120 jobs
Palantir Technologies London US$10,500 pm
Works deep inside the data processing infrastructure behind Foundry, covering query plan optimisation, execution operators, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, with work spanning design, code review, testing, and release. An internship aimed at students graduating in 2028.
Palantir Technologies New York, United States US$10,500 pm
Works deep inside the data processing infrastructure behind Palantir Foundry, covering query plan optimization, operator execution, and efficient data reads and writes. Extends open-source engines and table formats such as Apache Spark, DataFusion, and Iceberg, shipping changes through design, code review, testing, and release. An internship for candidates graduating in 2028.
Matillion East Coast USA US$107,500 – US$150,000 pa
Own the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partner with SDRs, marketing and channel allies on territory strategy, and work cross-functionally with product and solution architecture. Quotas exceed $1M ARR with MEDDIC or value-selling methods.
Matillion East Coast USA US$107,500 – US$150,000 pa
Owns the full enterprise sales cycle for an AI data automation platform, from self-sourced pipeline through six-figure closes. Partners with SDRs, marketing and channel allies on territory strategy, and works cross-functionally with product and solution architecture. Requires MEDDIC-style methodology and large enterprise contract experience.
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.
Tenth Revolution Group London £50,000 – £60,000 pa
Builds and leads production-grade Snowflake solutions in cloud environments, working hands-on with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables. The role sits in a consulting transformation practice, combining strong SQL and Python engineering with CI/CD, Terraform, automated testing and data observability, plus stakeholder engagement to deliver governed, AI-ready data.
Tenth Revolution Group Manchester £55,000 pa
Design, build and optimise scalable data pipelines and platforms supporting business-wide analytics and reporting. Join a growing data function at the start of a greenfield transformation, establishing best practices and modern architecture using PySpark, SQL, Microsoft Fabric, Delta Lake and Lakehouse. High autonomy and direct exposure to senior leadership.
eFinancialCareers London £55,000 – £65,000 pa
Design, build and maintain ETL/data pipelines and secure cloud-based data platforms using Python and SQL, applying DataOps and DevOps practices. Work with architects, analysts and software engineers on high-impact projects supporting UK national security, covering data modelling, orchestration and governance.
Protein Works Liverpool
Own the transformation layer in Dataform end to end, building models, tests and documentation between raw BigQuery data and business reporting. Build the semantic layer giving revenue, margin, customer and order one shared definition, and own Looker Studio reporting from executive dashboards to self-serve datasets. One of two engineering hires into the BI team, shaping safe self-serve AI analytics.
ARC IT Recruitment London £40,000 – £48,000 pa
Sits in the IT Business Applications team supporting well-known vendor platforms for a private equity business, handling 1st and 2nd line support, incident resolution and escalations. Runs ITIL incident, problem, change and release management in ServiceNow, working with vendors, developers and an outsourced infrastructure provider. Also involved in an upcoming roadmap covering AI tools and a new data platform.
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 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.
