Die KI-Suchmaschine für Jobs
Data Engineer – Process Analytics & Data Intelligence(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sonstige Vorteile
- •Relocation assistance
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Jobs in der Nähe entdecken
Data Engineer – Process Analytics & Data Intelligence(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Benefits
Sonstige Vorteile
- •Relocation assistance
Über das Unternehmen
Lonza
Branche
Pharmaceuticals
Beschreibung
Lonza is a global leader in life sciences, committed to improving lives through innovative solutions and ethical practices.
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