Data Engineer - Canadian Tire, Toronto

About the role

As a Data Engineer, Enterprise Data, Insights & Analytics, you will design, build, and maintain scalable data pipelines that support accurate, timely financial reporting and analytics. This senior individual contributor role combines strong data engineering expertise with business and financial understanding. You will work closely with Finance, Business, Analytics, and Technology teams to translate requirements into trusted, reconciled, and production-ready data solutions. Your work ensures the integrity, consistency, and availability of data for recurring and ad hoc reporting, forecasting, and decision-making in deadline-driven environments.

Day-to-day

Your day-to-day responsibilities within the engineering team include the following tasks:

• Design, develop, and maintain ETL/ELT pipelines on Azure-based data platforms, leveraging Azure Synapse and/or Databricks to extract, transform, and load financial and operational data into KPI data marts and reporting layers.
• Partner with Business stakeholders to gather and document business requirements, understand financial processes, and translate them into scalable technical solutions.
• Build, enhance, and maintain scalable, well-documented data model that support financial reporting, performance measurement, and downstream analysis.
• Support the delivery of time-sensitive financial datasets, ensuring adherence to timelines, quality standards, and control requirements.
• Perform data reconciliation and analytical validation across source systems, pipelines, and reporting outputs; investigate variances, conduct root-cause analysis, and resolve issues prior to data release.
• Apply strong analytical skills to identify trends, anomalies, and data issues and communicate impacts to stakeholders.
• Design and implement data quality checks, monitoring, and control frameworks to ensure data accuracy, completeness, and reliability throughout the data lifecycle.
• Execute and validate QA testing in pre-production and production environments, ensuring changes meet functional, data quality, and performance expectations.
• Coordinate User Acceptance Testing (UAT) with business stakeholders, support issue resolution, and obtain formal business sign-off prior to production release.
• Create and maintain Metric Definition Documents (MDDs) to ensure consistent, aligned metric definitions across teams.
• Collaborate with Finance and Business partners to ensure data structures, KPIs, and metrics align with agreed-upon business definitions and reporting standards.
• Work with platform and infrastructure teams to align on Azure environments, access, and deployment standards, while owning project-specific data transformations and logic.
• Identify and implement opportunities for automation, standardization, and process improvement to reduce manual effort and improve scalability and reliability.
• Document data flows, transformations, reconciliation rules, and business definitions to support governance and transparency.

What you'll bring

Candidates should possess the following qualifications and technical background:

• University degree in Computer Science, Engineering, Finance, Business, Mathematics, Statistics, or a related field.
• 2-4 years of experience in data engineering, analytics engineering, or related roles supporting enterprise reporting and analytics.
• Advanced SQL proficiency for data transformation, reconciliation, and validation.
• Hands-on experience with Python and Spark in Azure Synapse and/or Databricks environments, for data processing, automation, and quality checks.
• Experience building ETL/ELT workflows using Azure cloud-based data platforms.
• Understanding of data modeling and reporting-oriented design (e.g., KPI data marts).
• Strong ability to gather, clarify, and document business requirements, and translate them into scalable technical and data solutions.
• Proven, hands-on experience investigating data discrepancies across source systems, pipelines, and reporting layers, performing root-cause analysis, and implementing fixes prior to data release.
• Hands-on experience with JIRA for story tracking, sprint execution, UAT coordination, and defect resolution.
• Experience working with Git-based repositories such as Azure DevOps Repos (or similar tools) for code management and promotion across environments.
• Experience supporting financial or operational reporting in enterprise environments.
• Experience building Power BI/Tableau dashboards for financial or operational reporting is an asset.
• Retail or Banking experience is an asset, particularly in finance, sales, inventory, operations, logistics, or related domains.

What's on offer

In addition to competitive pay, Canadian Tire offers a comprehensive suite of programs and perks:

• Comprehensive benefits and retirement programs
• Performance incentives and Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities and product discounts
• Enhanced flex benefits program including mental health benefits of $5,000 per year for eligible employees and their families