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dataroles

Data Engineer, Enterprise Data, Insights & Analytics

Canadiantirecorporation Open · verified Oct 24, 2026
Toronto Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Canadiantirecorporation. Toronto · full-time · CA$80,000–CA$100,000 base.

SalaryStated by Canadiantirecorporation
CA$80,000 – CA$100,000
Base salary for this role, in CAD per year, as published in the posting.
This role, from CanadiantirecorporationOur estimate for the market: CA$90,000–CA$123,250Median CA$105,000
Below the market median of CA$105,000 for mid-level data engineering roles in Toronto.
Worked out from 31 postings that stated pay, median CA$105,000. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationToronto
EmploymentFull-time
Base payCA$80,000–CA$100,000
PostedOct 8, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain Azure ETL/ELT pipelines that feed financial and operational data into KPI marts and reporting layers
  • Turn business requirements and finance processes into documented data models, metrics and reporting solutions
  • Reconcile source data with pipeline and report outputs, trace variances to their cause, and fix issues before release
  • Set up data quality controls and run QA and business acceptance checks before production changes go live
  • Document data flows and metric definitions, while improving automation and consistency across data work

What you bring

  • A degree in computer science, engineering, finance, business, mathematics, statistics or a related area
  • Two to four years in data engineering, analytics engineering or related work supporting enterprise reporting
  • Strong SQL plus practical Python and Spark skills in Azure Synapse or Databricks
  • Experience developing Azure ETL/ELT workflows and investigating reporting discrepancies through resolution
  • Hands-on JIRA experience and familiarity with Git-based code repositories such as Azure DevOps Repos

Who this fits

This mid-level individual-contributor role suits someone who can combine data engineering with an understanding of finance and business reporting. You’ll work with Finance, Business, Analytics and Technology teams in deadline-driven settings. The role is based in Toronto.

From the employer

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.

What you’ll do:

  • Design, develop, and maintain ETL/ELT pipelines on Azure‑based data platforms, leveraging Azure Synapse (Dedicated/Serverless Spark pools) 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 bring:

  • 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.

We’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 discounts

Broadband Salary Range: $80,000 – $100,000.

Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. 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.

This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.


About Us


Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies. With more than 90 Owned Brands, over 1,600 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.


Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.