Data Engineer – Process Analytics & Data Intelligence

ppToday, 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. /ppThe actual location of this job is in Visp, Switzerland .

Relocation assistance is available for eligible candidates and their families, if needed. /ppWithin 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. /ph3What You Will Do /h3ulliDesign, 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. /liliReplace manual, file-based data handling with governed,versionedand traceable data flows that stand up to daily operational use. /liliImplement and enforcedata quality checks, validation rulesandmonitoringto ensuredata reliability at scale in an operational environment. /liliDeliveranalytics-ready datasets(clean schemas, consistent semantics, time-aligned data) to downstream BI, advanced analyticsand modeling layers supporting operational decision-making. /liliWork closely withMSAT, Process Development,Automation, QA,ITand global data teamsto align data models,definitionsand integration patterns across the organization. /liliContinuously improve pipeline performance,robustnessand maintainability in line with operational priorities. /li /ulh3Who You Are /h3ulliYou think inpipelines,schemasand failure modes, not files and manual workarounds. /liliYoudesignrepeatability,observabilityand scale in environments where reliability matters. /liliYou are comfortable working acrossOT systems, MES, and cloud data platforms. /liliYou takeend-to-end ownership, from source systems to analytics consumers. /liliYou simplify complex operational data landscapes without losing critical process detail. /li /ulh3What You Bring /h3ulliHands-on experience building and operatingproduction data pipelinesin operational or industrial environments. /liliStrongSQLexpertiseand experienceoptimizingqueries for operational workloads. /liliProven experience withETL / ELT pipelineshandling process and execution data. /liliHands-on exposure to historians (PI), MES, instrument data, or similar OT systems. /liliSolid understanding of data quality, lineage, traceability, and governance ideally in regulated (GxP) environments. /liliExperience 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. /liliBackground in biopharma, manufacturing, or operations datais strongly preferred. /liliEducation:Degree in Engineering, Data Science, Computer Science, or a related technical field preferred — equivalent operational experience will be considered. /li /ulpEvery 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. /ppPeople 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. /ppLonza 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. /p /p