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Data Engineer – Process Analytics & Data Intelligence(m/w/x)
Description
You will build a robust data foundation by transforming raw operational data into scalable pipelines, ensuring global teams have reliable, analytics-ready insights for daily decision-making.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Focus on pipelines, schemas, and failure modes
- •Design for repeatability, observability, and scale
- •Proficiency in OT, MES, and cloud platforms
- •End-to-end ownership of data systems
- •Simplification of complex operational data landscapes
- •Experience building production data pipelines
- •Strong SQL expertise and query optimization
- •Experience with ETL / ELT pipelines
- •Exposure to historians, MES, or OT systems
- •Understanding of data quality and governance
- •Experience with cloud data platforms and Git
- •Background in biopharma, manufacturing, or operations
- •Technical degree or equivalent operational experience
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Design and operate automated data pipelines
- •Integrate distributed file-based and database stores
- •Connect PI historians, MES, and ELN data
- •Replace manual handling with traceable data flows
- •Implement data quality checks and monitoring
- •Deliver analytics-ready datasets with clean schemas
- •Align data models with cross-functional teams
- •Improve pipeline performance and maintainability
Tools & Technologies
Languages
English – Business Fluent
Benefits
Other Benefits
- •Relocation assistance
- LonzaFull-timeOn-siteExperiencedVisp
- CH12 Lonza AG
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Data Engineer – Process Analytics & Data Intelligence(m/w/x)
The AI Job Search Engine
Description
You will build a robust data foundation by transforming raw operational data into scalable pipelines, ensuring global teams have reliable, analytics-ready insights for daily decision-making.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Focus on pipelines, schemas, and failure modes
- •Design for repeatability, observability, and scale
- •Proficiency in OT, MES, and cloud platforms
- •End-to-end ownership of data systems
- •Simplification of complex operational data landscapes
- •Experience building production data pipelines
- •Strong SQL expertise and query optimization
- •Experience with ETL / ELT pipelines
- •Exposure to historians, MES, or OT systems
- •Understanding of data quality and governance
- •Experience with cloud data platforms and Git
- •Background in biopharma, manufacturing, or operations
- •Technical degree or equivalent operational experience
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Design and operate automated data pipelines
- •Integrate distributed file-based and database stores
- •Connect PI historians, MES, and ELN data
- •Replace manual handling with traceable data flows
- •Implement data quality checks and monitoring
- •Deliver analytics-ready datasets with clean schemas
- •Align data models with cross-functional teams
- •Improve pipeline performance and maintainability
Tools & Technologies
Languages
English – Business Fluent
Benefits
Other Benefits
- •Relocation assistance
About the Company
Lonza
Industry
Pharmaceuticals
Description
Lonza is a global leader in life sciences, committed to improving lives through innovative solutions and ethical practices.
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