As a Data Engineer you design and develop scalable data architectures
You contribute to the development of data models and metadata management.
You develop and manage data pipelines to integrate data from internal source systems
You will Monitor and troubleshoot data pipeline performance and reliability.
In close collaboration with stakeholders you translate business requirements into technical solutions
You deploy data pipelines and services to our internal cloud environment
You provide support and consulting to internal customers and support data governance and compliance initiatives.
You assist in further development of our cloud-based DataOps services
You hold a university degree in Computer Science or a related field.
You have a proven track record of creating data strategies and data models.
You are familiar with data engineering practices, including ETL, Data Governance, and Data Lakes.
You have experience with data orchestration tools, such as Dagster.
You are experienced with cloud technologies like Kubernetes, OpenShift, Helm, and S3.
You are proficient in Linux, Docker, Python, and Git.
You have the ability to quickly learn new topics, you are self-motivated with a strong focus on quality.
You are fluent in both English and German.
We are looking forward to receiving your application! Ideally, you should apply online with the reference number. If you have any questions, please feel free to contact your recruiting contact via LinkedIn or XING.
Equal opportunities are important to us. We are looking forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.
Reference number 14044
Recruiting contact Johanna Vordermayer
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty.
Typ:
VollzeitArbeitsmodell:
HybridKategorie:
Development & ITErfahrung:
ErfahrenArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
29 Sep 2025Standort:
Munich
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