Data Engineer (Palantir)

Groupe SII; Zürich; Hybrid; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

SII Switzerland in Zurich is seeking a Data Engineer to design, build, and scale data pipelines in Palantir Foundry, collaborating with data scientists and business teams to translate requirements into robust data models.

You will model data using the Foundry Ontology, monitor data quality and lineage, and write efficient PySpark and SQL transformations on large volumes of data. English fluent; German a plus. Permanent contract in Zurich.

Qualifikationen

• Proven experience as a Data Engineer or similar in enterprise environments.
• Strong Python, PySpark and SQL skills.
• Experience with Palantir Foundry is highly desirable.
• Solid understanding of relational databases and distributed data systems.

Aufgaben

• Build and scale ETL/ELT pipelines in Foundry.
• Data modeling and ontology mapping.
• Ensure data quality and lineage across pipelines.
• Write clean PySpark and SQL code for large datasets.
• Collaborate with data scientists, analysts, and business units.

Kenntnisse

Python

PySpark

SQL

Pandas

Foundry

Data Modeling

Ontology

Tools

Foundry

Contour

Code Repositories

Jobbeschreibung

• 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.
• Team Collaboration: You work closely with Data Scientists, Analysts, and business departments to translate their requirements into functioning data models within Foundry.

• 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).
• Good to excellent knowledge of Python (ideally experience with PySpark or Pandas) and are highly proficient in SQL.
• 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.

For information

• Start date : September
• Location : Zurich - CH
• Duration : permanent contract
• Language : fluent in English, German is a plus
  

• At SII Switzerland, we stand out for our strong collaborative culture and recognized expertise in IT consulting and engineering services, supporting our clients in their digital transformation and innovation projects.
• With a presence across three offices in Geneva, Lausanne, and Zurich, and a workforce of around 70 consultants, our teams contribute every day to creating a work environment that is stimulating and development-oriented, where expertise, teamwork, and initiative are valued.
• For the third consecutive year, SII Switzerland has been certified Great Place To Work and ranked among the Best Workplaces in "Suisse Romande", demonstrating our strong commitment to our employees and the quality of our practices.
• True to our human-centered values, we are committed to supporting continuous learning and building strong relationships with our local ecosystem and partners.
• Joining SII Switzerland means taking part in a collective adventure guided by our promise “Let’s Tech Together,” and helping to build a technological future that is innovative, sustainable, and responsible, at the heart of an environment that values autonomy, collaboration, and professional growth.