A quality process and digital transformation engineer

Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.

Avery Dennison is an equal opportunity employer

Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via Requestaccomodation@eu.averydennison.com.

Job Description

We are looking for a Quality Process and Digital Transformation Engineer to join our European Central Quality department.

You will play a key role in driving the digital transformation journey of the quality processes. You will start by working on existing initiatives to replace or improve obsolete IT systems and to automate and optimize manual tasks or non optimized business processes. You will also be a partner of local and central Quality teams in supporting them via data analysis and reporting. After developing a deeper understanding of our processes, you will be key to identifying new hidden opportunities for digitalization and to transform our way of working. You will help the full organization in becoming smarter and a pioneer of “Industry 4.0” in our segment.

Your responsibilities will include:

• Innovate, automatize and improve visualization of scorecards, and QA Management System KPI’s
• Automatization of existing manual quality business processes and improve non efficient quality processes.
• Support Quality team during problem solving via ad-hoc data extractions, statistical analysis and presenting results in a clear manner
• Support the migration to new IT systems.

Qualifications

• Education: Degree in Engineering, Business Analytics or equivalent.

Technical Skills:

• Knowledge and experience with BI tools like IBM Cognos (or equivalent: PowerBI, Tableau…).
• Knowledge of Google Workspace  (or equivalent Office 365)
• Familiarity with operational excellence principles (Lean Six Sigma), and project management (desirable).
• Experience in database management and SQL (strong plus).
• Proficiency in Python, JavaScript, HTML (strong plus).
• Basic understanding of machine learning techniques and algorithms (plus).
• English (mandatory), French ( plus )

Soft Skills:

• Self-starter with strong entrepreneurial spirit and adaptability.
• Creative mindset, comfortable generating new ideas and projects.
• Excellent communication and collaboration abilities.
• Comfortable with fast-paced environments
• Openness for business travel required

Additional Information

Why join us?

The Avery Dennison Luxembourg site in Rodange is a growing production site of 540 people, staffed by close-knit, multidisciplinary teams with a wide variety of nationalities. It is the factory producing the largest volume of self-adhesive materials in the world. The site is also at the forefront in reducing its carbon footprint.

We offer:

• structured integration and development of your skills
• competitive remuneration
• flexibility in the workplace 
• development opportunities including internationally

For more information on our Diversity & Inclusion approach, please click on this link: https://www.averydennison.com/en/home/about-us/diversity-and-inclusion.html