Data Engineer

• Design and implement ETL pipelines and MongoDB schemas
• Manage document databases, including curation and FAIRification (cleaning, parsing, disambiguation, deduplication, harmonization)
• Integrate new data sources and develop robust parsers and text-cleaning workflows
• Improve user experience by building data warehouses and APIs
• Provide user support for dataset usage (documentation, training, use case guidance)

We are seeking a technically strong data professional with robust experience in:

• Data engineering, data warehousing, and database management
• NoSQL databases (especially MongoDB)
• Python Scripting
• ETL orchestration tools (eg, Airflow)

A solid understanding of Text Analytics, Text and Data Mining (TDM), and Large Language Models (LLMs) is highly desirable. experience with scientific or other text-based datasets, high-performance computing environments, and API development (eg, GraphQL) is a plus. A biomedical Background is beneficial but not required., * Strong experience in data engineering, data warehousing, and database management.*

• Hands-on experience with NoSQL/MongoDB.*
• Strong proficiency in Python Scripting.*
• experience with ETL orchestration tools (eg, Airflow).*
• Understanding of Text Analytics, Text Mining, TDM, and LLMs
• Knowledge of FAIR data principles
• Familiarity with scientific literature or other text-based datasets
• Excellent communication skills in English (fluent); German is a plus
• Ability to explain technical topics to non-technical stakeholders
• Exposure to high-performance computing environments
• experience with API development (eg, GraphQL) is advantageous
• Biomedical Background/education is a plus