EI&C PI Engineer

EI&C PI Engineer #

(m/f/d)

Freelance/temporary employment for a project

Visp

Start date: asap

Reference number: 897035/1

Responsibilities ###

• Administer, maintain, and optimize PI Data Archive systems and supporting infrastructure
• Configure and support PI Asset Framework (AF), templates, hierarchies, attributes, and Event Frames (EF)
• Develop PI Analytics, KPIs, calculations, and process data evaluation solutions
• Design, implement, and troubleshoot integrations between PI and manufacturing systems such as DeltaV, PLCs, MES, and LIMS
• Develop applications and interfaces using PI SDK, AF SDK, PI Web API, REST APIs, and SQL technologies
• Support data visualization, reporting, and analytics platforms including Power BI
• Monitor system performance and ensure reliability through upgrades, patching, and lifecycle management
• Create and maintain GxP-compliant documentation and support validation activities
• Ensure data integrity and compliance within GMP-regulated environments
• Collaborate with Automation, Manufacturing, Engineering, IT, and Data Analytics teams on digitalization initiatives

Profile ###

• Degree in Automation Engineering, Electrical Engineering, Computer Science, Information Technology, or a related discipline
• Proven experience with PI Data Archive, PI AF, Event Frames, PI Interfaces & Connectors, and PI Analytics
• Hands-on experience with PI SDK, AF SDK, and PI Web API development
• Strong IT infrastructure knowledge including servers, databases, networking, virtualization, and system integrations
• Experience integrating OT and IT systems within manufacturing environments
• Knowledge of GMP-regulated industries and GxP documentation requirements
• Experience with SQL databases, Power BI, and data analytics solutions
• Familiarity with DeltaV, MES, SCADA, and industrial automation platforms
• Strong troubleshooting, root cause analysis, and problem-solving capabilities
• Fluent in English; German is an advantage

Benefits ###

• Opportunity to work on critical digital manufacturing and Industry 4.0 initiatives
• Exposure to advanced process data historian and analytics technologies
• Collaboration with multidisciplinary engineering, automation, and IT teams
• Involvement in large-scale manufacturing and operational technology environments
• Diverse responsibilities across system administration, analytics, and integrations
• Opportunity to contribute to data-driven decision making in regulated production environments
• Professional growth within automation, data engineering, and digital transformation
• Dynamic international working environment
• Long-term planned projects within pharmaceutical and biotech manufacturing
• Continuous learning and development opportunities in modern industrial technologies