Process Engineer

2 giorni fa

Lodi LO, Provincia di Lodi; Lombardia, Italia Unilever Tempo pieno
Overview Qualifiche, competenze e l'esperienza necessaria per questo ruolo sono disponibili nella descrizione completa riportata di seguito. As a Process Engineer at our Casalpusterlengo site, you will drive process improvements within Manufacturing Operations. You'll apply WCM-based methods to reduce defects, waste, and losses while collaborating across factory, engineering, production, safety, and quality teams. You will lead digitalisation efforts and coach line teams in problem-solving and CI techniques. This role offers hands-on impact on performance, capability building, and cross-functional innovation in a global consumer goods environment. Retribuzione / Benefits Smart working Health & life insurance Company shop & employee discounts Mental & physical wellbeing programs Collaborate with Factory, Engineering, Production, Safety, and Quality teams to eliminate losses, reduce waste, and improve manufacturing performance Identify, propose, and support continuous improvement initiatives to optimize production processes and operational efficiency Analyse workflows and process performance data to design, implement, and validate process enhancements Monitor KPIs and performance metrics to assess effectiveness of improvements and identify new opportunities Participate in daily production meetings and develop reports on process status, changes, and results Support innovation projects, including assessment of factory capabilities, production lines, and equipment requirements Drive digitalisation initiatives and implement digital solutions across manufacturing operations Act as a technical coach and trainer, developing line teams' capabilities in root cause analysis, problem-solving, and process improvement methodologies Strong analytical skills with data interpretation for decision-making Fluency in spoken and written xrdztoy English Team collaboration Knowledge of Continuous Improvement methodologies such as WCM, Lean Manufacturing, and Six Sigma (advantage) Data-driven mindset and ability to use data to drive recommendations