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Added 17 mins ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
The data platform runs on Databricks and Google Cloud. Several AI solutions are already live in production and have delivered measurable reductions in claims processing time.
Added 1 hour ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 1 hour ago
H
Senior Data Engineer
HCLTech
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform…
Added 1 hour 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 1 hour ago
N
Software Engineer - Platform Services
Nokia
Ottawa, ON · Kanata, ON
- Full-time
…drive the development of cutting-edge platforms. As a Software Engineer in Platform Services, you will be part of a dynamic team responsible for designing and developing scalable and robust…
Added 1 hour 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 1 hour 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 1 hour ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
Experience with Azure and/or Google Cloud Platform.
Added 2 hours ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
Cloud Computing, Cloud Computing Architecture, Cloud Migrations, Cloud Platform, Cloud Security, Collaboration, DevOps, Enterprise Cloud, Infrastructure as a Service (IaaS), Infrastructure…
Added 2 hours ago
RE
Data Architect
Rodan Energy Solutions Inc.
Mississauga, ON
- Full-time
Databricks certification, such as the Databricks Azure Platform Architect accreditation or Data Engineer Professional
Added 3 hours ago
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DevOps- AI Platform Engineer
Galent
Halifax, NS
- Contract
Experience with a public cloud technology, i.e. Azure, AWS
Added 3 hours ago
CT
Data Engineer, Enterprise Data, Insights & Analytics
Canadian Tire Corporation
Toronto, ON
- Full-time
Work with platform and infrastructure teams to align on Azure environments, access, and deployment standards, while owning project‑specific data transformations and logic.
Added 3 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
We are seeking a hands-on Data Engineer to own both the underlying CRM data foundation and the Data360 platform. The role will design, build, govern, and support scalable data models,…
Added 4 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
…secure financial systems operating across SWIFT secure zones, cloud-native platforms (AWS/Azure), and legacy mainframe technologies (e.g., IBM Z). These platforms are undergoing…
Added 4 hours ago
SS
Application Support Engineer – SWIFT & Mainframe, Assistant Vice President
State Street
Toronto, ON
- Full-time
…secure financial systems operating across SWIFT secure zones, cloud-native platforms (AWS/Azure), and legacy mainframe technologies (e.g., IBM Z). These platforms are undergoing…
Added 4 hours ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
Experience with AWS (highly preferred) or other cloud products (Microsoft Azure, Google Cloud)
Added 4 hours ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform across SaaS,…
Added 5 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 5 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations…
Added 6 hours ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
Experience working in Azure cloud environments.
Added 6 hours ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 7 hours ago
AI
Software Architect
Arkion Identity Systems
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are building a highly secure and scalable cloud-native platform for non-human identity governance. We are looking for a Software Architect to define and implement the technical…
Added 7 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Familiarity with cloud platforms such as AWS, Azure, or GCP
Added 8 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
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 8 hours ago
I
Senior System Administrator
ICES
Toronto, ON
- Contract
Provide technical support to on-prem and Azure-hosted IT infrastructure and systems by utilizing advanced troubleshooting skills and industry knowledge to resolve issues and ensure optimal…

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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