Nestlé Purina Petcare
Pubblicato il 08-09-2026 - Nespresso Deutschland in Bardi
Packing Engineer At Nestlé Purina we are committed to creating richer lives for pets and the people who love them, providing high quality nutrition for cats and dogs and doing more of what matters for pets, people and planet
We are looking for passionate technical talents who will support the installation, start-up and operation of modern and highly automated production systems during the launch of a new manufacturing site.
You will contribute to a project within a global organization committed to quality, safety and continuous improvement.
Position Snapshot
- Nestlé Purina Italy, Greenfield Project Mantova
- Permanent and full-time role
- Nestlé welcomes people with disabilities
- University Degree in Engineering
- Manufacturing projects management (”making it happen”): 3-5 years experience in capital investment projects development and implementation in food industry
- Fluency in English is required. Italian knowledge would be a plus.
- Compensation Package: CCNL Industria Alimentare, 1° Level, Gross Annual Base Salary €57.500,00.
Position Summary Ensure implementation and start-up phases of capital investment projects on the manufacturing site, following the project brief, design specifications and Nestlé standards.
A day in the life of a Packing Engineer:
- Take site constraints into account in the project definition and design
- Fulfill ''engineering'' project concept
- Organize project execution
- Mobilize resources (internal & external)
- Ensure the coordination with plant design
- Select and qualify contactors
- Coordinate contractors’ activities
- Ensure Nestlé standards are applied
- Help the Vertical Project Manager to review the Vertical Project brief
- Promote development of environment-friendly and sustainable solutions.
What will make you successful?
- Manufacturing projects management (”making it happen”): 3-5 years experience in capital investment projects development and implementation in food industry.
- Determination of methods to minimize the