134 jobs
Palantir Technologies New York, United States US$145,000 – US$200,000 pa
Owns end-to-end services for deploying and serving ML models across air-gapped government networks, edge nodes, and data-sovereign enterprises with constrained GPUs. Work spans inference engines, GPU scheduling, packaging and deployment pipelines, observability, and integration with Palantir's platform, using Java, Rust, Python, Go, Docker and Kubernetes.
Palantir Technologies Palo Alto, United States US$145,000 – US$200,000 pa
Own end-to-end services for deploying and serving ML models across air-gapped, edge, and data-sovereign environments with constrained GPUs. Work full stack across inference engines, GPU scheduling, Kubernetes packaging, deployment pipelines, and observability, debugging issues in systems you cannot always access directly.
Harnham - Data and Analytics Recruitment Windsor £50,000 – £60,000 pa
Owns end-to-end data science work spanning machine learning, AI, forecasting and business-critical analytics. Builds and optimises data models, scalable pipelines and Power BI dashboards on cloud platforms such as Snowflake, while translating stakeholder requirements into data-driven solutions and presenting findings to technical and non-technical audiences.
Michael Page United Kingdom £60,000 – £65,000 pa
Designs, builds and maintains scalable Azure data pipelines using Data Factory and Databricks, with SQL, data modelling and Python or Scala. Works with analytics teams to gather requirements, optimise performance, troubleshoot workflows and implement data security and governance. Two 12-month fixed-term roles supporting a not-for-profit's analytics projects.
Additional Resources Alloa
Day-to-day work centres on managing and analysing operational data from renewable energy assets, including SCADA telemetry, to monitor output, availability, downtime and faults. You will build Python-based models and automated pipelines, create dashboards and reports, and check contractor performance against contractual KPIs. The role also involves troubleshooting data infrastructure such as networks, VPNs and industrial routers.
Harnham - Data and Analytics Recruitment Newcastle upon Tyne £75,000 – £84,000 pa
Hands-on role supporting, improving and scaling an enterprise Azure-based data platform, ensuring it stays reliable, secure, observable and production-ready. Day to day involves Microsoft Fabric, Azure Databricks, CI/CD, Terraform, monitoring and incident resolution, working closely with Architecture, Security and Infrastructure teams.
Fort Recruitment Birkenhead £50,000 – £55,000 pa
Operates the observability and data infrastructure behind an industrial energy-telemetry platform, covering the full data lifecycle from ingestion and storage to transformation, analysis and visualisation. Builds and maintains ETL/ELT pipelines over time-series and event data, creates dashboards and alerting tools, and integrates platforms with custom software and external APIs. Full training is provided and the employer values engineering judgment over specific prior tooling.
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.
VIQU IT Recruitment London £100,000 – £110,000 pa
Lead large-scale data transformation programmes for an insurance organisation, owning the roadmap from planning through delivery and supporting adoption of an Enterprise Data Platform. Work across business, IT and data teams to define requirements, track value from data and AI initiatives, and manage risks, budgets and governance. Hybrid role with three days per week in a London office.
Gleeson Recruitment Group Coventry £38,000 pa
Build and maintain ETL/data pipelines, improve data quality and deliver reliable reporting and insights for a retail business investing in its data function. Work with Python, SQL and Excel, with data modelling and database design, in a collaborative team. Azure, Power BI and Git/Azure DevOps are nice to have.
Matillion San Francisco, United States 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. Quota-carrying role using MEDDIC or value-selling methods on large enterprise contracts.
Syntax Consultancy Leeds £60,000 – £65,000 pa
Hands-on Data Engineer maintaining production data pipelines on Databricks and AWS, combining L2/L3 production support with engineering work. Responsibilities include incident investigation, root cause analysis, remediation, and performance troubleshooting across Spark, Delta Lake, and AWS services. Part of a large-scale Government project, working primarily from home with occasional Leeds office travel.
Deerfoot Recruitment Solutions Hertfordshire £50,000 – £55,000 pa
Build a new Azure data platform from scratch for a UK group, working end to end from stakeholder requirements through data modelling to pipeline delivery. Develop metadata-driven pipelines in Python and PySpark across Synapse, Data Factory and PostgreSQL, support BI users and join an out-of-hours rota.
Matillion Australia
Customer-embedded delivery role deploying and optimising the Maia Foundation platform for enterprise clients, architecting production-grade integrations and distributed data systems in Python, SQL and APIs. Involves modernising legacy ETL/ELT workflows across AWS/Azure/GCP and Kubernetes, integrating AI APIs, and delivering solutions within 8-12 week Accelerator windows while working directly with customer executives.
