Data Engineer | Data Engineer (d/w/m)
Ottobock SE & Co. KGaA
Job Summary
This Data Engineer role, situated within the Global IT Advanced Analytics & Data Insights team at a global market leader in medical technology, focuses on driving the company's transition to a data-driven enterprise. The engineer will collaborate closely with cross-functional Data Product Teams, Data Architects, and Data Scientists to design and implement robust, data-based solutions. Key daily activities include developing modern data pipelines using tools like Azure Data Factory and Databricks, integrating diverse internal and external data sources into the Azure Data Lake, and monitoring pipeline performance to ensure optimal functionality. The ideal candidate holds a Master's degree in Computer Science or a comparable quantitative field and possesses at least five years of professional experience utilizing the Azure Data Engineering stack or comparable cloud platforms (AWS/GCP). Expertise in Python, general software development principles (DevOps, Git), and database management (relational/NoSQL) is essential. This is an attractive opportunity to apply advanced data skills to improve both business operations and intelligent MedTech products globally.
Required Skills
Education
Master's degree in Computer Science or a comparable quantitative field
Experience
- Minimum 5 years in relevant professional experience with the Azure Data Engineering Tech Stack or comparable technologies (AWS or GCP)
- Practical experience with Databricks (Advantageous)
- Experience in general software development, including DevOps and Git workflows
- Experience managing relational and NoSQL databases
- Experience with SAP BW (Advantageous)
Languages
Additional
- Not specified
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