Within the Process Analytics & Data Intelligence (PADI) team, embedded directly in Operations, we build production-ready data infrastructure that connects process, execution, and development data into a coherent and trusted foundation used daily by MSAT, Process Development, Operations, and global data teams. We are looking for a Data Engineer – Process Analytics & Data Intelligence in Visp to design, build, and operate 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.
Tasks
- 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.
Requirements
- 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.
Benefits
- Relocation assistance is available for eligible candidates and their families, if needed.
- An agile career and dynamic working culture.
- An inclusive and ethical workplace.
- Compensation programs that recognize high performance.
- Competitive salary.
- Numerous lifestyle, family, and leisure benefits.
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Über uns
Das Team
The Process Analytics & Data Intelligence (PADI) team is embedded directly in Operations and collaborates closely with MSAT, Process Development, Automation, QA, IT and global data teams.