IT Engineer

Main tasks:

• 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 and experience

• 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
• Software Development & Application Support
• DCS & MES Integration
• Database Management & SQL
• VBA, PowerShell & C# Development
• GxP Documentation & Validation
• System Testing & Commissioning
• Troubleshooting & Root Cause Analysis
• IT/OT System Integration
• Change Management & Version Control
• Cross-Functional Collaboration
• Experience in GMP-regulated environments and GxP documentation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Fluent English and/or German.

Nice to haves:

• 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.