Data Engineer (Palantir)

• uild Pipelines in Foundry: You develop and scale data pipelines (ETL/ELT) directly within Palantir Foundry (e.g., via Code Repositories, Pipeline Builder) and integrate data from a wide variety of source systems.D
• ata Modeling & Ontology: You help map our data into the Foundry Ontology, making complex business logic tangible and accessible for analysts and end-users.D
• ata Quality & Lineage: You implement health checks, monitor data quality across the entire data lineage process, and ensure that pipelines run stably.C
• ode & Transformation: You write clean, efficient code (primarily in PySpark and SQL) to clean and transform large volumes of data.T
• eam Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry. P

Do you have experience in SQL?, * nitial professional experience in Data Engineering (as a Junior, e.g., through relevant internships/working student roles; as a Mid-Level, approx. 1-3 years in a permanent role).G

• ood to excellent knowledge of Python (ideally experience with PySpark or Pandas) and are highly proficient in SQL.P
• rior experience with Foundry (e.g., Contour, Code Repositories, Ontology) is a massive plus. If not: You have a strong foundation in data processing and are highly motivated to dive deep into the Palantir ecosystem.S
• olid basic understanding of relational databases, data architectures, and the challenges of working with distributed systems (Big Data).S
• olution-oriented, think analytically, and enjoy diving into complex datasets and learning new tools. N