(Senior) Data Engineer (f/m/d)

9 days ago

Freiburg im Breisgau, GermanySenior

Responsibilities

Design and maintain scalable data models for analytical and operational use cases.
Develop robust ETL/ELT pipelines for batch and real-time data processing.
Integrate and process data from medical devices, sensors, images, videos, and other sources.
Translate analytics, reporting, and machine learning requirements into sustainable data solutions.
Implement data quality, validation, and monitoring frameworks for reliable datasets.
Collaborate with cross-functional teams to define data collection requirements and identify data-driven opportunities.
Ensure compliance with data privacy requirements and alignment with the corporate data strategy.

Several years of experience in data engineering, data modeling, and data pipeline development.
Experience integrating data from complex systems such as medical devices, automotive systems, or consumer applications.
Strong expertise with cloud data platforms such as Azure or AWS and technologies including Databricks, Apache Spark, and Azure Data Factory.
Advanced programming skills in Python.
Experience with data integration technologies such as ROS 2 or DDS.
Knowledge of data architectures supporting analytics, machine learning, and AI applications.
Experience in regulated industries such as medical technology, aerospace, or automotive is valued.
Knowledge of DICOM and FHIR is a plus.
Strong communication skills and fluency in English are required; German is an additional advantage.
A hands-on, solution-oriented mindset.

Flexible and family-oriented working hours.
Hybrid working between the office and home.
Modern office with spaces optimized for concentration and collaboration, including a high-tech simulation operating room and social and creativity areas.
Location in one of Germany’s attractive cities with a high quality of life.
Subsidy for public transportation.
Inclusive work environment that values diversity and meaningful contributions.