EI&C PI Engineer

Turn Industrial Data into Actionable Insights

Join a team dedicated to ensuring the seamless performance of critical manufacturing systems. This role focuses on managing and optimizing PI systems and related infrastructure to support manufacturing and engineering operations. You will collaborate with cross-functional teams while applying a strong understanding of data integration, analytics, and compliance within a regulated environment.

Key Responsibilities

• Administer and maintain PI Data Archive interfaces, connectors, and supporting infrastructure.
• Configure and support PI Asset Framework (AF) templates, hierarchies, attributes, and Event Frames (EF).
• Develop and maintain PI Analytics, KPIs, calculations, and data evaluation solutions.
• Design, implement, and troubleshoot interfaces between PI and systems such as DeltaV, PLCs, MES, LIMS, and enterprise applications.
• Develop integrations and applications using PI SDK, AF SDK, PI Web API, REST APIs, and SQL-based solutions.
• Support data sharing and reporting platforms, including Power BI and other analytics tools.
• Ensure system reliability through monitoring, troubleshooting, lifecycle management, upgrades, and patching.
• Create and maintain GxP-compliant documentation, support validation activities, and ensure data integrity compliance.
• Collaborate with Automation, Manufacturing, Engineering, Data Analytics, and IT teams on various initiatives.

Essential Skills and Requirements

• Degree in Automation Engineering, Electrical Engineering, Computer Science, Information Technology, or a related field.
• Strong IT background, including experience with servers, databases, networking, virtualization, and system integrations.
• Hands-on experience with PI Data Archive, PI Asset Framework (AF), Event Frames (EF), PI Interfaces and Connectors, and PI Analytics.
• Proficiency with PI SDK, AF SDK, and PI Web API.
• Experience in GMP-regulated environments and GxP documentation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Fluency in English and/or German.
• Right to work in Switzerland or hold an EU passport.

Preferred Qualifications

• Experience in pharmaceutical or biotech manufacturing.
• Knowledge of DeltaV, MES, SCADA, and industrial automation systems.
• Familiarity with Power BI, SQL databases, and data analytics platforms.
• Understanding of OT cybersecurity and data governance principles.