Data Engineering Student (4 months) - Fall 2026

Canadian Tire CorporationToronto, ON
CA$23 - CA$37Onsite

About The Position

This role will focus on building and optimizing data pipelines, ensuring data quality, and supporting analytics initiatives across the organization. The student will design, develop, and maintain ETL (Extract, Transform, Load) processes for large-scale datasets, work with cloud platforms (e.g., Azure, Hadoop) to manage data storage and processing, collaborate with data scientists and analysts to ensure data availability and integrity, implement data validation and monitoring tools to maintain high-quality datasets, and document workflows and contribute to best practices for data engineering.

Requirements

  • Currently enrolled in a post-secondary program in Computer Science, Engineering, Data Science, or a related discipline
  • Familiarity with SQL and one programming language (Python, Java, or Scala).
  • Understanding of data modelling and relational databases.
  • Strong problem-solving and communication skills.

Nice To Haves

  • Exposure to big data technologies (e.g., Spark, Hadoop) is an asset.

Responsibilities

  • Design, develop, and maintain ETL (Extract, Transform, Load) processes for large-scale datasets.
  • Work with cloud platforms (e.g., Azure, Hadoop) to manage data storage and processing.
  • Collaborate with data scientists and analysts to ensure data availability and integrity.
  • Implement data validation and monitoring tools to maintain high-quality datasets.
  • Document workflows and contribute to best practices for data engineering.

Benefits

  • Competitive pay
  • Career growth opportunities
  • Product discounts
  • Store discounts
  • Supported learning through our Triangle Learning Academy
  • Canadian Tire Profit Sharing
  • Retirement and savings programs for eligible employees
  • Mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families
  • Total well-being, and mental health tools and resources for all employees
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