Join a leading Swiss media and technology company with a strong digital focus and help build scalable data pipelines, reliable data models, and business-ready data products within Palantir Foundry.
- Build and scale ETL/ELT data pipelines directly in Palantir Foundry, using tools such as Code Repositories and Pipeline Builder.
- Integrate data from various source systems and make it available for analytics, reporting, and business applications.
- Support the modelling of data within the Foundry Ontology, making complex business logic accessible for analysts and end users.
- Write clean and efficient code, mainly in PySpark and SQL, to clean, transform, and process large data volumes.
- Collaborate closely with Data Scientists, Analysts, and business departments to translate requirements into functional data models in Foundry.
Requirements
- Academic background in Computer Science, Data Engineering, Business Informatics, Mathematics, Statistics, or a related field
- Initial experience with Palantir Foundry is a strong plus. Alternatively, a solid foundation in data processing and high motivation to learn the Palantir ecosystem in depth.
- Fluent in English; German is an advantage
- Good to very good knowledge of Python, ideally with experience in PySpark or Pandas
- Strong skills in SQL
- Good basic understanding of relational databases, data architectures, distributed systems, and Big Data challenges
Benefits
Skills Required
- Academic background in Computer Science, Data Engineering, Business Informatics, Mathematics, Statistics, or related field
- Initial experience with Palantir Foundry
- Solid foundation in data processing and strong motivation to learn the Palantir ecosystem
- Fluent in English
- German language skills
- Good to very good knowledge of Python
- Experience with PySpark or Pandas
- Strong skills in SQL
- Basic understanding of relational databases, data architectures, distributed systems, and Big Data challenges
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
