Lean Manufacturing Process Engineer - Leather Goods (Italy)

BoF Careers

Toscana

On-site

EUR 45,000 - 65,000

Full time

14 days+

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Job summary

Burberry is seeking a Manufacturing Process Engineer for its Leather Goods production network in Italy. You will drive operational excellence, improve manufacturing performance and collaborate with internal teams and external partners to deliver high-quality craftsmanship.

The role emphasizes lean principles, data-driven decision making, and the development of business systems to reduce lead times and optimise production processes.

Qualifications

  • Degree in Management Engineering or related discipline.
  • Experience in manufacturing environment with process improvement.
  • Strong analytical skills and ability to translate data into insights.
  • Experience supporting organizational change and continuous improvement initiatives.
  • Ability to build collaborative relationships across multiple teams.

Responsibilities

  • Monitor manufacturing performance and drive improvement initiatives to boost efficiency.
  • Collaborate with external manufacturers to evaluate performance and manage vendor ratings.
  • Support continuous improvement in cutting operations using lean principles and data-driven decisions.
  • Analyze workflows, supplier performance and processes to identify opportunities.
  • Collaborate with planning, purchasing, quality, logistics and production to reduce lead times.
  • Define and track production KPIs and report on performance improvements.

Skills

Analytical skills
Process improvement
Collaboration across teams
English proficiency
Data visualization

Education

Degree in Management Engineering or related discipline

Job description

Burberry is seeking a Manufacturing Process Engineer for its Leather Goods production network in Italy. You will drive operational excellence, improve manufacturing performance and collaborate with internal teams and external partners to deliver high-quality craftsmanship.

The role emphasizes lean principles, data-driven decision making, and the development of business systems to reduce lead times and optimise production processes.

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