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.
Duration: permanent contract
Language: fluent in English, German is a plus
#J-18808-Ljbffr
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.
Duration: permanent contract
Language: fluent in English, German is a plus
#J-18808-Ljbffr
Data Engineer (Palantir) Arbeitgeber: SII Group Belgium
Als Teil der international agierenden SII Group bieten wir als Arbeitgeber ein dynamisches und unterstützendes Arbeitsumfeld, das auf Eigenverantwortung und kontinuierlicher Weiterentwicklung basiert. Unsere Mitarbeiter profitieren von flexiblen Arbeitszeiten, einem modernen Setup mit cloudbasierten Tools und einer Kultur, die offene Kommunikation und Vertrauen fördert. Zudem unterstützen wir individuelle Entwicklungsmöglichkeiten und bieten attraktive finanzielle Extras, um eine ausgewogene Work-Life-Balance zu gewährleisten.
