Process Engineer (m/f/d)

Process Engineer (m/f/d)

Where do people love what they do, and being great at what they do?

At Swisslog, that’s where! Our teams are the heart of a world-leading Robotics company that’s harnessing the power of technology to shape the future of intralogistics. The result? We’re transforming performance and efficiency for customers across the globe, giving them the vital edge in their markets.   Responsibilities Make an impact

• Analyze the performance of our highly automated intralogistics facility and identify opportunities to increase throughput, efficiency, and system availability.
• Transform complex operational and process data into meaningful KPIs, dashboards, and actionable recommendations that support informed decision-making.
• Identify bottlenecks, inefficiencies, and optimization opportunities across the entire material flow and develop sustainable solutions.
• Conduct data-driven root cause analyses and support the resolution of operational challenges in a sustainable manner.
• Collaborate with Operations, Engineering, and Continuous Improvement teams to implement improvement measures and measure their effectiveness.
• Support customer workshops, performance reviews, and optimization projects, actively contributing to the continuous enhancement of system performance.
• Work with modern warehouse management, material flow, and automation systems, utilizing tools such as Power BI to increase transparency and promote data-driven decision-making.
• Act as a key interface between Operations, Engineering, and the customer, helping to shape and further develop one of the most advanced automated logistics environments.

Application Requirements What you need to succeed

• Completed degree or technical qualification in Logistics, Industrial Engineering, Automation Engineering, Data Analytics, or a comparable field.
• Initial professional experience in intralogistics, warehouse automation, manufacturing, or distribution (ideally with exposure to automated warehouse and conveyor systems, as well as knowledge of Lean Six Sigma or Continuous Improvement methodologies)
• Experience in analyzing processes, KPIs, and operational performance data.
• Good understanding of warehouse management, material flow, and automation systems (e.g., WMS, WCS, PLC, or SCADA).
• Experience creating and enhancing KPI reports, dashboards, and performance analyses.
• Proficiency in analytics and reporting tools, ideally Power BI, Elastic, or comparable business intelligence solutions.
• Strong analytical skills combined with a structured and solution-oriented approach to work.
• Excellent communication skills and confidence in interacting with internal and external stakeholders.
• Business-fluent German and English, both written and spoken