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R&D Data Management Delivery Expert(m/w/x)
End-to-end data engineering and modeling project delivery for science-based health ingredients and beauty solutions, building scalable pipelines. 3+ years R&D data engineering experience and FAIR principles expertise required. Sustainability-focused work environment.
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
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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- Databricks
- PySpark
- Spark SQL
- Unity Catalog
- dbt
- Informatica
- Git
- Azure DevOps
- CI/CD
- Data Vault 2.0
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
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- RocheFull-timeOn-siteSeniorBasel
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R&D Data Management Delivery Expert(m/w/x)
End-to-end data engineering and modeling project delivery for science-based health ingredients and beauty solutions, building scalable pipelines. 3+ years R&D data engineering experience and FAIR principles expertise required. Sustainability-focused work environment.
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
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
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- Databricks
- PySpark
- Spark SQL
- Unity Catalog
- dbt
- Informatica
- Git
- Azure DevOps
- CI/CD
- Data Vault 2.0
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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