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

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

Raron Vollzeit Vor Ort
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pData Engineer - Process Analytics Data Intelligence 80-100% (m/f/d) /ppRelocation 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. /ppWe 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 /ppThis 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. /ph3What you'll get: /h3pAn agile career and dynamic working culture. /ppAn inclusive and ethical workplace. /ppCompensation programs that recognize high performance. /ppIn 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 9cd58bc563c44174b5a4f5fedd /ph3What You Will Do: /h3pDesign, 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. /ppReplace manual, file-based data handling with governed, versioned and traceable data flows that stand up to daily operational use. /ppImplement and enforce data quality checks, validation rules and monitoring to ensure data reliability at scale in an operational environment. /ppDeliver analytics-ready datasets (clean schemas, consistent semantics, time-aligned data) to downstream BI, advanced analytics and modeling layers supporting operational decision-making. /ppWork closely with MSAT, Process Development, Automation, QA, IT and global data teams to align data models, definitions and integration patterns across the organization. /ppContinuously improve pipeline performance, robustness and maintainability in line with operational priorities. /ph3What we are looking for: /h3pProven experience building, operating, and optimizing production-grade data pipelines in manufacturing, industrial, or operational environments. /ppStrong SQL expertise with the ability to design efficient data models and optimize queries for high-volume operational workloads. /ppHands-on experience with ETL/ELT pipeline development and integration of process, execution, and operational data sources. /ppPractical knowledge of OT systems, including MES, PI Historian, instrument data, or similar industrial data platforms. /ppSolid understanding of data quality, lineage, traceability, governance, and compliance, ideally within GxP-regulated environments. /ppExperience with Azure data services, including Azure Data Factory, Azure Data Lake/Blob Storage, Git-based version control, and cloud-native data architectures. /ppBackground in biopharma, life sciences, manufacturing, or operations data, with the ability to translate complex operational processes into scalable data solutions. /ph3About Lonza: /h3pAt 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. /ppInnovation 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. /ppReady to shape the future of life sciences? /pulliTake ownership, step forward, and enjoy meaningful responsibility /liliLove solving problems and thrive in a complex, fast-moving environment /liliAre curious, always looking to learn and improve /liliWork collaboratively, contributing to something bigger than yourself /liliAre motivated to make a difference through work that impacts customers and their patients /li /ulh3Why Lonza: /h3pWe 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. /ppbWe are the makers of the medicines of tomorrow. /b /p #J-18808-Ljbffr

Data Engineer – Process Analytics & Data Intelligence 80-100% (m/f/d) in Raron Arbeitgeber: Lonza Group

Lonza ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, ihre Karrieren selbst in die Hand zu nehmen und aktiv zur Verbesserung der Lebensqualität von Millionen Menschen beizutragen. Mit einem starken Fokus auf Teamarbeit und kontinuierliche Verbesserung in einem dynamischen Umfeld in Visp, Schweiz, profitieren Mitarbeiter von umfangreichen Wachstumschancen, einer positiven Arbeitskultur und der Unterstützung bei Umzügen, um sich in dieser innovativen Branche weiterzuentwickeln.

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Kontaktdaten:

Lonza Group Recruiting-Team