Data Engineer | Data Engineer (w/m/d)

Job Summary

This role is an exciting opportunity for a Data Engineer to drive digital transformation, focusing on implementing robust data acquisition processes from laboratory equipment and experiments, ensuring strict adherence to FAIR data standards (Findable, Accessible, Interoperable, Reusable). The successful candidate will develop and maintain data collection protocols and models for processing scientific data, working closely with laboratory experts, Data Scientists, and other stakeholders to meet data-related requirements. Key responsibilities include monitoring and optimizing data pipelines and storage solutions, ensuring data integrity, and promoting automation as a 'Digital Workflow Developer.' Candidates should possess a degree in Bioinformatics, Computer Science, or Life Sciences with a focus on data technology, or relevant professional training combined with at least two years of experience, preferably within the pharmaceutical industry. Strong skills in Python, SQL, REST-APIs, and analytical thinking are essential for success in this challenging and rewarding position.