(assoc) Scientist Data Modeller (f/m/d)

Firmenich

Delft, Netherlands
Hybrid
Data vault modeling expertise
Logical and physical data model design
Fair principles and data governance
Firmenich is seeking a Data Modeller to join its Data Science & AI Department, focusing on clinical and real-world data in an international setting. The ideal candidate should possess strong data modelling expertise, familiarity with data governance, and a passion for data-driven decision-making, while enjoying the benefits of a hybrid working environment and opportunities for career growth

Job Summary

  • The role involves designing logical and physical enterprise data models to support analytics across clinical and pre-clinical trial domains.
  • Candidates will implement auditable, historized data integration architectures using hubs, links, satellites, and business vault patterns.
  • The position offers a hybrid working environment within a global, diverse team focused on scientific innovation in health, nutrition, and beauty.

Matching Summary

Match Score: 85

Firmenich is seeking a Data Modeller to join its Data Science & AI Department, focusing on clinical and real-world data in an international setting. The ideal candidate should possess strong data modelling expertise, familiarity with data governance, and a passion for data-driven decision-making, while enjoying the benefits of a hybrid working environment and opportunities for career growth.

Skills & Requirements

Must-have

  • Data Vault modeling expertise
  • Logical and physical data model design
  • FAIR principles and data governance
  • ETL concepts and pipeline orchestration
  • dbt and Databricks lakehouse experience
  • Clinical trial data standards compliance

Nice-to-have

  • Experience with Veeva clinical systems
  • Background in microbiome or omics research
  • Knowledge of emerging cloud platform trends
  • Strong project management capabilities
  • Multidisciplinary team collaboration skills

Key Requirements

  • Strong hands-on data modelling background
  • Practical experience with FAIR principles
  • Working knowledge of ETL transformation design
  • Experience with dbt and Databricks platforms
  • Familiarity with CDISC and GDPR regulations

Work Rights

Not specified

Tailored Resume

Cover Letter