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24 минуты назад

Process Engineering Specialist (80-100%) f/m/d (MES)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Process Engineering Specialist (MES): Supporting the deployment and adoption of Manufacturing Execution Systems across manufacturing units with an accent on process harmonization, project coordination, and scalable manufacturing solutions. Focus on translating manufacturing requirements into standardized MES designs, coordinating implementation milestones, and driving continuous improvement across sites.

Location: Quartino, Ticino, Switzerland; onsite

Company

hirify.global develops solutions that help industries operate more efficiently and sustainably.

What you will do

  • Support local project managers throughout MES implementation phases and monitor process engineering progress and escalations.
  • Coordinate stakeholders to deliver project milestones, deliverables, status updates, reports, and deployment documentation.
  • Work with the Global Manufacturing Manager and Process Competence Center to maintain consistency across MES deployments.
  • Collaborate with Operations, Quality, Engineering, IT, and Supply Chain teams.
  • Share lessons learned and contribute to continuous improvement of the global MES roadmap.

Requirements

  • Bachelor’s degree in electronic, industrial, or management engineering.
  • Good knowledge of Italian and English is required.
  • Proactive, positive, collaborative, and results-oriented approach.
  • Strong problem-solving orientation and willingness to take responsibility for assigned tasks and projects.

Culture & Benefits

  • Full-time fixed-term position with an 80–100% workload.
  • Opportunity to contribute to manufacturing transformation and operational excellence.
  • Cross-functional collaboration across manufacturing, engineering, quality, IT, and supply chain.
  • Work focused on standardized, scalable, and data-driven process optimization.

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