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Process Engineer IT/OT Automation

Pubblicato il 23-10-2026 - Borgwarner in Monza

Overview

As a Process & Manufacturing Engineer, you bridge OT and IT to design, optimize and digitalize manufacturing processes using automation and AI. You will support new product launches, process development and digital transformation, collaborating across production, quality, engineering and sales to提升 safety, quality and productivity. You will implement IT/OT integrations, analyze data for OEE gains and lead AI-driven solutions for process optimization and predictive maintenance. This role offers exposure to Industry 4.0/5.0 initiatives and cross-functional global projects that shape manufacturing strategies.

Responsabilità

- Design and implement IT/OT integration solutions linking production equipment, automation systems, MES, ERP and cloud platforms
- Analyze manufacturing processes and data to improve OEE, reduce waste and enhance performance
- Develop and support automation, robotics, digitalization and AI-based solutions for optimization and quality
- Collaborate with Engineering, Production, Quality and Sales to define manufacturing strategies and projects
- Create and maintain manufacturing documentation, standards and procedures ensuring quality and safety compliance
- Monitor equipment performance and identify opportunities to improve reliability, capacity and ergonomics




- Participate in feasibility reviews and support continuous improvement across operations
- Coordinate digital transformation and Industry 5.0 projects with stakeholders and partners
- Contribute to cross-functional and international projects using structured problem-solving methodologies

Requisiti fondamentali

- Bachelor’s Degree in Engineering (Mechatronics, Automation, Industrial, Manufacturing, Computer Engineering or equivalent)
- 3+ years of experience in Manufacturing/Process Engineering, Industrial Automation or IT/OT integration in manufacturing
- Knowledge of manufacturing processes, automation systems, PLCs, SCADA/HMI and industrial networks
- Familiarity with PFMEA, OEE analysis and problem-solving tools
- Basic knowledge of data analytics, industrial databases, and AI/Machine Learning applications is a plus
- Strong analytical, project management and teamwork skills
- Good command of English
- Experience in automotive or global manufacturing environments is preferred

- Analytical mindset
- Teamwork and cross-functional collaboration
- Project management
- PLCs, SCADA/HMI, industrial networks
- IT/OT integration between production systems and ERP/MES
- Automation, robotics and digitalization

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