198 jobs
Tenth Revolution Group Reading £90,000 – £110,000 pa
Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.
Tenth Revolution Group London £70,000 – £80,000 pa
Leads analytics workstreams within enterprise data and transformation programmes, managing teams of Data Analysts, Analytics Engineers and Data Engineers. Defines delivery, governance and quality standards, partners with senior stakeholders, and contributes to bids and pre-sales. Requires strong SQL and Python plus Fabric, Databricks or Snowflake experience.
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.
Palantir Technologies Washington, United States US$135,000 – US$200,000 pa
Forward Deployed Software Engineers embed directly with federal health and civilian agency customers, rapidly diagnosing hard problems and building end-to-end solutions. Work spans whiteboarding architecture, data pipelines, operational workflows, AI agent deployment, and advising executives, often within small high-ownership teams. Technologies include Python, Java, TypeScript/React, Spark, and AWS.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Forward Deployed Software Engineers embed with federal health and civilian agency customers to solve open-ended, high-stakes problems, owning projects end to end like a startup CTO. Work spans whiteboarding architecture, building data pipelines and operational workflows, deploying AI agents, and advising executives, using Java, Python, TypeScript/React, Spark, and AWS.
Harnham - Data and Analytics Recruitment London £90,000 – £100,000 pa
Leads the data and insights function across a complex operational environment, owning strategy, measurement frameworks, scorecards and experiments. Manages and coaches a team of analysts while acting as senior analytical partner to leadership, driving standards and championing responsible AI and automation. Requires strong SQL, cloud warehousing and modern tooling such as BigQuery, dbt, Airflow and Looker/Tableau.
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 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.
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.
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.
