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LO
Lonza
7d ago

Data Engineer – Process Analytics & Data Intelligence(m/w/x)

Visp
Full-timeOn-siteExperienced
Data Science

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.

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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

Bachelor's degree

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

SQLETLELTHistorians (PI)MESAzureAzure Data FactoryAzure Data LakeBlob StorageGit

Languages

EnglishBusiness Fluent

Benefits

Other Benefits

  • Relocation assistance
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