C PI Engineer (m/f/d)

For our international pharma client we are looking for a C PI Engineer (m/f/d).

Workload: 100%

Location: Visp

Duration: 12 months (possibility of extension)

5 days per week onsite

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 initiatives.

Required Qualifications

• Degree in Automation Engineering, Electrical Engineering, Computer Science, Information Technology, or similar.
• Strong IT background including servers, databases, networking, virtualization, and system integrations.
• Hands-on experience with:
• PI Data Archive
• PI Asset Framework (AF)
• Event Frames (EF)
• PI Interfaces & Connectors
• PI Analytics
• PI SDK / AF SDK / PI Web API
• Experience in GMP-regulated environments and GxP documentation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Fluent English and/or German.

Preferred Qualifications

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

Key Competencies

• PI System Administration
• Process Data Historian Management
• PI AF & Event Frames
• Data Analytics & Reporting
• System Integration & APIs
• GMP Documentation & Validation
• IT/OT Infrastructure
• Troubleshooting & Root Cause Analysis
• Digital Manufacturing & Industry 4.0
• Cross-Functional Collaboration