Key Responsibilities:

Develop and maintain data models for BI and analytics solutions.
Code in SQL and Python on Palantir Foundry.
Assemble large, complex data sets to meet business requirements and advanced analytics use cases.
Build robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms.
Collaborate within a cross-functional international team to design and implement data-driven workflow solutions.

Requirements:

Hands-on experience with PySpark, Python, and SQL.
Experience with Big Data Hadoop tools such as Pig, Spark, or HDFS.
Proficiency with cloud services such as AWS, Azure, or GCP.
Familiarity with agile methodologies, scrum, and problem-centric solution design.
Proven knowledge of data engineering best practices.
Fluent in English; German language skills are a plus.

Additional Assets: