Manufacturing Quality Engineer Internship

EssilorLuxottica

Rovereto

In loco

EUR 8900 - 13.000

Tempo pieno

25 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura apposita per questa offerta — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Canteen access
Leonardo learning platform

Descrizione del lavoro

EssilorLuxottica in Rovereto (TN) invites graduates with a technical or IT background to join the Manufacturing Engineering team and contribute to the plant's digital transformation. You will design and implement digital solutions for manufacturing, logistics, and operations, bridging engineering, data, and continuous improvement.

You will gather requirements, build dashboards and tools, apply Industry 4.0 concepts, and explore AI-based approaches to boost performance.

Competenze

  • Bachelor’s or Master’s degree in a technical field (Computer, Automation, Industrial).
  • Strong interest in digital technologies, automation and Industry 4.0.
  • Fluent Italian and good command of English.
  • Curiosity, learning mindset and collaborative approach.

Mansioni

  • Contribute to digital transformation of the plant with digital solutions.
  • Identify opportunities to improve operational efficiency using digital tools.
  • Collaborate with Production, Automation and BPI teams on digitalization.
  • Gather requirements and translate into effective digital tools.
  • Develop and maintain dashboards and digital workflows.
  • Explore AI-based applications to enhance plant performance.

Conoscenze

Digital technologies
Automation
Smart manufacturing
Programming familiarity

Formazione

Bachelor’s or Master’s degree in Computer/Automation/Industrial Engineering

Strumenti

Databases
Reporting systems

Descrizione del lavoro

If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products (such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions), iconic brands that consumers love (such as Ray-Ban, Oakley, Persol, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

Discover more by following us on LinkedIn!

Your Role

We are looking for a motivated graduate with a technical or IT background and a passion for automation, digital technologies, and innovation.

As part of the Manufacturing Engineering team, in our Rovereto (TN) Plant, you will contribute to the digital transformation of the plant by developing and implementing solutions that improve manufacturing, logistics, and operational processes, working at the intersection of engineering, data, and continuous improvement.

Main Responsibilities
  • Contribute to the digital transformation of the manufacturing plant by developing and implementing innovative digital solutions.
  • Identify opportunities to improve operational efficiency through digital tools, automation, and Industry 4.0 technologies.
  • Collaborate with Production, Automation, and Business Process Improvement (BPI) teams to drive digitalization initiatives.
  • Gather business requirements from operational stakeholders and translate them into effective digital solutions.
  • Support the implementation of digital projects aimed at enhancing manufacturing, logistics, and operational processes.
  • Analyze manufacturing and operational data to support performance monitoring and data-driven decision-making.
  • Develop and maintain dashboards, reports, and digital tools for plant operations.
  • Contribute to the digitalization of workflows, processes, and information management systems.
  • Explore and promote innovative technologies, including AI-based applications, to improve plant performance.
  • Support continuous improvement initiatives through data analysis, automation, and digital innovation.
Main Requirements
  • Bachelor’s or Master’s Degree in Computer Engineering, Information Technology, Automation Engineering, Mechatronics Engineering, Industrial Engineering, or related technical disciplines.
  • Strong interest in digital technologies, automation, and smart manufacturing environments.
  • Passion for Industry 4.0, Artificial Intelligence, and manufacturing digitalization.
  • Basic knowledge of data analysis and continuous improvement methodologies.
  • Familiarity with digital tools, databases, reporting systems, or programming languages is considered a plus.
  • Fluent Italian and good command of English.
  • Curiosity and strong willingness to learn and explore new technologies.
  • Creativity and innovative mindset, with the ability to propose and develop new solutions.
  • Analytical thinking and problem-solving attitude.
  • Proactive, collaborative, and results-oriented approach, with a passion for continuous improvement.
What’s In It For You

In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique, but have a glimpse of the benefits and perks you can have by choosing us.

  • A fast paced environment, where you will start giving your mark from day 0
  • Access to our company's canteen
  • Access to Leonardo, our learing platform
Recruiting process

Our recruitment process may vary; If you are selected, you will be contacted by our recruiters to guide you through the specific steps for your application

Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible.

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