Automation Engineer (m/f/d)

Location: Kaiseraugst

Contract duration: 1 year/possible extension

Key Responsibilities

Automation & Operational Engineering

• Support and maintain existing and new automation systems integrated into the site infrastructure
• Ensure continuous availability and reliability of production systems
• Perform operational engineering activities for packaging and small-batch packaging equipment
• Implement system modifications, troubleshooting, and efficiency improvements

Process Optimization & Innovation

• Continuously optimize process plants and automation systems
• Evaluate, test, and recommend new automation technologies
• Support business partners in developing innovative production and packaging solutions

Project Engineering

• Proactively support the definition and initiation of investment and automation projects
• Prepare cost estimations, schedules, and technical proposals
• Independently manage sub-projects across all project phases
• Ensure responsibility for technical solutions, timelines, budgets, and resources

Collaboration & Compliance

• Work within interdisciplinary teams consisting of internal and external stakeholders
• Contribute to or lead automation-related workstreams within projects
• Support audits and inspections in GMP and HSE environments
• Ensure compliance with pharmaceutical industry standards and regulatory requirements

Requirements

• Completed vocational training, technician certification, or university degree Automation Engineering, Electrical Engineering, Technical Computer Science or a comparable technical field
• Fluent German and English
• Minimum 5 years of professional experience in automation engineering
• Experience in pharmaceutical or regulated production environments is strongly preferred
• Strong experience with highly automated industrial process systems
• Advanced knowledge of automation platforms such as: Siemens PCS7, Siemens TIA Portal,WinC or similar systems (e.g., B&R)
• Experience with vertical system integration, including connections to: MES systems, Process historians (e.g., PI systems), automation pyramid architectures
• Solid understanding of GMP and GAMP guidelines