Data Engineer, Enterprise Data, Insights & Analytics

Canadian Tire Corporation•Toronto, ON

1d•Hybrid

About The Position

This role focuses on designing, developing, and maintaining ETL/ELT pipelines on Azure-based data platforms. The Data Engineer will leverage Azure Synapse and/or Databricks to process financial and operational data into KPI data marts and reporting layers. A key aspect of the role involves collaborating with business stakeholders to understand requirements and translate them into technical solutions, as well as building and maintaining data models that support financial reporting and analysis. The position also requires supporting the delivery of time-sensitive financial datasets, performing data reconciliation, and implementing data quality checks and monitoring frameworks. Coordination of User Acceptance Testing (UAT) and documentation of data flows are also essential responsibilities. The role emphasizes identifying opportunities for automation and process improvement within the data lifecycle.

Requirements

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.

Nice To Haves

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.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines on Azure-based data platforms, leveraging Azure Synapse (Dedicated/Serverless Spark pools) and/or Databricks.
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 models 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.

Benefits

Comprehensive benefits and retirement programs
Performance incentives
Continuing Education Programs
Other perks to support your well-being
Career growth opportunities
Product discounts
store discounts
supported learning through our Triangle Learning Academy
Canadian Tire Profit Sharing
retirement and savings programs for eligible employees
mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families
total well-being, and mental health tools and resources for all employees