Location: Toronto, ON, Hybrid, 3–4 days on-site per week
Language: Strong English communication skills required, both written and spoken
Duration: Permanent
Background Check Requirement: Successful completion of an employment background check

About the Opportunity

Our reputable retail industry client is looking for a Senior Data Engineer to join a high-performing team focused on delivering personalized, machine-learning powered customer experiences. This is an exciting opportunity to contribute to the design, development, and optimization of data products that power a 1:1 Loyalty Offer recommendation system for over 10 million active customers. Your work will directly support enterprise-wide personalized strategies, helping the organization innovate while improving operational efficiency.

You will collaborate with a diverse, dynamic team of data scientists, engineers, analysts, and developers. Together, you will transform large datasets into actionable insights, streamline processes, and drive impactful business outcomes. This role is critical to the company’s cloud migration strategy and its broader goal of leveraging advanced technologies to optimize operations and enhance customer experience.

What’s in it for You

You’ll be part of a culture that values collaboration, innovation, and professional growth. You will gain exposure to cutting-edge cloud technologies, machine learning pipelines, and large-scale data infrastructure. This role offers mentorship, cross-functional teamwork, and opportunities to influence high-impact projects, all within an environment that encourages creativity, problem-solving, and continuous learning.

Your Responsibilities

• You’ll develop and optimize machine-learning powered data products, including the 1:1 Loyalty Offer recommendation engine.
• You’ll design, implement, and maintain data pipelines, ensuring performance, reliability, and adherence to best practices.
• You’ll standardize and automate data pipelines, enabling scalable, efficient operations.
• You’ll approach complex problems with an entrepreneurial mindset and contribute to ad-hoc analytics projects across multiple data sources.
• You’ll collaborate with IT and business stakeholders to inform decisions through data insights and advanced analytics.

Skills and Qualifications

• 4+ years of experience in data engineering, analytics, or a related data domain.
• Bachelor’s degree in Engineering, Computer Science, Mathematics/Statistics, or a related field, or equivalent experience.
• Strong SQL skills for complex data analysis; experience with Python, Spark, or similar data transformation languages is preferred.
• Experience building machine learning or mathematical models and working with cloud/data platforms (Hadoop, Azure, GCP, BigQuery, Snowflake, Airflow, Power BI, etc.).
• Familiarity with data visualization and intelligence tools (Looker, Tableau, Google Data Studio, or similar).
• Strong problem-solving skills and ability to work across diverse datasets and teams.

About Canadian Tire Corporation

Canadian Tire Corporation, Limited (CTC) is one of Canada’s most trusted companies, with 90+ Owned Brands, 1,700 retail locations, and leading e-commerce and financial services. They innovate with purpose, investing in technology, products, and talent to drive the business forward. CTC offers competitive pay, benefits, learning opportunities, and mental health support. Guided by their Core Values of inclusion, innovation, outcomes, collaboration, and personal responsibility, they aim to make life in Canada better. With wide-ranging career opportunities, there is a place for you at CTC.

Commitment to Diversity, Inclusion and Belonging

CTC is committed to fostering a culture of belonging where diversity, inclusion, and equity are valued, all individuals are treated with dignity and respect, and they work together to make life in Canada better.

Accommodations

CTC is committed to inclusion and welcoming candidates from equity-seeking groups, providing accommodations throughout the application and interview process to support your needs.

Why Partner with Altis

If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.