Join us as Data Engineer and build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD’s platform landscape
- Develop and maintain ETL/ELT pipelines for structured and unstructured data
- Ensure data integrity, availability, and performance across ingestion and storage layers
- Collaborate with analysts and architects to translate business needs into data models
- Automate and monitor data workflows across cloud and hybrid environments
- Support data platform users by troubleshooting and optimizing data flows
- Minimum 5 years experience in a similar role
- Proficiency in one of the following: SQL, Python, Java, Scala and data processing frameworks (e.g., Spark)
- Experience with cloud data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
- Experience in data warehousing (design and implementation) and with data lake based technologies
- Skills about data integration (ETL/ELT), data modeling, and working with real-time and/or batch data pipelines
- Ability to implement and support a reliable data infrastructure
- Strong English communication and collaboration skills across technical and non-technical stakeholders
We offer an environment where :
- You take full accountability for your ideas and bring them to reality
- You can act as an intrapreneur in a well established company
- Diversity is at the core of our way of working
- You find a wide range of internal and external training opportunities for your professional and personal development
- Flexible working hours and mobile work is possible within the framework of our company regulation