Information Technology Engineer

For our client operating in the Pharma industry in Visp, we are looking for an IT Engineer

Start date : asap

Duration: 12 months + possible extension

Location: Visp

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.