Semantic Data Engineer

We are looking for a Data Engineer to join an international project supporting pharmaceutical research through the integration and standardization of laboratory data. In this role, you will design and maintain scalable data pipelines, enabling seamless access to high-quality, analysis-ready data for scientists and research teams.

Responsibilities

Design, develop, and maintain ETL pipelines for integrating laboratory instrument data.

Build and optimize SQL queries to support efficient data processing and analytics.

Develop and extend data models and JSON Schemas based on industry standards.

Collaborate with DevOps teams to implement and maintain cloud-based data solutions.

Ensure data quality, consistency, and compliance with FAIR data principles.

Support continuous improvements in data integration processes and platform capabilities.

Requirements

Experience in Data Engineering, including SQL, ETL development, and data integration.

Strong Python programming skills.

Hands-on experience with NoSQL databases (document or graph databases).

Familiarity with DevSecOps practices, including CI/CD, Git, Infrastructure as Code (Terraform or Cloud

Formation), and Docker.

Good communication skills and experience working in cross-functional Agile teams.

Professional proficiency in English.

Nice to Have

Experience with Semantic Web technologies (RDF, SPARQL, Knowledge Graphs).

Hands-on experience with AWS, particularly Lambda, Glue, and Step Functions.

Familiarity with Jira and Confluence.

Experience working with scientific, laboratory, or pharmaceutical data environments.