Data Engineer | Data Engineer (w/m/d)
Brunel GmbH NL Rosenheim
Job Summary
As a Data Engineer at Brunel, you will play a pivotal role in bridging the gap between laboratory experimentation and data science. Your primary responsibility involves implementing data acquisition processes from laboratory equipment while strictly adhering to FAIR data standards (Findable, Accessible, Interoperable, Reusable). You will develop and maintain data models and acquisition protocols specifically for scientific data analysis. Collaboration is key, as you will work closely with lab experts and data scientists to identify requirements and ensure data integrity. Furthermore, you will act as a 'Digital Workflow Developer,' driving automation and optimizing data pipelines and storage solutions. This position is particularly attractive due to its focus on the pharmaceutical industry and the opportunity to work with cutting-edge laboratory informatics platforms. Brunel offers a permanent contract with a structured collective agreement, providing long-term security and professional development opportunities within a global engineering services network.
Required Skills
Education
University degree in Bioinformatics, Computer Science, or Life Sciences with a focus on Data Technology; alternatively, a relevant vocational qualification combined with professional experience.
Experience
- At least 2 years of relevant experience in data engineering or a related field
- Professional experience in the pharmaceutical industry (preferred)
- Proven experience in Python and SQL development
- Experience working with REST-APIs and data aggregation concepts
- Experience in developing and optimizing data models and processes
- Experience in Biologics or laboratory environments (ideal)
Languages
Additional
- The role requires the ability to work in a full-time, permanent capacity. Candidates should have a strong analytical mindset and the ability to handle sensitive scientific data in compliance with data protection regulations.
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