Data Engineer

Data Engineer (m/f/d) - Data warehousing / No

SQL/Mongo

DB / Text Analytics/Mining / ETL orchestration / Python / Graph

QL / scientific literature / Biomedical / English Project

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

Within the Computational Science Center of Excellence organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision‑making. The Scientific Content Team, as part of the DDC‑Data capability, is responsible for providing the data platforms for compliant and streamlined access to extensive collection of scientific content such as literature text data.

These products play a central role in enabling data‑driven innovation in research, development, and translational sciences across Client Group. The Scientific Content Data Engineer role is evolving, defined by strategic demands and dynamic compliance requirements around data security, integration, and harmonization.

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 (eg, Graph

QL) is highly desirable. A biomedical background is a plus.

• 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 (eg, building a data warehouse and APIs).
• User support for utilizing RoMine datasets (documentation, training, use case support).

• Data engineering, data warehousing, and database experience.
• Experience with No
  
  SQL/Mongo
  
  DB 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 (eg, Graph
  
  QL API) is a plus.
• Biomedical background/education is a plus.

Reference No.: 924799

Role
:
Data Engineer (m/f/d)

Industry
:
Pharma

Location
:
Basel

Workload
: 100%

Start
:
Asap (latest start date: June 1st, 2026)

Duration
: 12++ months