105 jobs
Harnham - Data and Analytics Recruitment Leeds £55,000 – £60,000 pa
Builds and maintains data pipelines and scalable models in Snowflake, using dbt, Fivetran and Power BI to support customer and commercial analytics. Works closely with analytics teams and business stakeholders to deliver trusted, accessible data and workflow automation within a growing data function.
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.
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.
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.
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.
Circle Recruitment London £100,000 – £120,000 pa
Lead a law firm's enterprise and data architecture function, owning architecture principles, standards, roadmaps and design governance across technology services and platforms. Shape technology and data strategy, build a well-governed data environment for reporting, insight, compliance and responsible AI adoption, and manage a team of Solutions Architects, Consultants and Data Architects. Hybrid working, two days a week in the London office.
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.
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.
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.
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.
