A Swiss family-owned company and global industrial solutions provider in food processing and advanced materials manufacturing, contributing to food security and energy efficiency.

Its technologies are used across the food, automotive and communications industries worldwide, and every day billions of people come into contact with products made on its equipment.

• Strengthen the team's capabilities in industrial data analytics, process understanding and operational excellence within the M2M R&D department
• Bridge engineering, analytics, software and cloud operations and help transform industrial data into customer value
• Investigate and analyze complex industrial processes and systems and derive actionable insights from large, real-world datasets using Python
• Turn insights into scalable digital solutions and strengthen data-driven product development
• Support research and experimentation activities and collaborate closely with researchers, software engineers, data scientists and domain experts
• Improve operational excellence and DevOps maturity of the team

Essential:

• Senior-level engineering or analytical background
• Strong data analytics and investigation skills
• Ability to analyze complex industrial systems and derive actionable insights
• Hands-on Python experience
• Experience working with large, real-world datasets
• Strong problem-solving and communication skills
• Ability to work in a multidisciplinary R&D environment

Preferred:

• DevOps experience (CI/CD, cloud operations, monitoring)
• Data engineering and data pipeline development
• Industrial automation or sensor systems knowledge
• Manufacturing or process-industry experience
• Machine learning and statistical modelling experience
• Customer-facing project experience

Ideal Candidate Profile
A technically hands-on engineer who enjoys investigating complex industrial processes, working with data, and turning insights into scalable digital solutions. The candidate should be comfortable operating across analytics, software, and cloud environments while collaborating closely with researchers, software engineers, data scientists, and domain experts.

Expected Impact:

• Increase the team's analytical capabilities
• Strengthen data-driven product development
• Support research and experimentation activities
• Improve operational excellence and DevOps maturity
• Bring additional industrial and systems-thinking expertise into the team

• A hands-on role in a multidisciplinary R&D team working with real industrial data
• Real impact on the team's analytical capabilities and on data-driven product development
• Space to support research and experimentation and to bring industrial and systems-thinking expertise into the team
• Work across analytics, software and cloud environments and help improve operational excellence and DevOps maturity

• We are a reliable and stable company with an international reach
• If a project ends, we immediately offer another one
• We have projects from more than 200 different companies
• We guarantee timely invoice payments and minimal administration
• We organize great company events for our entire IT community
• We provide free accounting and tax consulting
• We pride ourselves on a personal approach and fairness, you can rely on us