Data Engineer | Data Engineer (d/w/m)
Ottobock SE & Co. KGaA
Job Summary
This role is central to Ottobock's strategic goal of becoming a data-driven enterprise, working within the Advanced Analytics & Data Insights team of Global IT. The Data Engineer will collaborate closely with cross-functional Data Product Teams, including Business Data Owners, Analysts, and Data Scientists, to implement robust data-based solutions. Key responsibilities involve developing modern data pipelines using tools like Azure Data Factory and Databricks, integrating new internal and external data sources into the Azure Data Lake, and optimizing pipeline performance. The ideal candidate must possess a Master's degree in Computer Science or a quantitative field, coupled with at least five years of professional experience using the Azure Data Engineering Tech Stack or comparable cloud technologies (AWS/GCP). This position offers the opportunity to contribute directly to better and smarter MedTech products in a dynamic, international environment.
Required Skills
Education
Master's degree in Computer Science or a comparable quantitative subject area
Experience
- Minimum 5 years in relevant professional experience with the Azure Data Engineering Tech Stack or comparable technologies in AWS or GCP
- Practical experience with Python and data science/machine learning-related libraries
- Professional experience with Databricks (Beneficial)
- Experience handling relational and NoSQL databases
- Experience with SAP BW (Beneficial)
Languages
Additional
- Self-organized working style and willingness to continuously develop professionally
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