236 jobs
Tenth Revolution Group Reading £60,000 pa
Hands-on role building and evolving scalable data pipelines on a Microsoft-based platform, using Databricks, SQL, Python and PySpark. Covers ETL, data integration, transformations, data warehousing and SQL performance, working with technology and business teams to turn requirements into reliable data solutions.
Tenth Revolution Group Oxford £50,000 – £60,000 pa
Hands-on role building and maintaining scalable data pipelines on Databricks, integrating new sources and optimising ETL and transformation processes. You will develop SQL and Python/PySpark transformations, tune queries, stored procedures and database objects, and help mature a modern Microsoft data platform within a Data & Innovation team, contributing to CI/CD and Git practices.
Harnham - Data and Analytics Recruitment Windsor £60,000 pa
Joins a PE-backed business building out its data and analytics function, cleaning and transforming data from multiple sources and maintaining data models in a cloud platform. Builds predictive models for workforce, occupancy and operational forecasting, using Snowflake or Databricks, and deploys and monitors machine learning models while supporting data quality and governance. Works closely with both technical and non-technical stakeholders to deliver reporting and analytical solutions.
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.
Palantir Technologies New York, United States
Builds the tools and interfaces within Palantir Foundry that let users create data-intensive applications, owning APIs, schemas and state management. Works with TypeScript, React, GraphQL and Blueprint, and may join the Frontline program embedding with customers on high-stakes projects.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Builds the lowest layers of Palantir's software stack, contributing high-quality code for database technologies, distributed systems, large-scale data systems, security and application infrastructure. Work spans performant search and indexing, open-source data processing libraries, container orchestration and opinionated APIs, using Java, Rust, Go, Cassandra, Elasticsearch, Kafka and Kubernetes.
eFinancialCareers London
Lead investment performance, attribution, pricing and data management functions while driving modernisation of systems, processes and reporting. Manage established teams, champion automation and AI adoption, and build centralised data platforms, working closely with investment teams and senior stakeholders. Combines performance expertise with a technology and data transformation mandate.
eFinancialCareers London
Take end-to-end ownership of a systematic investment firm's data platform, covering ingestion, ETL pipelines, vendor dataset management, storage design and data quality across market, reference and time-series data. Work directly with the CTO, traders and researchers in a small team, moving across the stack into core systems, APIs and research tooling when needed.
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.
Harnham - Data and Analytics Recruitment London £90,000 – £100,000 pa
Design, build and own end-to-end data pipelines for real-time and batch analytics on high-volume, low-latency use cases. Work with Python, SQL, PySpark, AWS (S3, Glue, EKS), Snowflake, dbt, Iceberg and Dagster/Airflow, applying software engineering practices like CI/CD, testing and version control. Collaborate with analytics, product and engineering teams in a fully remote UK/Europe team.
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
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
Lead a data and analytics organisation spanning strategy, governance, business intelligence, data science and experimentation. Owns game economy standards, monetization optimisation, segmentation and pricing, working with Product and Live Operations to grow player lifetime value. Also directs forecasting, machine learning and responsible AI use across the portfolio.
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.
