Data Engineer: Build the Operational Data Foundation

Lonza Group Ltd.; Oberwallis; Vor Ort; CHF 120.000 - 150.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Lifestyle benefits

Visp local benefits

Zusammenfassung

Lonza Group Ltd. in Visp, Switzerland, is seeking a Data Engineer to design, build, and operate an end-to-end operational data foundation. You will replace manual data handling with governed, traceable data flows and deliver analytics-ready datasets to BI and modeling layers.

The role requires strong SQL, ETL/ELT expertise, and OT knowledge such as MES and PI Historian. You will collaborate with MSAT, Process Development, Automation, QA, IT and global data teams to ensure data quality and

Qualifikationen

• Proven experience building production-grade data pipelines in manufacturing or operational environments.
• Strong SQL expertise for data modeling and high-volume workloads.
• Hands-on ETL/ELT development and integration of process, execution, and operational data sources.
• Practical knowledge of OT systems like MES and PI Historian; data quality and governance focus.

Aufgaben

• Design, build, and operate automated data pipelines linking distributed data stores and operational databases into a coherent data foundation.
• Replace manual data handling with governed, versioned data flows for daily use.
• Implement data quality checks and monitoring for reliability at scale.
• Deliver analytics-ready datasets to downstream BI and analytics layers for operational decisions.
• Collaborate with MSAT, Process Development, Automation, QA, IT and global data teams to align models and integration patterns.
• Improve pipeline performance, robustness and maintainability.

Kenntnisse

SQL

ETL/ELT

Azure Data Factory

Data modeling

Data governance

GxP compliance

Industrial data

Tools

PI Historian

Azure Data Lake

Git version control

Jobbeschreibung

Lonza Group Ltd. in Visp, Switzerland, is seeking a Data Engineer to design, build, and operate an end-to-end operational data foundation. You will replace manual data handling with governed, traceable data flows and deliver analytics-ready datasets to BI and modeling layers.

The role requires strong SQL, ETL/ELT expertise, and OT knowledge such as MES and PI Historian. You will collaborate with MSAT, Process Development, Automation, QA, IT and global data teams to ensure data quality and