Data Engineer (f/m/div.)

Job Description

• 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.

Qualifications

• 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

We offer flexible working models: from various part-time options to mobile working and job sharing.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.