Data Engineer

We are looking for a technically strong data professional with solid experience in data engineering, data warehousing, and database management.

General Information:

• Start Date: asap.
• Latest Possible Start Date: 01.06.2026
• Planned Duration of Employment: 12 months
• Extension: Likely if budget gets approved
• Workplace: Basel
• Home Office: partially possible
• Team: 8

Tasks & Responsibilities:

• Designing and implementing the ETL pipeline and MongoDB scheme.
• Managing the document database, data curation, and FAIRification (cleaning, parsing, disambiguation, deduplication, data harmonization etc.), including ongoing database maintenance.
• Integrating new data sources, including the development of robust parsers and text cleaning workflows.
• Enhancing the user experience (e.g., building a data warehouse and APIs).
• User support for utilizing RoMine datasets (documentation, training, use case support).

Must Haves:

• Data engineering, data warehousing, and database experience 
• Experience with NoSQL/MongoDB database. 
• Good understanding in the area of Text Analytics/Mining, TDM, and LLMs.
• Experience or knowledge of ETL orchestration tools, such as Airflow. 
• Strong proficiency in Python scripting. 
• Knowledgeable on the FAIR principles and associated methodology.
• Familiarity with scientific literature/published content/literature or/and other text-based data
• Excellent communication and interpersonal skills in English (fluent), German is nice to have.
• Interdisciplinary teamwork, ability to explain technical concepts to non technical stakeholders
• Exposure to high-performance computing environments.
• Experience with API development (e.g., GraphQL API) is a plus.
• Biomedical background/education is a plus

We thank you for your application!

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