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AI / Machine LearningOnsite

Data Engineer - Advanced Analytics

Canadian Tire Corporation - Company

Toronto, Ontario, 🇨🇦 CanadaFull-time - Mid level (2-4 years)0 applicantsCloses Jun 21, 2026

Salary

CAD 64,000 - 106,000 / year

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Job description

Job details

  • Location: Toronto, Ontario
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: CAD 64,000 - 106,000 per year

Role overview

Canadian Tire Corporation is seeking a Data Engineer for their Advanced Analytics team in Toronto, Ontario. This full-time, onsite position focuses on ML model productionisation, deployment automation, and performance monitoring. The role requires close collaboration with data scientists and IT teams to ensure stability and reliability of machine learning models in production environments. Salary range is CAD 64,000−64,000 - 106,000.

Job details

This is a full-time, onsite position located in Toronto, Ontario. The Data Engineer will be responsible for deploying and managing ML models, developing robust monitoring systems, and automating continuous evaluation processes. The ideal candidate brings expertise in machine learning operations, model deployment pipelines, and production system reliability. Canadian Tire Corporation offers a collaborative environment where data engineering meets advanced analytics to drive business impact.

Responsibilities

  • Deploy and manage ML models in production environments
  • Develop robust monitoring systems for model performance tracking
  • Automate processes for continuous model evaluation and improvement
  • Collaborate with data scientists and IT teams on model stability
  • Ensure reliability and performance of production ML systems
  • Implement MLOps best practices and deployment pipelines

Requirements

  • Experience with ML model deployment and productionisation
  • Strong programming skills in Python and data engineering tools
  • Knowledge of MLOps practices and automation frameworks
  • Experience with monitoring and observability systems
  • Ability to work with data scientists and cross-functional teams
  • Understanding of production system reliability and performance

Benefits

  • Competitive salary CAD $64,000 - $106,000
  • Work with advanced analytics and ML technologies
  • Collaborative team environment
  • Opportunity to impact production ML systems

Keywords

Data EngineeringMachine LearningMLOpsModel DeploymentPythonAutomationMonitoringProduction Systems