Gildan is a leading manufacturer of everyday basic apparel, with a strong portfolio of brands, including Gildan®, Hanes®, Comfort Colors®, American Apparel®, ALLPRO™, GOLDTOE®, Peds®, Bali®, Playtex®, Maidenform®, Bonds®, as well as Champion® which is under an exclusive licensing agreement for the printwear channel in the U.S. and Canada.

Gildan owns and operates vertically integrated, large-scale manufacturing facilities which are primarily located in Central America, the Caribbean, North America, and Asia. Gildan operates with a strong commitment to industry-leading labour, environmental and governance practices throughout its supply chain in accordance with its comprehensive ESG program embedded in Gildan's long-term business strategy. Together with our global team of dedicated employees, Gildan is united in its vision of Making Apparel Better®. Discover the full scale of Gildan and prepare to be surprised at gildancorp.com.

The Data Engineer, Supply Chain is responsible for designing, developing, and maintaining the enterprise data ecosystem that powers Al, analytics, and intelligent chatbot solutions. The role focuses on acquiring and preparing structured and unstructured data, developing semantic views, building scalable data pipelines, and creating Al skills that enable business users to interact with enterprise data through natural language. Working closely with Data Analytics and business stakeholders, the Data Engineer will support the development of agentic Al capabilities across Supply Chain, Sales, Marketing, and Distribution while ensuring high-quality, reliable, and governed data assets.

The role

• Identify, acquire, prepare, and maintain structured and unstructured datasets from internal and external sources.
  
• Design and maintain semantic views, data pipelines, and Al-ready data assets the organization's Snowflake environment.
  
• Develop backend reusable Al skills, custom tools, and integrations that extend enterprise Al capabilities.
  
• Build scalable ETL/ELT processes and automate data ingestion, transformation, validation, and monitoring.
  
• Collaborate with Data Analytics and business teams to deliver Al-enabled solutions supporting Supply Chain, Sales, Marketing, and Distribution.       
  
• Document technical designs, semantic models, data pipelines, and development standards while contributing to the organization's evolving Al and agentic architecture.
• Research, prototype, and recommend emerging technologies that enhance enterprise Al capabilities, data architecture, and chatbot functionality.

The requirements

• Bachelor's degree in Computer Science, Information Systems, Software. Engineering, Data Science, or a related discipline.
• Minimum 3 - 5 years in Data Engineering, Data Analytics or Business Intelligence.
• Strong SQL or Python programming skills.
• Knowledge of Snowflake and modern data engineering tools (e.g., dbt).
• Excellent analytical and problem-solving.
• Strong communication, collaboration, and technical documentation skills.

• Join a publicly traded company dual-listed on NYSE and TSX with great potential
• Be part of a workplace where meaningful connections and teamwork are celebrated
• From local to international, be ready to work alongside a diverse group of colleagues
• Benefit from mentorship and continuous development opportunities
• Take advantage of our attractive benefits packages

We want to get to know you better! Please include your transferrable skills and unique experience in your application to help us learn more about you.

We thank all applicants for their interest, however, only those selected for interviews will be contacted.

We are committed to ensuring that everyone, across every background and identity, feels respected, supported, and able to thrive. Come as you are and #FindYourFit at Gildan. Tailor the future of your own career.