The posting
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



