Supply Chain Internships
Pubblicato il 04-10-2026 - Industria agroalimentare in Parma
At Barilla, we believe that every great journey begins with passion and a bold vision. From our humble beginnings in 1877 in a small shop in Parma, Italy, we've blossomed into a global leader in the food industry, guided by our commitment to progress and excellence.
Today, Barilla is an international group present in more than 100 countries and we are proud to be recognized as the world's top food company by reputation. With 22 beloved brands in our portfolio, we are world leader for pasta, the number one choice for ready-made sauces in Europe, leader for bakery products in Italy, and for crispbread across Scandinavia with Wasa.
Our success story is written by a passionate team of almost 9,000 dedicated employees across 30 plants and offices worldwide, all united by a shared mission to nourish the future with purpose and passion.
Are you ready to add your unique flavor to our journey?
Kick-start your career in one of the world's leading food companies.
Job purpose
Are you passionate about data,
problem solving and supply chain processes? Join our Supply Chain Internship Program and gain hands‐on experience in a dynamic international environment, working on real business challenges that contribute to delivering products to consumers every day.
Main activities
Production Planning
The team is responsible for ensuring the right products are available at the right time by balancing demand, production capacity and material availability. In this role, you will support planning activities through data analysis and reporting, monitor inventory levels and material availability, and contribute to initiatives aimed at improving planning efficiency and reducing supply risks. You will collaborate with different stakeholders across Supply Chain, Procurement and Packaging teams, gaining exposure to end‐to‐end planning processes.
Distribution Planning (Stock & Flows)
The team manages inventory and product flows across the supply network to ensure optimal product availability while m