Data Engineer – Process Analytics & Data Intelligence

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is dedicated people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world.

And that’s the kind of work we want to be part of.

The actual location of this job is in Visp, Switzerland . Relocation assistance is available for eligible candidates and their families, if needed.

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

• Design, build, andoperateautomated data pipelines integrating distributed file-based data stores and raw operational system databases, including historians (PI),MES,ELNand instrument data, into a coherent, end-to-end operational data foundation.
• Replace manual, file-based data handling with governed,versionedand traceable data flows that stand up to daily operational use.
• Implement and enforcedata quality checks, validation rulesandmonitoringto ensure data reliability at scale in an operational environment.
• Deliveranalytics-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,ITand global data teamsto align data models,definitions and integration patterns across the organization.
• Continuously improve pipeline performance,robustnessand maintainability in line with operational priorities.

• You think inpipelines,schemasand failure modes, not files and manual workarounds.
• Youdesignrepeatability,observabilityand scale in environments where reliability matters.
• You are comfortable working across
  
  OT systems, MES, and cloud data platforms.
• You takeend-to-end ownership, from source systems to analytics consumers.
• You simplify complex operational data landscapes without losing critical process detail.

• Hands-on experience building and operatingproduction data pipelinesin operational or industrial environments.
• Strong
  
  SQLexpertiseand experienceoptimizingqueries for operational workloads.
• Proven experience with
  
  ETL / ELT pipelineshandling process and execution data.
• Hands-on exposure to historians (PI), MES, instrument data, or similar OT systems.
• Solid understanding of data quality, lineage, traceability, and governance ideally in regulated (GxP) environments.
• Experience with cloud data platforms, preferably Azure, including building and managing data pipelines (Azure Data Factory), data storage solutions (Azure Data Lake/Blob Storage), and version control using Git.
• Background in biopharma, manufacturing, or operations datais strongly preferred.
• Education:
  
  Degree in Engineering, Data Science, Computer Science, or a related technical field preferred — equivalent operational experience will be considered.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a significant difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.