Data Engineer - Supply Chain

About the role

Gildan is seeking a Data Engineer to design, develop and maintain the enterprise data ecosystem that powers AI, analytics and chatbot solutions for its supply chain operations. The role focuses on acquiring and preparing both structured and unstructured data, building scalable pipelines and creating AI‑ready data assets that enable business users to interact with data through natural language.

Key responsibilities

• Identify, acquire, prepare and maintain datasets from internal and external sources.
• Design and maintain semantic views, data pipelines and AI‑ready assets within Snowflake.
• Develop reusable backend AI skills, custom tools and integrations to extend enterprise AI capabilities.
• Build scalable ETL/ELT processes and automate data ingestion, transformation, validation and monitoring.
• Collaborate with Data Analytics and business teams to deliver AI‑enabled solutions for Supply Chain, Sales, Marketing and Distribution.
• Document technical designs, semantic models, pipelines and development standards.
• Research, prototype and recommend emerging technologies to enhance AI and chatbot functionality.

Required profile

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Science or a related discipline.
• 3–5 years of experience in Data Engineering, Data Analytics or Business Intelligence.
• Strong analytical and problem‑solving abilities.
• Excellent communication and collaboration skills.

Required skills

• SQL programming.
• Python programming.
• Experience with Snowflake.
• Familiarity with modern data‑engineering tools such as dbt.
• Design and implementation of ETL/ELT pipelines.