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Data Engineer; m​/f​/d

Remote / Online - Candidates ideally in
4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Datalynx AG
Remote/Work from Home position
Listed on 2026-03-04
Job specializations:
  • IT/Tech
    Data Engineer, Database Administrator, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 30000 - 80000 CHF Yearly CHF 30000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (m/f/d)

Data Engineer (m/f/d)

For our client, a renowned pharmaceutical company in Basel, we are looking for a Data Engineer (m/f/d).

Background

We 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)
Must Haves
  • 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
Contact

Jan Schmitz‑Elsen
Team Lead Talent Acquisition

We look forward to receiving your online application along with your resume!

#J-18808-Ljbffr
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