Palantir Foundry Engineer
We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP).
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138,000+ live jobsProject description
As the Platform Integration Planning & Data Enablement Lead, you will support the Platform Systems Integration function by enabling effective planning, governance and decision-making through robust data management, reporting, automation and process improvement. The role is responsible for centralising planning data, developing automated reporting solutions, and creating actionable management outputs that support programme delivery, resource planning and strategic decision-making. You will act as the central point for planning data and insight - building and maintaining dashboards, automating reporting, and turning complex planning, delivery and resource data into clear, trusted and accessible information for senior stakeholders. This requires a blend of programme planning expertise and hands-on data capability (Tableau, Google BigQuery, Python). Additionally, you will design and maintain data governance standards (quality, traceability, consistency), support operational governance forums through data-driven insights, and drive continuous improvement and reporting automation across planning and operational processes
Responsibilities
Must have
Nice to have
GitHub / Version Control: GitHub and version-controlled development experience (desirable) - supporting adoption of modern development practices, version control for reporting/data scripts and documentation. Integration Knowledge: Understanding of integration, release governance and the engineering delivery lifecycle. Process & Documentation Governance: Familiarity with process authoring and governance discipline (ISO 9001 / QMS alignment). Continuous Improvement Mindset: Ability to propose and implement improvements in planning and reporting processes. Google BigQuery: Experience working with BigQuery (or equivalent cloud data warehouse) for data storage, querying and integration. Python: Programming for automation, reporting and data analysis.
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