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Added 25 mins ago
BI
Staff Machine Learning / Operations Research Engineer
Burq, Inc.
Remote, Canada
- Full-time
- Remote
We're hiring a Staff ML/OR engineer to define and build the intelligence at the core of Dispatch OS, our platform for ML-assisted dispatch decisions. You'll set the technical direction for…
Added 25 mins ago
Director, MEP & Electrical Infrastructure, Bell AI Fabric
Bell
Calgary, AB
Professional Engineer (P.Eng.) designation strongly preferred.
Added 40 mins ago
Software Engineer II, Earnings
Toast
Toronto, ON
We're looking for an engineer to help build and scale Toast's earnings platform - systems that calculate tips and employee earnings for restaurant locations across Toast's network. You'll…
Added 40 mins ago
Lead Software Engineer
Capgemini
Mississauga, ON
4. The software engineer builds skills and expertise of his or her software engineering discipline to reach standard software engineer skills expectations for the applicable role as defined…
Added 40 mins ago
T
Application Security Engineer II
Thumbtack
Remote, Canada
- Full-time
- Remote
…multiplier when it is designed into systems, platforms, and developer workflows from the…
Added 40 mins ago
RB
Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
You will be a full stack developer on a team focused on web applications that support internal and external RBC users. This role supports the modernization and enhancement of enterprise…
Added 40 mins ago
RB
Principal AI Engineer, Agentic Models and Data Platforms
Royal Bank of Canada
Calgary, AB
- Full-time
Added 52 mins ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
Preferred certifications include Azure Solutions Architect Expert, Azure AI Engineer Associate, or Google Cloud Professional Machine Learning Engineer.
Added 52 mins ago
ES
Java Software Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Full-time
Added 1 hour ago
Project Engineer (Battery Energy Storage)
Peak Power Inc
Toronto, ON
As a Project Engineer role will report to the Senior Director, Engineering you will provide engineering leadership on behind the meter battery energy storage and distributed energy projects…
Added 1 hour ago
E
IBM I (AS400) Quality Assurance Engineer
EllisDon
London, ON
- Full-time
You as an IBM I (AS400) Quality Assurance Engineer will:
Added 1 hour ago
E
Assistant Manager, Technical Services
EllisDon
Mississauga, ON
- Full-time
Licensed Professional Engineer, Degree in Engineering, Technology Diploma or Technical certification and equivalent work experience
Added 1 hour ago
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Backend Engineer (Go)
Xsolla
Montreal, QC
- Full-time
Identify opportunities to reduce technical debt and improve the developer experience.
Added 1 hour ago
MP
Lead Data Engineer (ITA7)
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Halifax, NS
- $96,557 to $128,743 CAD / year
- Full-time
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
ED
Senior AI Developer - EN 428
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experiences, plus a performance-based incentive.
Added 1 hour ago
V
Warehouse Associate - Edmonton, AB (On-Site)
Victaulic
AB · Alberta
- Full-time
We engineer change for a more stable and sustainable world.

Hays

Data Quality Engineer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 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.

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More about this job

Responsibilities

Define and implement quality assurance processes, test strategies, and automated testing frameworks for enterprise data platforms, ETL pipelines, APIs, and cloud-based systems across Azure and Google Cloud. Validate data accuracy, integrity, performance, and security; track defects; improve testing practices; and collaborate with stakeholders while mentoring junior quality engineers.

Requirements

Requires a bachelor's degree in Computer Science, Information Technology, Engineering, or 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 automated testing, data pipelines and ETL validation in Azure and/or Google Cloud, proficiency in Python, Java, and SQL, and familiarity with CI/CD and Agile practices.

Skills

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

Benefits

Competitive Compensation
Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

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

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