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.

• 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 CloudFormation), 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.

• 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.