Data Engineer; m/f/d
4040, Basel, Kanton Basel-Landschaft, Switzerland
Listed on 2026-03-04
-
IT/Tech
Data Engineer, Database Administrator, Data Analyst, Data Warehousing
Data Engineer (m/f/d)
For our client, a renowned pharmaceutical company in Basel, we are looking for a Data Engineer (m/f/d).
BackgroundWe are looking for a technically strong data professional with solid experience in data engineering, data warehousing, and database management, including hands‑on expertise with No
SQL databases such as Mongo
DB. Strong Python scripting skills and practical experience with ETL orchestration tools are essential.
The ideal candidate has a good understanding of Text Analytics, Text and Data Mining (TDM), and Large Language Models (LLMs), and is familiar with applying FAIR principles in data workflows.
Experience with scientific or other text‑based data, high‑performance computing environments, and API development (e.g., Graph
QL) is highly desirable.
General Information
- Start Date:
asap - Latest Possible
Start Date:
01.06.2026 - Planned Duration of Employment: 12 months
- Workplace:
Basel - Workload: 100%
- Home Office: partially possible
Tasks & Responsibilities
- Designing and implementing the ETL pipeline and Mongo
DB 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)
- Extensive experience in Data Engineering, Data Warehousing, and Databases (including No
SQL/Mongo
DB) - Strong knowledge of ETL orchestration (e.g., Airflow)
- Proficient in Python scripting
- Expertise in Text Analytics / Text Mining / LLMs
- Familiar with FAIR principles and related methodologies
- Experience working with scientific literature or text‑based datasets
- Skilled in interdisciplinary teamwork and explaining technical concepts to non‑technical stakeholders
Jan Schmitz‑Elsen
Team Lead Talent Acquisition
We look forward to receiving your online application along with your resume!
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