Enterprise Data Co-op (8 months)

Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Mississauga, Ontario, CanadaPosted Sep 8, 2026

About the role

Embark on a rewarding career with Sobeys Inc., celebrated among Canada’s Top 100 employers where your unique contributions drive success. Start Early. Grow for a Lifetime. A co-op student role at Sobeys is more than just a work term. It is your own personal journey in discovering how Sobeys operates, gaining valuable insights and relevant experience in your field of study, networking with experienced professionals, and obtaining first-hand exposure to one of Canada’s largest grocers. Most importantly, you will have an opportunity to work alongside some of the most talented people in the grocery business. We believe that the best ideas come from a diverse workforce with unique perspectives and encourage our co-op students to be curious and innovative! This is an outstanding opportunity to join a leading Canadian company with a clear vision and focus. As an Enterprise Data Co-op student, you will work both independently and, in a team, to help build, create and support marketing, loyalty and digital business programs for our banners. You will work closely with the engineering team to understand how we build resilient data pipelines, analyze data to identify patterns and interpret based on business definitions, as well as present fact-based observations. There will be opportunities to be exposed to building AI Agents, how we measure and track agent performance, and how businesses run post campaign analytics and measurements. You will ensure data is clean and that information is correctly updated in the system. Here’s where you’ll be focusing Create and update workflows that move data from source systems into cloud platforms like Snowflake, so it is ready for reporting and analysis. Use SQL to check that data is accurate, complete, and aligned with business needs before it is used. Clean, transform, and organize data so it is reliable and easy for others to use. Identify ways to speed up testing or data processes and build simple tools or automation to make them

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