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Added 9 mins ago
G
Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
…products. There will be numerous opportunities to grow your integration expertise, contribute to best practices, and collaborate with more senior team…
Added 9 mins ago
[VO2 Canada] - Développeuse.eur Java– Missions Ponctuelles
VO2 Group
Montreal, QC
Added 9 mins ago
ZT
Développeur de logiciels, professionnel II/ Software Engineer, Professional II
Zebra Technologies
Montreal, QC · CAN - Montreal, Canada
- Full-time
We are seeking a talented Software Developer in Montreal, QC to be part of the development of our cutting-edge visual programming tool for machine vision inspections.
Added 9 mins ago
O
Conseiller(ère) en ingénierie de données intermédiaire (R22 -VIM/VNA) - Qualité des données
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Définir les logiques d’intégration (ETL/ELT), appliquer les patrons de conception recommandés, et mettre en place des contrôles de qualité (validation, réconciliation, suivi des anomalies);
Added 9 mins ago
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Conseiller(ère) en ingénierie de données intermédiaire AA
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Définir les logiques d’intégration (ETL/ELT), appliquer les patrons de conception recommandés, et mettre en place des contrôles de qualité (validation, réconciliation, suivi des anomalies);
Added 9 mins ago
O
Conseiller(ère) en ingénierie de données intermédiaire AA
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Définir les logiques d’intégration (ETL/ELT), appliquer les patrons de conception recommandés, et mettre en place des contrôles de qualité (validation, réconciliation, suivi des anomalies);
Added 9 mins ago
W
Conseiller(ère) en ingénierie de données - Qualité des données
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Analyser les sources de données, définir les logiques d’intégration (ETL/ELT) et appliquer les patrons de conception (design patterns) recommandés;
Added 9 mins ago
W
Conseiller(ère) en ingénierie de données intermédiaire (R22 -VIM/VNA) - Qualité des données
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Définir les logiques d’intégration (ETL/ELT), appliquer les patrons de conception recommandés, et mettre en place des contrôles de qualité (validation, réconciliation, suivi des anomalies);
Added 9 mins ago
O
Conseiller(ère) en ingénierie de données - Qualité des données
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Analyser les sources de données, définir les logiques d’intégration (ETL/ELT) et appliquer les patrons de conception (design patterns) recommandés;
Added 9 mins ago
B
Lifecycle Optimization Manager
BGIS
Markham, ON
- Full-time
Evaluate landlord and tenant responsibilities for energy and sustainability measures and support the integration of requirements into leasing, renewal, fit-up, and capital decisions.
Added 22 mins ago
ZC
Full Stack Developer (Java/JavaScript)
Ztek Consulting
Montreal, QC
- $110,000 to $120,000 USD / year
- Full-time
We are seeking an experienced Full Stack Developer (Java/JavaScript) to join the Risk and Information Management team supporting Non-Financial Risk Management applications. The ideal…
Added 22 mins ago
C
Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
BA hands-on experience in data analysis/data warehouse/data integration through agile environment.
Added 22 mins ago
SM
Coordinated Access Addictions Caseworker
St. Michael's Hospital
Toronto, ON
- Temporary
…counseling, information and referrals to Toronto Central Local Health Integration Network (TCLHIN) funded addiction services across the City of Toronto. Coordinated Access also provides…
Added 22 mins ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Create and maintain technical documentation, solution designs, data models, and integration specifications.
Added 22 mins ago
GU
Telecom Designer
GenCore Utilities Ltd.
Markham, ON
- $50,000 to $70,000 CAD / year
- Full-time
Utilize tools such as AutoCAD, ESRI ArcGIS, and client platforms (e.g., SpatialNET, IKE Office) for data integration and validation.
Added 22 mins ago
A
Senior Software Engineer / Member of Technical Staff (MTS)
Akkodis
Brampton, ON
- Contract
Lead and participate in software implementation, integration, verification, and validation activities.
Added 22 mins ago
ES
Software Engineer Intern (Summer 2027 - 8-Months - Sports Technology - Undergraduate)
EA SPORTS
Vancouver, BC
- Temporary
Feature Implementation: Collaborate on the core logic and pipeline integration of shared technology features.
Added 22 mins ago
P
Workforce Intelligence Analyst
PTAG
Markham, ON
- Full-time
Understanding of data modeling, relational databases, data warehouses, data lakes, ETL processes, and data integration principles.
Added 22 mins ago
S
Senior FP&A Analyst
Stella-Jones
Montreal, QC
- Full-time
Collaborate with IT and cross-functional teams to improve data integration, enhance reporting systems, and drive automation.
Added 22 mins ago
AC
Lead Customer Project Support Engineer
ALTEN Canada
Markham, ON
- Full-time
Familiarity with SCADA, substation automation, communications, metering, and system integration.
Added 22 mins ago
ES
Client Software Engineer - EA Sports™ FC
EA SPORTS
Vancouver, BC
- Full-time
…mode logic, user interface architecture, online systems, and developer tools to bring exciting new features to…
Added 22 mins ago
TT
Application Specialist
TCA Technologies Inc.
Puslinch, ON
- Full-time
5+ years of experience in industrial automation, machine design, manufacturing systems, or automation integration.
Added 22 mins ago
TN
Software Development Lead
The North West Company
Winnipeg, MB
- Full-time
Translate business requirements into scalable technical designs, application components, APIs, database changes, and integration solutions.
Added 24 mins ago
TF
Marketing Content Specialist - Digital Science and Laboratory Automation
Thermo Fisher Scientific
Burlington, ON
- Full-time
Added 24 mins ago
T
Senior Business Application Specialist
TD
Toronto, ON
- Full-time
…within the project scope, and are internally consistent and integration architecture designs utilize the integration architecture components…

Hays

Data Quality Engineer

Toronto, ON, Canada

Contract

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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.

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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

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