Data Engineer | Data Engineer (f/m/div.) / REF283077R

Robert Bosch GmbH

Renningen, Baden-Württemberg, Deutschland
Published May 6, 2026
Full-time
Permanent

Job Summary

As a Data Engineer at Bosch, you will play a pivotal role in designing and implementing scalable, cost-efficient data platforms tailored for machine learning and advanced analytics. Your day-to-day responsibilities include building and maintaining robust ETL/ELT pipelines capable of handling high-velocity data from industrial IoT sensors and manufacturing systems. You will be responsible for logical and physical data modeling, ensuring high standards of data quality and governance across the infrastructure. A key aspect of this role involves evaluating and selecting appropriate technologies within the Microsoft Azure ecosystem to meet complex business requirements. This position is ideal for a professional who enjoys working in an international, interdisciplinary environment, communicating technical concepts clearly, and contributing to cutting-edge industrial data solutions. You will be part of a forward-thinking culture that emphasizes continuous growth, collaboration, and the development of technologies that improve lives globally.

Required Skills

Education

Completed degree in Computer Science, Business Informatics, or a related technical field.

Experience

  • Several years of professional experience in data engineering, specifically building and operating data platforms and pipelines in cloud environments.
  • Extensive hands-on experience in designing and implementing scalable data processing jobs.
  • Professional experience with Azure Databricks and the Microsoft Azure data ecosystem.
  • Proven experience with real-time data ingestion using streaming technologies.
  • Experience working with industrial or manufacturing-related data sources.

Languages

German (Basic)English (Fluent)

Additional

  • Must submit CV, letter of motivation, certificates, and links to GitHub or Kaggle accounts. Role supports mobile working and flexible working models.