Process Control & Data Engineer (f/m/d) - Hybrid

Overview

In this role you enable digitization of manufacturing by shaping how process and product data are captured, structured, and used to improve process control, efficiency, and product quality at a Pleinfeld site. You will own and improve data systems and apply SPC methods across cross-functional teams to drive measurable improvements. You contribute to the site’s digital roadmap and future AI-enabled engineering, while collaborating with engineering, production, IT, quality, and project teams. This is a growth phase role with impact on data visibility, traceability, and quality commitments.

Leistungen / Benefits

• comprehensive rewards program
• Associate Stock Ownership Plan
• profit-sharing opportunities
• flexible benefits and well-being programs

Verantwortungsbereiche

• Define and structure process and product data for key manufacturing areas to enable data-driven decision-making
• Implement statistical process control methods to improve stability and drive continuous improvement
• Own and improve manufacturing data systems for reliable capture, availability, and usability
• Develop practical solutions to capture data from shop-floor operations
• Build and enhance KPI dashboards translating manufacturing data into clear insights
• Set up and maintain business processes with engineering, production, quality, and IT to turn data insights into improvements
• Strengthen data traceability to support root cause analysis and audits
• Translate customer quality and documentation requirements into data solutions
• Contribute to the site’s digital roadmap by identifying scalable opportunities
• Lead technical projects from concept through implementation with cross-functional teams

Zentrale Anforderungen

• Bachelor’s degree in a STEM field
• Minimum of 5 years in a complex manufacturing environment
• Working knowledge of statistical methods, data analysis, and process optimization
• Experience translating complex data into clear insights for cross-functional audiences
• Proven ability to analyze data and drive measurable improvements in performance, efficiency, or quality
• Self-directed and analytical with the ability to manage multiple priorities
• Ability to quickly learn new technologies and processes in a changing environment
• Strong communication skills for collaboration across engineering, production, quality, and IT
• Fluent in German and English (written and spoken)
• Willingness and ability to travel up to 10%
• cross-functional collaboration
• analytical mindset
• effective communication
• statistical methods
• data analysis
• process optimization