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Spécialiste en tests de logiciels / Software Test Specialist
Genetec
Sherbrooke, QC
- Full-time
Platforme cloud Azure (Microsoft SQL Server and Azure DevOps)
Added 5 mins ago
RI
Azure Data Engineer
Rivago Infotech Inc
Toronto, ON
- Contract
Role : Azure Data Engineer with Databricks Expertise
Added 20 mins ago
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RQ00826 - Systems Testing/QA Specialist - Senior
Maarut
Toronto, ON
- Contract
…execute test cases, query databases to verify data, solve complex technical issues inherent in testing and be able to identify potential defects and…
Added 20 mins ago
M
RQ11528 - Software Developer - API - Senior
Maarut
Toronto, ON
- Contract
Required to translate technical systems specifications into
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RQ11620 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Required to translate technical systems specifications into
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RQ11429 - Software Developer - Back End - Senior
Maarut
Toronto, ON
- Contract
technical systems specifications into working, tested applications.
Added 20 mins ago
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RQ11527 - Middleware Specialist - Senior
Maarut
Toronto, ON
- Contract
Provide planning, consulting, technical analysis, design,
Added 35 mins ago
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Security Incident Response Developer
Wealthsimple Technologies
Remote, Canada
- $123,200 to $154,000 CAD / year
- Full-time
- Remote
…join our Detection & Response team as an Incident Response Developer. You’ll report to the Manager of Detection & Response and work closely with senior responders to investigate security…
Added 35 mins ago
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Technology Manager
Takeaway
ON
- Full-time
As a Technology Manager, you will oversee the architectural design and technical implementation of solutions built by your engineering team. We engineer for high scale and low latency,…
Added 1 hour ago
CT
Senior BI Analyst
Canadian Tire Corporation
Oakville, ON · Toronto, ON
- Full-time
Leverage modern analytics technologies such as Azure Synapse, Microsoft Fabric, Databricks, and Power BI to build efficient, scalable, and maintainable reporting solutions.
Added 1 hour ago
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Lead UX Developer (React)
OpenText
Waterloo, ON
- Full-time
…collaboration are key components of our corporate culture. As a Lead UX Developer on the Viewing and Transformation Development team, you will independently design, build, and constantly…
Added 1 hour ago
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Application Developer
Sobeys
Dartmouth, NS
- Full-time
…have a Full-Time opportunity for a Salesforce Marketing Cloud Developer. This role can be based out of one our main offices including: Mississauga, ON; Stellarton, Dartmouth, Halifax…
Added 1 hour ago
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Développeur(euse) Logiciel / Software Developer - C#/.NET/Web
Genetec
Montreal, QC
- Full-time
Expérience avec Azure DevOps et les processus d'intégration et de déploiement continus (CI/CD)
Added 1 hour ago
Senior Technical Specialist
Insurance Corporation of British Columbia
North Vancouver, BC
The Information Services Division is currently looking for a Senior Technical Specialist. In this position, you will provide senior-level technical leadership for the design,…
Added 1 hour ago
Senior Data Engineer
Capgemini
Calgary, AB
…Databricks, PySpark, Python, SQL, Delta Lake, and cloud technologies (Azure/AWS)*, with experience building enterprise-scale data solutions that support analytics, reporting, and machine…
Added 1 hour ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 hour ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Design and architect enterprise-wide capabilities leveraging AI coding assistants, copilots, and developer productivity tools (e.g., GitHub Copilot, Azure AI Studio assistants).
Added 1 hour ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Maintain technical documentation to support system sustainability, reproducibility, and knowledge transfer.
Added 1 hour ago
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Delivery Manager – Personalization and Marketing (7 months contract)
Sobeys
Toronto, ON
- Contract
…streamline project execution, and act as the linchpin between technical teams and business stakeholders to translate ambitious ideas into tangible results. This role requires a strategic…
Added 1 hour ago
XS
Security Analyst / Engineer / Architect
XChange Software Inc
Mississauga, ON
- Contract
Primary focus: Secure software delivery, application risk reduction, and developer enablement.
Added 1 hour ago
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SR ACE Certified GW Integration Policy Center developer- Onsite role
Cognizant
Toronto, ON
- Full-time
Lead ACE Certified Guidewire Policy Center Integration Developer
Added 2 hours ago
PC
Business Analyst IT (Co-op)
Powerex Corp.
Vancouver, BC
- Full-time
- Temporary
…Powerex’s fast-paced business, and this role provides numerous technical and non-technical learning opportunities along with direct exposure to the world of energy trading. If you are a…
Added 2 hours ago
CT
Manager, Analytics Engineering
Canadian Tire Corporation
Toronto, ON
- Full-time
The successful candidate will combine technical depth with strong people leadership and program execution. They will partner with architecture, analytics, security, infrastructure, and…
Added 2 hours ago
EC
Dotnet Developer
Experis Canada
Montreal, QC
- Contract
Excellent knowledge of the Microsoft Azure ecosystem.
Added 2 hours ago
Senior Manager, Data Product Management
Scotiabank
Toronto, ON
Act as a key liaison between technical teams and business users to translate business needs into technical requirements and vice versa.

Canadian Tire Corporation

Manager, Analytics Engineering

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

What you’ll do :

We are seeking a hands-on, strategic Manager, Analytics Engineering to lead the modernization of enterprise data platforms from Hadoop to Microsoft Azure. A core mandate is to build reusable, AI-enabled frameworks that make migration, data engineering, and workload optimization as efficient and accurate as possible. This role will combine intelligent automation with rigorous validation to improve delivery speed, data quality, reliability, scalability, and cost efficiency.

The successful candidate will combine technical depth with strong people leadership and program execution. They will partner with architecture, analytics, security, infrastructure, and business teams to establish AI-enabled engineering and migration patterns, manage delivery risks, and build a sustainable Azure data platform. Frameworks must include measurable quality controls, traceability, and human review where needed to validate AI-generated outputs and manage exceptions.

Key Responsibilities

Hadoop-to-Azure Migration

Lead the end-to-end migration of data, pipelines, and workloads from Hadoop environments to Azure.

Define migration waves, priorities, dependencies, acceptance criteria, cutover plans, and rollback strategies.

Assess existing Hadoop jobs, datasets, integrations, and technical debt to determine whether workloads should be rehosted, refactored, rebuilt, retired, or consolidated.

Build reusable, AI-enabled migration frameworks to accelerate workload assessment, code conversion, test generation, and documentation, with automated reconciliation and human approval for production cutovers.

Coordinate data validation, parallel runs, production cutovers, decommissioning, and post-migration stabilization.

Data Engineering

Lead the design and delivery of secure, scalable, and maintainable batch and streaming data pipelines on Azure.

Build and maintain reusable, AI-enabled data engineering frameworks for pipeline development, code generation, automated testing, data-quality checks, and documentation; establish standards for source control, CI/CD, observability, and lineage.

Guide teams in designing reliable data models and curated data products that support analytics, reporting, and advanced use cases.

Partner with IT, architecture, governance, privacy, and security teams to embed controls throughout the data lifecycle, including approved AI tools, protection of sensitive data, traceability of AI-generated changes, and risk-based human review.

Workload and Job Optimization

Develop AI-assisted optimization frameworks to identify bottlenecks, recommend improvements, and automate repeatable tuning tasks; validate recommendations against runtime, throughput, accuracy, stability, resource utilization, and cloud-cost baselines.

Identify inefficient queries, data skew, partitioning issues, orchestration bottlenecks, unnecessary data movement, and failed-job patterns.

Establish performance baselines, service-level objectives, monitoring, alerting, capacity plans, and cost-management practices; measure framework effectiveness through delivery time, manual effort, data accuracy, defect rates, and processing cost.

Prioritize optimization opportunities using measurable business value, risk reduction, and total cost of ownership.

People Leadership and Delivery

Lead, coach, and develop data engineers and technical leads, building capability in responsible AI-assisted engineering and driving adoption of reusable frameworks, accountability, collaboration, and continuous improvement.

Translate the modernization strategy into clear roadmaps, delivery plans, resource needs, and team objectives.

Manage delivery across internal teams and external partners, proactively addressing scope, schedule, quality, risk, and dependencies.

Communicate technical decisions, migration progress, trade-offs, and outcomes to both technical and executive audiences.

What you bring:-

Progressive experience in data engineering, data-platform modernization, or cloud migration, including experience leading technical teams.

Demonstrated experience migrating Hadoop-based data and workloads to Microsoft Azure.

Strong knowledge of distributed data processing, data pipelines, orchestration, data modelling, storage patterns, and production operations.

Experience with relevant Azure data services and modern engineering practices, including building reusable AI-enabled frameworks for migration, pipeline development, testing, and optimization, with demonstrated ability to validate outputs and measure efficiency and accuracy gains.

Proven ability to tune data jobs, troubleshoot complex performance issues, and improve reliability and cloud cost efficiency.

Working knowledge of data governance, security, privacy, access controls, metadata, lineage, retention, and audit requirements.

Strong stakeholder management, communication, prioritization, and change-leadership skills.

Bachelor’s degree in computer science, engineering, information systems, or a related discipline, or equivalent practical experience.

We’re always looking for great talent! In addition to competitive pay, we offer:

Career growth opportunities and product discounts

Broadband Salary Range: $79,000.00 - 131,000.00 CAD Annual

Our typical hiring range is between $90,000.00 - 130,000.00 CAD per annum. Salary decisions are also dependent on other factors such as your experience, job-related knowledge, skills and competencies, market location, industry benchmarks, internal equity and other role-specific requirements

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.

Apply About employer

More about this job

Responsibilities

Lead the end-to-end migration of enterprise data platforms from Hadoop to Microsoft Azure while building AI-enabled frameworks for engineering and optimization. Manage delivery roadmaps, coach technical teams, and partner with cross-functional stakeholders to ensure scalable, secure, and cost-efficient data solutions.

Requirements

Requires progressive experience in data engineering, cloud migration, and technical team leadership, specifically with Hadoop-to-Azure transitions. Candidates must possess strong knowledge of distributed data processing, data modeling, and modern engineering practices alongside a relevant bachelor's degree.

Skills

Data engineering
Cloud migration
Microsoft Azure
Hadoop
Data pipelines
AI-enabled frameworks
Data modeling
Performance tuning
Data governance
CI/CD
Leadership
Stakeholder management
Automation
Data quality
Cloud cost management
Strategic planning

Benefits

Career growth opportunities
Product discounts
Profit sharing
Retirement and savings programs
Flex benefits program
Mental health benefits
Supported learning

Visa sponsorship

Not detected in the job text

Keywords

Analytics Engineering
Hadoop
Microsoft Azure
Data Migration
AI-enabled frameworks
Data Engineering
Cloud Modernization
CI/CD
Data Pipelines
Performance Tuning
Data Governance
Data Modeling
Automation
Scalability
Cloud Cost Management
Technical Leadership
Stakeholder Management
Batch Processing
Streaming Data
Observability
Data Lineage
Security
Privacy
Technical Debt
Workload Optimization
Service-level objectives
Capacity Planning
Strategic Planning
Enterprise Data Platforms
Cloud Migration

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