Find work in Canada.

343,450 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 26 mins ago
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
This position is responsible for the analysis, design, execution, assessment, security, and troubleshooting of data, data pipelines, and reporting. This role is responsible for…
Added 1 hour ago
Staff Software Engineer
Lantern
Vancouver, BC
Hands-on experience architecting solutions on Azure or AWS, including serverless functions, messaging queues, managed databases, and infrastructure as code (e.g., Terraform, Bicep)
Added 1 hour ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 1 hour ago
L
Staff Software Engineer
Lantern
Vancouver, BC
- Full-time
Hands-on experience architecting solutions on Azure or AWS, including serverless functions, messaging queues, managed databases, and infrastructure as code (e.g., Terraform, Bicep)
Added 1 hour ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 2 hours ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…Master’s students who want hands-on experience across cloud infrastructure, DevOps, platform engineering, automation, containers, and AI infrastructure. You will work alongside our Cloud…
Added 2 hours ago
RI
Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
…administration, troubleshooting, and optimization of enterprise network security infrastructure, primarily focusing on Cisco Firepower/ASA and Palo Alto Networks firewalls. The role…
Added 2 hours ago
IL
Senior Cloud Security Engineer
Invesco Ltd.
Charlottetown, PE
- $90,000 to $100,000 CAD / year
- Full-time
The Senior Cloud Security Engineer is responsible for securing Invesco's cloud, SaaS, AI, and data ecosystems through the implementation, operation, and continuous improvement of security…
Added 3 hours ago
Bilingual Data Engineer
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join CMHC’s Information Technology team, in the Bilingual Data Engineer position. You will design, build and support reliable data pipelines and reusable data assets on Azure and…
Added 4 hours ago
MF
SRE/DevOps Engineer
Magnet Forensics
Canada
- Full-time
The focus of this role is SRE and infrastructure operations responsibility. You will write automation and code (AI-assisted tooling is encouraged), but your core strength is keeping…
Added 6 hours ago
AI
Site Reliability Engineer – Azure Operations, Databricks Support & Incident Response
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
As an Intermediate Site Reliability Engineer, you will support and continuously improve enterprise Azure and Databricks platforms. The role focuses on production reliability, monitoring,…
Added 8 hours ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios,…
Added 9 hours ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Configure security, access controls, and data governance (Azure Purview)
Added 13 hours ago
MR
Azure DevOps Engineer
Motion Recruitment
Toronto, ON
- Full-time
As a DevOps Engineer, you'll play a key role in advancing the infrastructure behind a next-generation electronic medical records platform, helping create the secure, scalable, and reliable…
Added 16 hours ago
S
Platform Solution Architect /Architecte de solutions de plateforme (Montreal/Toronto)
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Vous serez amené(e) à travailler concrètement dans le cloud (AWS, GCP, Azure) avec les dernières technologies DevOps.
Added 16 hours ago
SL
Data Engineer
Sifar Labs
Toronto, ON
- Full-time
Role Description This is a full-time, on-site Data Engineer role based in Toronto, ON. The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to…
Added 18 hours ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 19 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores,…
Added 20 hours ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
9. Collaborate with SOC, Network, Cloud, and Infrastructure teams during major incidents and security events.
Added 20 hours ago
RI
Network security / Firewall Consultant
Raas Infotek
AB · Alberta, Canada
- Contract
9. Collaborate with SOC, Network, Cloud, and Infrastructure teams during major incidents and security events.
Added 20 hours ago
N
Sr. Principal Software Engineer
Nokia
Ottawa, ON · Kanata, ON
- Full-time
We are looking for an experienced software engineer to lead the development of our distributed edge compute platform. This role demands a deep understanding of hyperscalers like AWS, Azure,…
Added 20 hours ago
RI
Network security / Firewall Consultant
Raas Infotek
Calgary, AB
- Contract
9. Collaborate with SOC, Network, Cloud, and Infrastructure teams during major incidents and security events.
Added 20 hours ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will work under the guidance of Sr Engineers/Platform Leads to build, tune, manage infrastructure, DevOps, monitor troubleshoot, enhance, enable new features & provide…
Added 20 hours ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will be responsible for the building, tuning, managing infrastructure, DevOps, Platform site reliability, monitoring, troubleshooting, enhancing, enabling new…
Added 20 hours ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role is for a hands-on senior engineer who can design, implement, test, deploy, and operate reliable backend systems at production scale. The developer will contribute across REST…

Hays

Data Quality Engineer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Your New Company

A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
This role is focused on ensuring the delivery of high-quality data-driven solutions and applications across enterprise systems, supporting large-scale data platforms and cloud-based technologies.

Your New Role

As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform).
You will work closely with developers, data engineers, product managers, and business stakeholders to maintain the highest quality standards throughout the software development lifecycle.

Main Activities:

Design detailed test strategies/plans, test cases, and test scripts to validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP, including both functional and non-functional testing.
Collaborate with data engineers to monitor and ensure the accuracy, completeness, and consistency of data across Azure Synapse/Fabric and Google BigQuery, validating transformations and data integrity in ETL pipelines.
Collaborate with data engineering teams to design and execute tests for data pipelines running on Azure Fabric and Google Cloud services such as Dataflow, Dataproc, and Pub/Sub-based pipelines.
Develop and execute SQL-based automated tests for database validation, ensuring data integrity, performance, and security across BigQuery datasets and Azure SQL/Synapse environments.
Conduct performance testing to evaluate the scalability, stability, and performance of large-scale data systems across Azure and GCP.
Develop and maintain automated testing frameworks for ETL processes, APIs, and data integration systems, extending automation to support BigQuery validation, GCP pipeline testing, and AI/ML data validation scenarios.
Work with development and operations teams to identify, report, and track defects across multi-cloud data ecosystems, ensuring timely resolution.
Propose and implement improvements to testing processes and frameworks across Azure and Google Cloud-based data platforms and AI-enabled data solutions.
Partner with business stakeholders, project managers, and technical teams to ensure alignment with quality goals and deliverables.
Provide mentorship and technical guidance to junior quality engineers in cloud-native and AI-driven validation practices.
Ensure adherence to industry standards and best practices related to software quality, ETL processes, and cloud technologies.

What You'll Need to Succeed:

Education:

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience:

5+ years of experience in software quality engineering.
Minimum 3 years of experience working in an enterprise data environment.
Proven experience with automated testing tools such as Selenium, JUnit, TestNG, or similar frameworks.
Hands-on experience with data validation, transformation, and data pipeline testing in Azure and/or Google Cloud Platform environments.
Strong understanding of data management, data warehousing, ETL processes, and data integration.
Experience with Azure Data Factory, Azure Synapse, Microsoft Fabric, Google BigQuery, Dataflow, Dataproc, and cloud-based ETL tools is considered an asset.

Technical Skills:

Proficiency in Python, Java, and SQL for test automation and ETL validation.
Experience working with Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, BigQuery, Dataflow, and Cloud Composer (Airflow).
Strong knowledge of Agile, Scrum, Waterfall methodologies and CI/CD environments.
Experience with Git, Jenkins, Azure DevOps, Azure, and GCP infrastructure.

Soft Skills:

Strong analytical, troubleshooting, and problem-solving abilities.
Excellent communication and collaboration skills.
Detail-oriented with a focus on quality and accuracy.
Ability to work independently while managing multiple priorities in a fast-paced environment.

Nice to Have

Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer, or Professional Cloud Developer certifications.
Experience with data governance tools such as Azure Purview and data compliance initiatives.

What You'll Get in Return:

You will have the opportunity to work with a talented team of professionals in a dynamic and supportive environment.
The organization offers competitive compensation, professional development opportunities, and the chance to make a significant impact on enterprise technology and data initiatives.

What You Need to Do

Interested candidates should apply with an updated resume highlighting their experience in Quality Engineering, ETL Testing, Data Validation, Azure, Google Cloud Platform, and test automation frameworks.

What You Need to Do Now:

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

Apply About employer

More about this job

Responsibilities

Design and execute automated, functional, non-functional, and performance tests to validate data accuracy, integrity, transformations, pipelines, APIs, and enterprise systems across Azure and Google Cloud. Track and resolve defects, improve testing frameworks and processes, collaborate with technical and business teams, and mentor junior quality engineers.

Requirements

Requires a bachelor's degree in a related field, at least five years of software quality engineering experience, and at least three years in an enterprise data environment. Candidates should have experience with test automation, data pipelines and ETL validation, Python, Java, SQL, cloud data platforms, and CI/CD, along with strong analytical and communication skills.

Skills

Quality Engineering
ETL Testing
Data Validation
Test Automation
Python
Java
SQL
Azure
Google Cloud Platform
BigQuery
Azure Synapse
Microsoft Fabric
Dataflow
Dataproc
Performance Testing
CI/CD

Benefits

Competitive Compensation
Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Quality Assurance
Quality Engineering
ETL
Data Validation
Data Integrity
Data Warehousing
Data Integration
Test Automation
Selenium
JUnit
TestNG
Python
Java
SQL
Azure Data Factory
Azure Synapse Analytics
Microsoft Fabric
Google BigQuery
Google Cloud Platform
Dataflow
Dataproc
Cloud Composer
Apache Airflow
Azure DevOps
Jenkins
Git
CI/CD
Agile
Scrum
Waterfall

Report this job