1,378,238open jobs
80,057companies
203,636added this week
Browse all
Salary
$56k – $70k per year
Location
In office (Toronto)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Oct 8, 2026. PartSource scores B on the Alion truth index.

Overview
Company
Impact
Profile match
PartSource is a Canadian automotive aftermarket parts retailer headquartered in Toronto, selling parts, tools and accessories for cars, trucks and SUVs to do-it-yourself drivers and professional installers. Part of Canadian Tire Corporation, it runs a network of stores across Canada, from Ontario to Newfoundland and Labrador and Alberta, and carries an assortment of more than 300,000 parts. The linked board is the Canadian Tire enterprise board and lists store managers and assistant managers, auto service operations managers, data scientists, business analysts, compliance analysts and AI program managers.

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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,378,238 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Data Science
Similar stack
Same company
Toronto
≈ $55k – $112k per year (Estimated) • Hybrid • Full-Time • Bachelor's Degree • Toronto • Mississauga • Curitiba
Python
SQL
PowerShell
Databases
PostgreSQL
Oracle
MS SQL
Amazon Aurora
DevOps
CI/CD
AWS
Amazon EC2
Cybersecurity
NIST CSF
Management
Jira
Apply
Azure Data Engineer 7 hours ago
≈ $45k – $91k per year (Estimated) • In office • 3+ years exp • Canada
Databases
Databricks
Apply
≈ $56k – $114k per year (Estimated) • Hybrid • 3+ years exp • PhD • Mississauga
Python
SQL
Databases
Databricks
AI/ML
MLFlow
Time Series Forecasting
Apply
$73k – $121k per year • Equity • In office • Full-Time • 3+ years exp • Vancouver
Python
SQL
Databases
Amazon Redshift
AI/ML
Spark
LLM
DevOps
AWS
AWS Lambda
Amazon S3
IAM
Amazon Kinesis
Analytics
ETL/ELT
AWS Glue
Apply
≈ $54k – $110k per year (Estimated) • Hybrid • 3+ years exp • Bachelor's Degree • Toronto
Databases
Snowflake
Google BigQuery
BigQuery
Analytics
Master Data Management
Management
Agile
Apply
Site Engineer 4 hours ago
$71k – $98k per year • In office • Full-Time • 1+ year exp • Bachelor's Degree • Hermiston
Python
SQL
AI/ML
Machine Learning
DevOps
Linux
Apply
Software Tester 4 hours ago
≈ $80k – $184k per year (Estimated) • In office • Full-Time • Tysons
Python
SQL
PowerShell
Analytics
ETL/ELT
Management
Jira
Agile
QA
Selenium
Apply
≈ $49k – $98k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Tysons
Python
JavaScript
SQL
C++
DevOps
Rest API
Azure
AWS
Linux
Windows
Management
Agile
Apply
≈ $41k – $68k per year (Estimated) • In office • Internship • Master's Degree • Wilmington
Python
C++
AI/ML
Computer Vision
ONNX
TensorRT
Machine Learning
DevOps
GCP
Docker Compose
Azure
Docker
Apply
$106k – $167k per year • In office • Full-Time • 10+ years exp • United States
JavaScript
TypeScript
SQL
Node JS
Apex
Node JS
Nest.JS
Express
Fastify
Apex
MuleSoft
Databases
PostgreSQL
DynamoDB
RabbitMQ
Apache Kafka
AI/ML
Copilot
Prompt Engineering
AI Agents
LLM
Frontend
GraphQL
DevOps
Rest API
gRPC
GCP
New Relic
Datadog
Kong
Prometheus
WebSockets
Azure
CI/CD
AWS
Docker
Kubernetes
Grafana
Platform Engineering
AWS Lambda
API Gateway
Management
Agile
Apply
$70k – $74k per year • In office • Full-Time • Oakville
Databases
Databricks
DevOps
Azure
Analytics
ETL/ELT
Management
Agile
Kanban
Apply
$45k – $60k per year • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • Toronto
PowerShell
Databases
Databricks
AI/ML
Machine Learning
DevOps
Terraform
Azure DevOps
Azure
CI/CD
Git
Platform Engineering
Management
Agile
Apply
Data Scientist 17 days ago
$37k – $49k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Oakville
Python
SQL
SAS
SPSS
Databases
Databricks
AI/ML
XGBoost
Scikit-learn
LightGBM
Pandas
Machine Learning
DevOps
Azure
AWS
Apply
Senior Data Scientist 25 days ago
$60k – $67k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Oakville
Python
SQL
SAS
Apply
≈ $36k – $62k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • Laval
Design
Figma
Marketing
GA4
Apply
$70k – $92k per year • In office • 3+ years exp • Toronto
Databases
Databricks
Apply
$60k – $68k per year • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Toronto
Management
Microsoft Office
Apply
$32k – $42k per year • Hybrid • Internship • Toronto
Python
C++
DevOps
CI/CD
Management
Microsoft Office
Apply
$32k – $48k per year • In office • Full-Time • 2+ years exp • Toronto
DevOps
Windows
Management
Outlook
Microsoft Teams
Apply
Housekeeper WD1-GCT 10 hours ago
≈ $33k – $54k per year (Estimated) • In office • 1+ year exp • High School Diploma • Toronto
Apply
See all jobs
This is one of many
1,378,238 more open roles from verified company boards, updated every day.