Data Engineer – Palantir Foundry

• Our client is looking for highly experienced and motivated Data Engineers to join our team. This role is ideal for someone with a strong PySpark, Python, and SQL background and deep expertise in Palantir’s Foundry data platform.
• You will be responsible for designing, developing, and optimizing scalable data pipelines to support critical business operations and analytics.

• Develop and maintain robust data pipelines using Palantir Foundry.
• Ingest data from diverse sources (on-premises, cloud, REST APIs, files) into Foundry via Magritte.
• Author and optimize SQL queries for relational databases.
• Prepare, wrangle, visualize, and report data using Foundry tools (Code Workbook, Contour, Fusion, Spreadsheet).
• Troubleshoot and resolve pipeline-related issues to ensure performance and scalability.
• Collaborate with business analysts and subject matter experts to scope and analyse new integration use cases.
• Design data models and perform data cleansing and transformation.
• Build and manage product backlogs and user stories aligned with agile methodologies.
• Create and manage project deliverables across the application development lifecycle.

• Foundry Certified
• 5+ years of hands-on experience in data engineering with PySpark and Python.
• Strong understanding of Palantir Foundry’s architecture and development tools.
• Proficiency in SQL and relational database management.
• Experience with ingesting data via Magritte and optimising large-scale pipelines.
• Familiarity with agile project methodologies and backlog management.
• Excellent problem-solving skills and ability to work cross-functionally.

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