Data Engineer | Data Engineer (m/w/d)
Randstad Professional
Job Summary
As a Data Engineer in the pharmaceutical sector, you will play a pivotal role in designing and implementing state-of-the-art AI and machine learning models to optimize complex manufacturing processes. Your day-to-day responsibilities will include analyzing large datasets from pilot plants using statistical methods and time-series analysis, conducting measurements on production machinery, and managing sub-projects including resource planning and coordination with external partners. You will also be responsible for maintaining productive ML models and streamlining data flows between hardware and software systems. This role is ideal for a professional with a background in process engineering, physics, or data science who thrives in a regulated industrial environment. You will benefit from a secure, long-term position within a global organization that emphasizes professional growth, individual training, and a comprehensive benefits package, all while contributing to high-impact projects in the medical technology field.
Required Skills
Education
University degree in Process Engineering, Data Science, Physics, Computer Science, or a comparable field.
Experience
- Professional experience in process and product development
- Experience in regulated environments, ideally within medical technology
- Experience in automated data acquisition and statistical evaluation
- Professional experience in leading sub-projects and coordinating external partners
Languages
Additional
- Valid work permit for Germany is required for non-EU citizens.
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