Apply on Kit Job: kitjob.ca/job/2fseh7

**What You’ll Do**## **What You Bring****Preferred Experience*** Working knowledge of machine learning concepts and workflows (e.g., feature engineering, training vs. scoring datasets)* Experience or interest in lightweight UI or analytics app development (e.g., Streamlit, Python-based visualization tools).* Retail, supply chain, or merchandising domain experience is an assetWe’re always looking for great talent! In addition to competitive pay, we offer:* Comprehensive benefits and retirement programs* Performance incentives, Continuing Education Programs* Other perks to support your well-being* Career growth opportunities and product discountsOur typical hiring range is between $64,000.00 and $106,000.00 per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role. #LI-AG2This posting represents an existing vacancy within our organization.Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being,



and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.**Our Commitment to Diversity, Inclusion and Belonging**We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.**Accommodations**We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.* Design, build, and maintain high-performance, scalable data pipelines using PySpark on Databricks to process large, granular datasets (e.g., transactions, customer, digital data).* Transform source data into curated datasets, supporting feature engineering, modelling,



and analytical needs.* Optimize Spark jobs for performance, cost, and reliability, including partitioning strategies, data layout, and cluster usage.* Implement and maintain data quality checks, validation logic, and monitoring to ensure reliable inputs for forecasting models.* Partner with data scientists to understand modelling requirements and support feature engineering workflows, experimentation, and model iteration.* Support broader team initiatives requiring data engineering expertise, including ad hoc analysis, performance tuning, or data onboarding.* University degree in data engineering, computer science, or equally technical field* Strong experience as a Data Engineer working with large datasets* Hands-on expertise with PySpark, ideally on the Databricks platform.* Proficiency in Python, with clean, maintainable coding practices.* Experience designing data pipelines for analytics or machine learning use cases in a cloud-based data environment (Azure preferred).* Ability to work effectively with data scientists, translating analytical needs into robust data solutions.* Robust communication skills, with the ability to explain technical concepts to business audiencesWe are one of Canada’s most admired and trusted companies. With world-class owned brands and exciting market-leading merchandising strategies, we are continually innovating with purpose: to excite and serve Canadian customers from coast-to-coast. We are connected to communities, big and small, from coast-to-coast, offering products and services that reflect the diverse nature of every one of them. From sports to outdoors, automobiles to homes, we know and understand life in Canada like no other retailer can.We are always on the lookout for curious, creative people who are able to navigate and excel in a rapidly evolving retail environment. If you’re ready to take on new challenges – be it in digital, IT, marketing, data & analytics, merchandising, or one of the many other roles we have – there is a place for you here, so apply today.
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Apply on Kit Job: kitjob.ca/job/2fseh7

📌 Big Data Engineer, Advanced Analytics & Modelling (Toronto)
🏢 Canadian Tire Financial Services
📍 Toronto