Auf einen Blick
- Aufgaben: Entwickle und skaliere Datenpipelines in Palantir Foundry und integriere Daten aus verschiedenen Quellen.
- Unternehmen: SII Group, ein vertrauenswürdiger Technologiepartner mit über 18.000 Mitarbeitern weltweit.
- Vorteile: Unbefristeter Vertrag, flexible Arbeitszeiten und Fokus auf persönliches Wohlbefinden.
- Weitere Informationen: Dynamisches Umfeld mit großartigen Entwicklungsmöglichkeiten.
- Warum dieser Job: Werde Teil eines innovativen Teams und arbeite an spannenden Datenprojekten.
- Qualifikationen: Erste Erfahrung in der Datenverarbeitung, gute Kenntnisse in Python und SQL.
Das prognostizierte Gehalt liegt zwischen 50000 - 65000 € pro Jahr.
SII Group is a trusted technology partner, SII provides high value added solutions for the IT projects of many large corporations.
Since its founding in 1979, the Company has been providing solutions adapted to its clients’ needs, by relying on :
- Its acknowledged expertise in various industries and sectors
- Proven 'turnkey' solutions
- Adaptable, evolving services
Today, with a staff of more than 18'000, SII Group is supporting companies across 20 countries.
At SII Switzerland we pay attention to the personal and professional wellbeing of our employees.
We place our collaborators at the heart of our actions and activities.
If you are motivated by the perspective of joining a big, trusted and recognized group, then let's meet !
To develop our consulting offer and support one of our clients, we are looking for a talented
- Data Engineer (Palantir)
- Missions
- 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 Py Spark 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.
- Profile
- 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 Py Spark 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
- Duration : permanent contract
- Language : fluent in English, German is a plus
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