Truck Planner
Pubblicato il 17-08-2026 - Trasporto e logistica in Milano
CLdN is a leading provider of integrated quay-to-quay and door-to-door logistics solutions. Founded in 1929, CLdN ensures reliable, cost-effective transport that links the major economic areas of Europe. With 30 ships and more than 200 sailings a week, CLdN provides shortsea connections between the European continent, the United Kingdom, Ireland, Iberia and Scandinavia and offers the lowest CO2 footprint of all Western European RoRo operators. CLdN's cargo and multimodal services have a Europe-wide reach using CLdN's extensive network of ships, terminals and equipment. CLdN's 3,000 employees ensure that it fulfills its mission: to excel as an integrated provider of maritime links. Are you ready to take your first or next step in logistics? Do you enjoy problem-solving, coordinating, and keeping a clear overview in a fast-paced international environment?
Then this could be the role for you
In order to strengthen our operations in the Italian market, we are looking for an enthusiastic Truck Planner – Multimodal Logistics to join the Operations team of CLdN Cargo in Milan.
CLDN Cargo Agencies Italy S.r.l. is the Italian operational arm of CLdN Cargo, one of Europe's leading multimodal logistics groups. Based in Milan, our team manages the full spectrum of multimodal transport services for CLdN Cargo's Italian operations — combining road, rail and short-sea shipping to deliver efficient, sustainable door-to-door solutions for our clients. We are a dynamic, international team in a phase of significant growth, and we are looking for people who want to grow with us.
Within this challenging position, you will be the backbone of our daily multimodal transport planning, ensuring that our truck operations across Italy and beyond run smoothly, efficiently and on time. No two days are the same — and your decisiveness and proactive mindset will make a real difference.
Key Responsibilities
Plan daily truck movements across the Italy multimodal network, selecting optimal routes and