Data Engineer (f/m/div.)

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

• As a data engineer you will lead the technical design and implementation of a scalable, cost‑efficient data platform for machine learning and analytics by skillfully leveraging batch as well as streaming technologies.
• You will design, deploy, operate robust ETL/ELT pipelines that process large‑volume, high‑velocity data from industrial sources such as IoT sensors and manufacturing execution systems.
• Furthermore, you will design and implement logical as well as physical data models for our data warehouse, while establishing data quality and governance standards across all pipelines.
• Last but not least, you will evaluate and select suitable data technologies and tools to meet business as well as technical requirements, particularly within a Microsoft Azure data ecosystem.

• Education: completed degree in Computer Science, Business Informatics, or a related technical field
• Experience and Knowledge:
  • several years of professional experience in data engineering with a proven track record of building and operating data platforms and pipelines in a cloud environment
  • extensive hands‑on experience in designing and implementing scalable data processing jobs
  • professional experience with Azure Databricks (Delta tables, Lakebase, Lakehouse)
  • very strong knowledge of modern streaming technologies (e.g. Kafka, MQTT) for real‑time data ingestion
  • strong knowledge and professional experience with cloud platforms, e.g. the Microsoft Azure data stack (e.g. Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory)
  • expertise in data modeling, data warehousing principles and data governance
  • proven ability to design data platforms supporting both large‑scale analytics and machine learning workloads
  • experience with industrial or manufacturing‑related data sources
• Personality and Working Practice: you communicate complex technical topics clearly and enjoy sharing your expertise in international, interdisciplinary team environments
• Languages: fluent English skills written and spoken, German is a plus

• Work-life balance: Flexible working in terms of time, place and working model.
• Health & Sport: Wide range of health and sports activities.
• Childcare: Intermediary service for childcare services.
• Employee discounts: Discounts for employees.
• Room for creativity: Space for creative work.
• In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.