Data Engineer – Process Analytics & Data Intelligence 80-100% (m/f/d)

Lonza Group; Oberwallis; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Zusammenfassung

Lonza Group is seeking a Data Engineer for the Process Analytics & Data Intelligence (PADI) team in Visp. You will design, build, and operate data infrastructure connecting process, execution, and development data into a trusted operational foundation used daily by MSAT, Process Development, and Operations.

This fully on-site role emphasizes real-time collaboration to manufacture medicines with the highest quality and safety standards, supporting analytics-ready datasets for decision making

Qualifikationen

• Proven experience building/operating production-grade data pipelines.
• Strong SQL expertise and data model design for high-volume workloads.
• Hands-on ETL/ELT development with integrated data sources.
• Practical knowledge of OT systems and industrial data platforms.
• Solid understanding of data quality, lineage, governance, and compliance (GxP).
• Experience with Azure data services and cloud-native architectures.

Aufgaben

• Design, build, and operate automated data pipelines connecting process, execution, and instrument data.
• Replace manual data handling with governed, versioned data flows for operational use.
• Implement data quality checks, validation rules, and monitoring for data reliability at scale.
• Deliver analytics-ready datasets to downstream BI and analytics layers.
• Collaborate with MSAT, Process Development, Automation, QA, IT and global data teams to align data models and integration patterns.
• Continuously improve pipeline performance, robustness, and maintainability.

Kenntnisse

SQL

ETL/ELT

Data pipelines

Data quality

GxP compliance

Tools

Azure Data Factory

Azure Data Lake/Blob Storage

Git

Jobbeschreibung

Data Engineer - Process Analytics & Data Intelligence 80-100% (m/f/d)

Relocation assistance is available for eligible candidates and their families, if needed

Within theProcess Analytics & Data Intelligence (PADI)team, embedded directly inOperations, we buildproduction-ready data infrastructurethat connects process, execution, and development data into a coherent and trusted foundation used daily byMSAT, Process Development, Operations, and global data teams.

We are looking for a Data Engineer - Process Analytics & Data Intelligence in Visp to design, build, andoperate this data foundation and support reliable, scalable use of operational data across teams

This is a fully site-based role. Working together in person supports close, real-time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards.

What you'll get:

An agile career and dynamic working culture.

An inclusive and ethical workplace.

Compensation programs that recognize high performance.

In addition to a competitive salary, you can expect numerous lifestyle, family, and leisure benefits. Our full list of tailored local benefits in Visp can be found on 9cd58bc563c44174b5a4f5fedd506597

What You Will Do:

Design, build, and operate automated data pipelines integrating distributed file-based data stores and raw operational system databases, including historians (PI), MES, ELN and instrument data, into a coherent, end-to-end operational data foundation.

Replace manual, file-based data handling with governed, versioned and traceable data flows that stand up to daily operational use.

Implement and enforce data quality checks, validation rules and monitoring to ensure data reliability at scale in an operational environment.

Deliver analytics-ready datasets (clean schemas, consistent semantics, time-aligned data) to downstream BI, advanced analytics and modeling layers supporting operational decision-making.

Work closely with MSAT, Process Development, Automation, QA, IT and global data teams to align data models, definitions and integration patterns across the organization.

Continuously improve pipeline performance, robustness and maintainability in line with operational priorities.

What we are looking for:

Proven experience building, operating, and optimizing production-grade data pipelines in manufacturing, industrial, or operational environments.

Strong SQL expertise with the ability to design efficient data models and optimize queries for high-volume operational workloads.

Hands-on experience with ETL/ELT pipeline development and integration of process, execution, and operational data sources.

Practical knowledge of OT systems, including MES, PI Historian, instrument data, or similar industrial data platforms.

Solid understanding of data quality, lineage, traceability, governance, and compliance, ideally within GxP-regulated environments.

Experience with Azure data services, including Azure Data Factory, Azure Data Lake/Blob Storage, Git-based version control, and cloud-native data architectures.

Background in biopharma, life sciences, manufacturing, or operations data, with the ability to translate complex operational processes into scalable data solutions.

About Lonza:

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone's ideas, big or small, have the potential to improve millions of lives, and that's the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you're ready to help turn our customers' breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences?

• Take ownership, step forward, and enjoy meaningful responsibility
• Love solving problems and thrive in a complex, fast-moving environment
• Are curious, always looking to learn and improve
• Work collaboratively, contributing to something bigger than yourself
• Are motivated to make a difference through work that impacts customers and their patients

Why Lonza:

We are a place of unique opportunity, where your ideas, expertise and ambition can make a real difference. Here, will have the freedom to grow, the support to succeed and the chance to contribute to work that matters.

We are the makers of the medicines of tomorrow.