132 jobs
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Builds a modern analytics capability from the ground up, designing scalable data models in a cloud platform and improving data quality, standardisation and reconciliation across fragmented source systems. Develops forecasting, machine learning and predictive models, supports AI document processing, and creates Power BI dashboards for senior leadership, working with Snowflake in a small collaborative team.
Harnham - Data and Analytics Recruitment London £50,000 – £60,000 pa
Builds and maintains scalable data pipelines using Azure Data Factory and Databricks, integrating data from finance, HR and operational systems. Develops a lakehouse architecture with Kimball and star-schema models, and supports the Power BI reporting layer including semantic models and DAX. Joins an early-stage data function, shaping standards and working closely with business stakeholders.
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.
Palantir Technologies Honolulu, United States US$135,000 – US$200,000 pa
Builds, operates and maintains high-performance, scalable services across Palantir platforms and government deployments, handling monitoring, configuration management, upgrades and migrations. Combines software development with production ownership, automating manual workflows and troubleshooting issues on an on-call rotation, using Java, Go, Python or similar and Foundry/Apollo tooling.
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
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.
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 £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 £84,000 – £126,000 pa
Leads data architecture deliverables for a business area or domain, covering current and target state definitions, data cataloguing, modelling, and architecture governance. Drives adoption of data policies and standards across EMEA and globally, collaborating with IT and business stakeholders and aligning with programmes such as the Data Platform and BCBS 239.
eFinancialCareers London £140,000 pa
Lead the design, development and evolution of an enterprise data platform across a modern Azure and Snowflake environment. Direct teams spanning platform engineering, quality and governance, shaping the roadmap and driving both strategic change and BAU. Focus on engineering standards, DataOps, CI/CD, platform optimisation and cost control while partnering with senior stakeholders.
