As a Data Engineer in the Advanced Analytics team at Canadian Tire Corporation, your primary focus will be on ensuring the stability, reliability, and performance of ML models in production environments. Working closely with data scientists and IT teams, you will deploy and manage ML models, monitor their performance, develop robust monitoring systems, and automate processes for continuous evaluation.What you'll doDesign, develop, and manage ETL data pipelines for extraction, transformation, and loading of data from diverse sourcesDesign and execute robust data quality checks, and implement and maintain a curated feature storeDeploy and scale existing machine learning models in production, ensuring robust data ingestion, update, and model scoringCollaborate with data scientists to provide clean, well-structured data for modelling and automate experimental models for production useWork with external data engineering teams for infrastructure setup and database managementManage the ML model lifecycle internally and collaborate with external teams on infrastructure alignmentWhat you bringMaster's degree in computer science, software engineering,



or an equally technical field2+ years of data engineering experience with Azure-related data technologiesProven experience deploying and managing AI models in production environmentsHands‑on knowledge of Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Synapse, Python, PySpark, and MLflowSolid understanding of model performance metrics and evaluation techniquesProficiency in Python and RExperience with model deployment frameworks (e.G., TensorFlow Serving), containerization (Docker, Kubernetes), and cloud platforms (Azure)Familiarity with DevOps CI/CD pipelines using GitLab or JenkinsUnderstanding of Azure infrastructure, RBAC, Azure AD integrations, and security principlesExcellent problem‑solving, communication, and presentation skillsPreferred QualificationsExperience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lakeKnowledge of distributed computing frameworks (e.G., Apache Spark)Experience with deep learning frameworks (e.G., PyTorch) and custom DNN solutionsSalaryThe typical hiring range is between $64,000 and $106,000 per year.BenefitsComprehensive advantages and retirement programsPerformance incentives and continuing education programsMental health benefits of $5,000 per year for eligible employees and familiesCareer growth opportunities and product discountsCanadian Tire Profit Sharing for eligible employees#J-18808-Ljbffr

📌 Data Engineer (Toronto)
🏢 Canadian Tire Corporation
📍 Toronto