Das ist der Job
Good to excellent knowledge of Python (ideally experience with PySpark or Pandas) and are highly proficient in SQL.
Darum lohnt es sich
Team Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry.
Responsibilities Build 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.
Data Modeling & Ontology: You help map our data into the Foundry Ontology, making complex business logic tangible and accessible for analysts and end-users. Data Quality & Lineage: You implement health checks, monitor data quality across the entire data lineage process, and ensure that pipelines run stably.
Code & Transformation: You write clean, efficient code (primarily in PySpark and SQL) to clean and transform large volumes of data. Qualifications Initial 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).
Prior 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.
Solid basic understanding of relational databases, data architectures, and the challenges of working with distributed systems (Big Data). Solution-oriented, think analytically, and enjoy diving into complex datasets and learning new tools.
Details Start date: September Location: Zurich - CH Duration: permanent contract Language: fluent in English, German is a plus #J-18808-Ljbffr
