181 jobs
Tenth Revolution Group Glasgow £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 Birmingham £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 and observability, plus shaping data strategy and growing into a leadership position.
Palantir Technologies London
Ensures stability of mission-critical workflows on Palantir's Foundry platform, going on call to resolve incidents before customers are impacted. Uses field learnings to drive product change, build internal tooling and automate manual processes, documenting best practices to raise reliability across the organisation.
Palantir Technologies Washington, United States US$135,000 – US$200,000 pa
Owns reliability and operations for Palantir's government-facing software, deploying products across production environments, managing monitoring, alerting, configuration and upgrades, and debugging large-scale distributed systems. Automates manual workflows and runbooks, develops solutions in Foundry and Apollo, and participates in an on-call support rotation alongside forward deployed and product teams.
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.
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
Lead the design and delivery of a mission-critical risk data platform for a financial markets clearing organisation, building batch-processing services for market and historical time-series data. The role is hands-on, owning architecture, engineering standards and complex technical decisions, with strong Java 11+ (17+ preferred) and Spring Boot skills. Works closely with infrastructure, security, DevOps and Quant Risk teams, including production support and an on-call rota.
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.
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.
