Data Engineer

ABOUT US

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company.

We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers.

We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience.

Serving 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 2025 were $8.9 billion. Learn more at www.averydennison.com.

AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, BANGLADESH, CHINA, INDIA, INDONESIA, MALAYSIA, SINGAPORE, THAILAND AND VIETNAM, AND RECOGNIZED AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM.

ABOUT YOU

R ROLEAs a Data Engineer, you will serve as the technical architect and key builder for our APAC Smart Manufacturing roadmap in the operation and supply chain initiatives. This role involves designing, developing, and deploying end-to-end data pipelines and advanced solutions to optimize Ops and supply chain operations.

You will focus on data collection and integration across various enterprise systems, transforming raw industrial data into structured datasets, and developing robust predictive models and AI-driven solutions to drive operational efficiency and autonomous manufacturing actions.YOUR

MAIN RESPONSIBILITIES

• WILL INCLUDEAct as a technical consultant to the data analytics team in Operations & Supply Chain, ensuring data solutions directly address smart manufacturing roadmap.
• Deeply understand the operational pain points and business requirements of non-technical stakeholders and translate them into robust, technically feasible data architectures and digital solutions.
• Design, develop, and deploy production-ready machine learning models (including time-series forecasting, regression, classification, and anomaly detection) for high-impact use cases such as predictive maintenance, demand forecasting, and yield optimization.
• Develop and integrate edge-to-cloud computer vision pipelines and applications to automate quality inspections and shop-floor data capturing.
• Design and build robust data pipelines to collect, ingest, and clean raw data from diverse sources (MES, ERP, PLCs). Architect and engineer highly predictive features from noisy, high-dimensional industrial datasets for model training.
• Support and enhance internal AI Agents to deliver advanced manufacturing insights and user support.WHAT WE WILL BE LOOKING FOR IN YOUBachelor's or Master’s degree in Computer Science, Engineering, or a related quantitative field.
• Minimum of 5 years of professional experience in data engineering, machine learning, or applied statistics within an advanced manufacturing environment.
• Strong hands-on experience with core ML/DL frameworks (e.g., scikit-learn, PyTorch, Tensor
• Flow) and advanced time-series analysis libraries.
• Advanced proficiency in Python and SQL, with a proven track record of designing robust database schemas and building scalable data pipelines.
• Experience with Open
• CV (image processing, geometric filtering) and deploying vision models at the edge.
• Experience with model serialization, containerization (Docker), API development, and optimization for edge or resource-constrained deployments.
• Understanding of Smart Factory standards and systems, including Manufacturing Execution Systems (MES), ERP/Supply Chain databases, and Industrial IoT protocols.
• Ability to work independently with the Data Analytics team to perform root-cause analysis, validate model impact against business KPIs, and communicate technical insights to non-technical stakeholders.AVERY DENNISON IS AN

EQUAL EMPLOYMENT OPPORTUNITY

PROVIDER.