Data Engineer (Palantir)

About the role

Join SII Switzerland as a Data Engineer working directly within Palantir Foundry. You will design, build, and maintain scalable data pipelines that support analysts and business users across the organization.

Key responsibilities

• Develop and scale ETL/ELT pipelines in Foundry using Code Repositories and Pipeline Builder.
• Map source data to the Foundry Ontology, translating complex business logic into accessible models.
• Implement health checks, monitor data quality, and ensure stable pipeline execution across the full data lineage.
• Write clean, efficient PySpark and SQL code to transform large data volumes.
• Collaborate with Data Scientists, Analysts, and business departments to turn requirements into functional data models.

Required profile

• 1–3 years of professional experience in data engineering (internship, working‑student, or permanent role).
• Strong knowledge of Python (preferably PySpark or Pandas) and high proficiency in SQL.
• Solid understanding of relational databases, data architectures, and distributed big‑data systems.
• Solution‑oriented mindset, analytical thinking, and eagerness to learn new tools.

Required skills

• Python
• PySpark
• SQL
• Palantir Foundry (Contour, Code Repositories, Ontology)
• Relational databases
• Big‑data concepts