Design, implementation and maintenance of the Digital Manufacturing & Data Lab infrastructure, including automation systems, virtualized environments and network configurations
Development, configuration and support of Siemens PCS7 systems (including WinCC, Simatic Batch) for laboratory and pilot environments
Build and maintain simulation capabilities and digital twins using SIMIT to enable virtual commissioning, testing and training scenarios
Administer and operate the lab’s IT/OT infrastructure, including virtualization, systems and network components
Integrate controllers, field devices and laboratory equipment into cohesive automation and data environments
Provide and maintain internal tools, templates and automation libraries for lab users
Support users (engineers, data scientists) in using lab systems for experiments, testing and troubleshooting
Participate in automation and digitization projects from requirements management through prototyping and implementation
Maintain system documentation, ensure configuration management and support testing activities where applicable
Identify improvement opportunities for the lab environment and introduce new technologies and best practices

University degree in Automation Engineering, Electrical Engineering, Computer Science or a related technical field
Practical experience with distributed control systems, ideally Siemens PCS7, WinCC and Simatic Batch, as well as simulation tools such as SIMIT or similar platforms
Solid understanding of automation hardware, PLCs, controllers, field instrumentation, system integration and industrial communication protocols (e.g. OPC UA, Profinet, Modbus)
Practical knowledge of IT/OT infrastructure, including virtualization, Windows administration, TCP/IP networks, virtual environments (e.g. VMware, Proxmox) and network segmentation in laboratory setups
Experience with data systems (e.g. Historian, MES, analytics platforms), their integration with automation systems, and experience in virtual commissioning and digital twin approaches
Strong problem-solving skills to work across domains, act as a technical all-rounder and translate user needs into practical technical solutions
Committed, self-motivated, structured and cooperative personality with a hands-on mentality; strong knowledge of the German language is considered a major advantage.

60% employer contribution to the pension fund and the option for additional voluntary savings
Access to the Swibeco benefits platform with discounts from external partners
Fresh, healthy meals in our staff canteen and a variety of free sports activities on campus

Automation Engineer – Digital Manufacturing, Data Lab

Key skills