Junior Contract Logistics Process Engineer

Kuehne+Nagel; Mantova; On-site; EUR 12,000 - 18,000; Full time

Benefits offered by this job

Development opportunities

International exposure

Flexible work environment

Job summary

Kuehne+Nagel invites applications for a Contract Logistics Process Engineer intern position at our Mantua campus. You will help design, analyze, and optimize warehouse processes, working with Operations, Quality, and Data Analysis teams to drive measurable improvements.

This role targets candidates early in their careers with an engineering, logistics or related background, eager to learn forecasting and reporting tools while applying basic process improvement methods.

Qualifications

• Applications from candidates at their first professional experience are welcome.
• Degree in Engineering, Logistics, Supply Chain Management, Economics or related fields, or currently enrolled in a relevant academic program.
• Alternatively, ITS qualification or ongoing studies with a focus on logistics, supply chain or industrial/operational processes.
• Interest in warehouse operations, process analysis, continuous improvement and data-driven decision-making.
• Basic analytical skills and ability to work with operational data, KPIs and performance indicators.
• Good communication and organizational skills, with a proactive and hands-on approach.
• Good knowledge of English would be appreciated.

Responsibilities

• Support the mapping and analysis of warehouse processes and assist in translating process maps into measurable drivers, costs and tariff components.
• Participate in shopfloor observations and data collection activities to understand process execution and identify practical improvement actions.
• Assist in identifying deviations from standard processes and gaps between expected and actual performance.
• Support analysis of productivity, quality and operational performance data to detect inefficiencies and opportunities.
• Collaborate with Process, Quality and Data Analysis teams to identify wastes and quick fix actions.
• Contribute to developing tools and dashboards that provide visibility on performance, workload trends and capacity gaps.
• Support creation and maintenance of forecasting tools to anticipate workload and capacity needs.
• Learn and apply basic process improvement and problem-solving methodologies under guidance of seniors.

Skills

Analytical skills

Data analysis

Communication

English language

Education

Engineering / Logistics / Economics degree

ITS qualification or ongoing studies

Tools

Excel

Dashboards

Job description

It’s more than a job

As part of the Contract Logistics team at Kuehne+Nagel, you will play a key role in designing, managing, and optimizing solutions that keep goods moving efficiently. Whether you’re leading a team, engineering processes, or driving projects, your work ensures that our customers’ products are stored, handled, and delivered with precision. From everyday essentials to seasonal items, what we do in Contract Logistics impacts businesses and communities around the world. At Kuehne+Nagel, your contribution goes far beyond the warehouse—it helps shape the flow of global trade.

Contract Logistics Process Engineer works within Contract Logistics. In this case, She/He will operate for adidas Campus South, our new fully automated warehouse located in Mantua, which, with over 130,000 square metres, will represent an unparalleled example of excellence and innovation in automated technology operations.

The Process Engineer will support the analysis, mapping and improvement of warehouse processes, working closely with Operations, Quality, Process and Data Analysis teams. The role will contribute to identifying process deviations, inefficiencies and operational wastes, supporting the definition of quick fix actions aimed at improving productivity, process stability and visibility.

The intern will also support the development of reporting and forecasting tools to help operational departments monitor performance, anticipate workload and capacity needs, and make data-driven decisions. In addition, the role will contribute to translating operational processes into measurable drivers, costs and/or tariff components, supporting cost analysis, productivity evaluation and business case preparation.

This position is designed for candidates at their first professional experience, with a student background in engineering, logistics, process analysis, operational performance and continuous improvement.

How you create impact

• Support the mapping and analysis of warehouse processes and assist in translating process maps into measurable drivers, costs and/or tariff components, supporting cost analysis, productivity evaluation and business case preparation
• Participate in shopfloor observations and data collection activities to better understand process execution and identify practical improvement actions
• Assist in identifying deviations from standard processes, highlighting gaps between expected and actual operational execution
• Support the analysis of productivity, quality and operational performance data to detect inefficiencies, bottlenecks, recurring issues and improvement opportunities
• Collaborate with Process, Quality and Data Analysis teams to identify operational wastes, process deviations and quick fix actions aimed at improving productivity and process stability
• Contribute to the development of tools and dashboards that provide visibility on operational performance, workload trends, capacity gaps and process adherence
• Support the creation and maintenance of forecasting tools to help operational departments anticipate workload, capacity needs and potential criticalities
• Learn and apply basic process improvement and problem-solving methodologies under the guidance of senior team members

What we would like you to bring

• Applications from candidates at their first professional experience are welcome
• Degree in Engineering, Logistics, Supply Chain Management, Economics or related fields, or currently enrolled in a relevant academic program
• Alternatively, ITS qualification or ongoing studies with a focus on logistics, supply chain or industrial/operational processes
• Interest in warehouse operations, process analysis, continuous improvement and data-driven decision-making
• Basic analytical skills and ability to work with operational data, KPIs and performance indicators
• Good communication and organizational skills, with a proactive and hands-on approach
• Good knowledge of English would be appreciated

What’s in it for you

By joining the Kuehne+Nagel team, you will have the opportunity to work in a safe and stable environment, with a strong focus on physical and mental well-being. We offer professional growth and development opportunities, including at an international level.

Joining Kuehne+Nagel means being part of a company that genuinely invests in people:

• Development first – real opportunities for learning and growth.
• Teamwork that matters – experienced colleagues ready to support you.
• Innovation encouraged – we welcome new ideas and continuous improvement.
• Healthy balance – a supportive and flexible work environment

Who we are

Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.

As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.

Kuehne + Nagel is an equal employment/affirmative action employer. If you require an accommodation for any part of the online application process due to a disability, please contact the Employee Services HR Help Desk at 1-800-267-1326 during the hours of 8:00am - 5:00pm EST; Monday through Friday or via e-mail at: [e-mail] with the nature of your request. We will answer your inquiry within 24 hours.