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Added 2 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 4 hours ago
K
Senior Software Engineer, Payments
Kindsight
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
We are seeking a Senior Software Engineer, Payments to join a newly forming Payments Engineering team and take meaningful ownership of Kindsight's next-generation Payments Platform.
Added 4 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
As the Cloud Infrastructure and DevSecOps Engineer, you will own the end-to-end cloud infrastructure and deployment pipeline for InfoTrack Canada. You will unblock critical environment…
Added 5 hours ago
X
Cloud Engineer
Xanadu
Toronto, ON
- Full-time
As a Cloud Engineer, you will contribute to the cloud platform and the infrastructure which hosts all our internal projects workloads. You will work on a team to support and maintain…
Added 5 hours ago
X
Data Platform Engineer
Xanadu
Toronto, ON
- Full-time
As a Data Platform Engineer, you will take Xanadu’s existing data pipelines and transform them into a cohesive data platform. Working alongside hardware researchers, data scientists, and…
Added 5 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
…asset ecosystem by replacing legacy on-premises platforms with cloud-native SaaS solutions centred around…
Added 8 hours ago
AC
Senior Analytics Engineer
Aviva Canada
Markham, ON
- Full-time
…engineering best practices and the modernization of our data platform. You will work closely with the team supporting our Qlik environment and contribute significantly to our migration to…
Added 8 hours ago
TI
DevOps Engineer
Themesoft Inc.
Toronto, ON
- Contract
We are seeking a highly skilled DevOps Engineer to support application teams in migrating deployment processes from Jenkins, RLM, and manual deployments to GitHub Actions. The ideal…
Added 8 hours ago
LD
Staff Data Engineer
Loblaw Digital
Toronto, ON
- Full-time
As a Staff Data Engineer, you will play a technical leadership and architecture role on the Retail Media Platform team. This is a senior, hands-on position focused on designing, building,…
Added 9 hours ago
S
DevOps Engineer
Synechron
Halifax, NS
- $110,000 to $115,000 CAD / year
- Full-time
Participate in infrastructure design decisions and contribute to long-term cloud and platform strategy
Added 16 hours ago
ES
Delivery Manager / Senior Delivery Manager for Financial Services
EPAM Systems
Toronto, ON
- Full-time
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities.…
Added 18 hours ago
ES
Solution Architect
EPAM Systems
Canada
- Full-time
From AI to cloud transformation, you'll collaborate with top-tier innovators, gain autonomy to explore your ideas, and grow your skills in a culture built for tech excellence.
Added 23 hours ago
A(
Senior DevOps Engineer
Arilot (now - Dysnix)
ON · Regional Municipality of York, ON
- Internship
Added 23 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 day ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
We are seeking a skilled Compute Platform SRE Lead to support EPAM's Compute Managed Services project. The role focuses on KTLO (Keep the Lights On) activities, ensuring 24x7 monitoring,…
Added 1 day ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
We are looking for a senior-level Infrastructure Engineer with deep expertise in Azure Cloud architecture and production-grade Terraform development. You will own the creation,…
Added 1 day ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
We are seeking a Cloud Engineer II within the Site Reliability Engineering team to support the reliability, automation, and operational efficiency of the Kinaxis SaaS platform. In this…
Added 1 day ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Principal AI/ML Engineer, you will define and drive implementation approaches for enterprise-scale AI initiatives that transform how lululemon operates and delivers value. You will…
Added 1 day ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
Design Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomes
Added 1 day ago
MC
Platform Engineer - Azure (35991)
Myticas Consulting
Canada
- Contract
Hands-on experience implementing Azure infrastructure and cloud platform services.
Added 1 day ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Our Toronto Financial Client is seeking two AI Platform Engineers to support a large enterprise AI transformation program. The successful candidates will design, build, and operate AI…
Added 1 day ago
MC
Technical Consultant III (35732)
Myticas Consulting
Toronto, ON
- Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 1 day ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
Experience with Google Cloud Platform, Vertex AI, Gemini Enterprise, Databricks, Spark/PySpark, Delta Lake, Unity Catalog, MLflow, or comparable cloud AI and data platforms*
Added 1 day ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 1 day ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
…maintainability while collaborating closely with the Principal Engineer. You'll have direct impact on the platform's health, engineering culture, and the technical growth of the…

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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