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R&D Data Management Delivery Expert(m/w/x)
Description
You will lead the delivery of complex R&D data projects, bridging the gap between scientific needs and scalable engineering to build a modern, FAIR-compliant data ecosystem.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years R&D data engineering experience
- •Degree in IT, Data Science, or related
- •Expertise in data architecture and FAIR principles
- •Knowledge of modern data platforms and tooling
- •Strong data modeling and metadata skills
- •Stakeholder leadership and communication skills
- •Agile/Lean ways of working
- •Curious and growth mindset
Education
Tasks
- •Lead end-to-end delivery of data engineering and modeling projects
- •Build and scale reliable pipelines and reusable data products
- •Oversee squads to ensure high performance and quality
- •Define and enforce modeling standards and metadata practices
- •Align data lineage practices with FAIR principles
- •Translate complex scientific needs into scalable data solutions
- •Partner with scientists and IT departments
- •Shape and govern scalable data architectures
- •Guide the adoption of modern approaches like Data Mesh
- •Ensure robust governance across scientific and research data domains
- •Coach engineers and modelers on technical best practices
- •Drive documentation and continuous improvement initiatives
Tools & Technologies
Languages
English – Business Fluent
Benefits
Career Advancement
- •Unique career paths
- •Career development support
- •Expertise and leadership development
- •Internal mobility
Sustainability Focus
- •Sustainability-focused work environment
Informal Culture
- •Collaborative work culture
Learning & Development
- •Continuous learning opportunities
- RocheFull-timeOn-siteSeniorBasel
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R&D Data Management Delivery Expert(m/w/x)
The AI Job Search Engine
Description
You will lead the delivery of complex R&D data projects, bridging the gap between scientific needs and scalable engineering to build a modern, FAIR-compliant data ecosystem.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •3+ years R&D data engineering experience
- •Degree in IT, Data Science, or related
- •Expertise in data architecture and FAIR principles
- •Knowledge of modern data platforms and tooling
- •Strong data modeling and metadata skills
- •Stakeholder leadership and communication skills
- •Agile/Lean ways of working
- •Curious and growth mindset
Education
Tasks
- •Lead end-to-end delivery of data engineering and modeling projects
- •Build and scale reliable pipelines and reusable data products
- •Oversee squads to ensure high performance and quality
- •Define and enforce modeling standards and metadata practices
- •Align data lineage practices with FAIR principles
- •Translate complex scientific needs into scalable data solutions
- •Partner with scientists and IT departments
- •Shape and govern scalable data architectures
- •Guide the adoption of modern approaches like Data Mesh
- •Ensure robust governance across scientific and research data domains
- •Coach engineers and modelers on technical best practices
- •Drive documentation and continuous improvement initiatives
Tools & Technologies
Languages
English – Business Fluent
Benefits
Career Advancement
- •Unique career paths
- •Career development support
- •Expertise and leadership development
- •Internal mobility
Sustainability Focus
- •Sustainability-focused work environment
Informal Culture
- •Collaborative work culture
Learning & Development
- •Continuous learning opportunities
About the Company
dsm-firmenich
Industry
Food
Description
The company develops science-based health ingredients and innovative solutions in nutrition, health, and beauty.
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