A better business. A better world. A better you. At Unilever you are more than your job title, you are part of the world’s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us.
We believe that Unilever is unlike any other organization. We seek long-term sustainable growth through responsible business practices and product innovation, providing our consumers with exceptional brand experiences, today and tomorrow.
Background & Purpose of the Job
Work alongside brilliant and inspiring business leaders and colleagues. If you want to feel proud of what you do and make others proud too, join us. Get a glimpse into life at Unilever and discover how you can help make a better business, a better world and a better you.
Who You Are & What You’ll Do
The Process Engineer stagiare is a member of the Engineering Team responsible for technical/process production support at Unilever’s Casalpusterlengo plant.
Working closely with the Manufacturing manager supporting and proposing the activities related to the process continuous improvement on the production lines
Partecipate actively in production daily meetings
Cooperate with engineering tasks
Collaborate with SHE and Quality manager on safety and quality issues
Working closely with area leader and technicians
Support the Implementation of the KPI(s), collect and analyze processing performance data for innovation projects
Use process knowledge to help develop and deliver novel products and processes for new consumer offerings and provide strategic supply chain advantage.
Supporting the Factory capability analysis (equipment lines etc) for innovation readiness
Master’s Degree in Process, Industrial, Mechanical or Chemical Engineering
Strong team player with good communication and organizational skills
Fluent English and Italian
Fast learner, open minded and growth mindset
Having a “Can Do” attitude and result oriented
Strong problem solving and creative thinking skills and attention to details, data driven (uses data to support recommendation)
6 months full time (40h/w)