Logistic Engineer
Pubblicato il 02-10-2026 - Altro in Tolentino
As part of the Supply Chain team at Poltrona Frau in Motion, the position contributes to the delivery of unique and highly sophisticated interior solutions for luxury automobiles, premium-class airline cabins, and yachts.
Main Activities Develop and maintain relationships with suppliers to ensure efficient delivery of supplies and materials
Review and analyze data and flows to determine potential issues and suggest solutions
Conduct research on new technologies related to shipping or logistics to identify potential applications within the company's operations
Develop and maintain relationships with customers to ensure the company maintains high levels of service over time
Review current operations to identify opportunities to improve efficiency and reduce costs, including implementing new technologies and logistic innovations
Ensure that all materials are available where and when they are needed, in compliance with safety regulations
Develop and implement plans for the transportation of materials from one location to another
Analyze customer order schedules,
scheduling production and shipments to the customer within the correct delivery times and maintaining a high level of service
Education and Experience: Degree in Management Engineering or Mechanical Engineering
At least two years of experience in similar positions
Knowledge of techniques, tools, and methods for analyzing data from production systems and material flows
Knowledge of different types of material sourcing from suppliers and within the production plant
Knowledge of techniques and tools necessary to control processes, identify risk factors, and related development and implementation of solutions aimed at increasing efficiency and reducing the risk level
Knowledge of the Office Package, particularly Excel
Knowledge of applications for logistics/warehouse management, preferably Microsoft Dynamics F&O;
Skills and Abilities: Relational and communication skills
External customer orientation
Data analysis ski