for Foundry and Gotham, open-source data processing libraries, container orchestration, and opinionated APIs, using Java, Rust, Go, Cassandra, Kafka, Spark and Kubernetes.
eFinancialCareers London
Take end-to-end ownership of a systematic investment firm's data platform, covering ingestion, ETL pipelines, vendor dataset management, storage design and data quality across market, reference and time-series data. Work directly with the CTO, traders and researchers in a small team, moving across the stack into core systems, APIs and research tooling when needed.
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.
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
Contributes high-quality code to the shared infrastructure behind Palantir Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Work includes a Kubernetes-based PaaS, secure fleet-wide deployment tooling and observability systems, in small engineering teams building tools for other developers.
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.
Palantir Technologies London
New-grad engineers contribute production code to the shared infrastructure behind Foundry, Gotham and Apollo, spanning backend, developer, frontend and storage infrastructure. Teams work on a Kubernetes-based PaaS, fleet-wide deployment tooling and observability systems, building tools used by other developers.
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.
eFinancialCareers London
Owns a greenfield Snowflake-based enterprise data platform for a private markets investment firm, covering architecture, ingestion pipelines and governance. Integrates portfolio, fund administration and market data into governed datasets, with hands-on Python, SQL and Azure work alongside senior stakeholders.
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.
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 £84,000 – £126,000 pa
Leads data architecture deliverables for a business area or domain, covering current and target state definitions, data cataloguing, and architecture governance. Ensures projects align with data policies and standards while collaborating with global architects and IT/business stakeholders. Supports foundational capabilities underpinning the Data Platform, Client Lifecycle Program, ECB and BCBS 239 in EMEA.
