Palantir Foundry SME/Lead Data Engineer Location: London with occasional international travel Contract - 6-12 months Inside IR35 Rate: Negotiable DOE Our client is looking for a Palantir Foundry SME, to take ownership of the platform architecture, data modelling standards, pipeline development and integration strategy. You will work closely with stakeholders across business, data, and engineering teams to translate operational problems into scalable Foundry solutions. This is a hands-on engineering role combined with some architectural leadership. Key Responsibilities Design and implement scalable data pipelines within Palantir Foundry Develop and maintain Ontology objects, operational workflows and applications within Foundry Build and optimise data transformations using PySpark, SQL and Python Integrate Foundry with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Implement CI/CD workflows using tools such as Jenkins, GitLab, or GitHub Actions Work with containerised deployments using Docker and orchestration via Kubernetes Implement governance, data lineage, and security best practices Optimise performance, cost and reliability of Foundry pipelines Build operational dashboards and data applications for business users Mentor internal teams and establish platform standards and best practices Act as the senior technical interface with Palantir Essential Experience Proven commercial experience implementing and scaling Palantir Foundry