Basel, Hybrid
12 months
40 hours
SL-001108
SL-001108
Job description
- Design, build, and maintain scalable data engineering and data warehousing solutions
- Develop and optimize data pipelines and ETL workflows (e.g., Airflow)
- Work with NoSQL databases, particularly MongoDB
- Implement and maintain Python-based data processing and analytics scripts
- Support Text Mining, Text Data Mining (TDM), and LLM-based applications
- Integrate and manage structured and unstructured scientific/literature-based datasets
- Ensure adherence to FAIR data principles and associated methodologies
- Collaborate closely with interdisciplinary stakeholders, translating technical solutions into clear business value
- Contribute to high-performance computing (HPC) environments where applicable
- Support or contribute to API development (e.g., GraphQL)
Requirements
- Strong experience in Data Engineering, Data Warehousing, and Database design
- Proven experience with NoSQL databases (MongoDB)
- Strong proficiency in Python scripting
- Experience with ETL orchestration tools (e.g., Airflow)
- Solid understanding of Text Analytics, Text Mining, TDM, and LLMs
- Knowledge of FAIR principles
- Familiarity with scientific literature or other large-scale text-based datasets
- Experience working in interdisciplinary teams
- Strong communication skills in English (fluent); German is a plus
- Exposure to high-performance computing environments is an advantage
- Experience with API development (e.g., GraphQL) is a plus
- Biomedical background or education is a plus
