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Added 11 mins ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
…live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side-by-side with a powerful…
Added 11 mins ago
O
AI Automation Engineer
Osmow's
Mississauga, ON
- Full-time
Our approach is simple: Automate Improvement. We identify areas where data, AI and automation can remove friction, accelerate decision-making and improve how the business operates at scale.
Added 26 mins ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 hour ago
TT
CNC Machining Centre Programmer
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Experience with 3d modeling programs such as Creo/Pro Engineer, AutoCAD inventor, solidworks, Rhino, Sketchup, Catia an asset.
Added 1 hour ago
TT
Co-op or Recent Graduates - CNC Programmers
Titan Trailers Industries Limited - UK
Tillsonburg, ON
- Full-time
Experience with 3d modeling programs such as Creo/Pro Engineer, AutoCAD inventor, solidworks, Rhino, Sketchup, Catia an asset.
Added 1 hour ago
FI
QA Analyst
Fellow Insights Inc.
Remote, Canada
- Full-time
- Remote
A QA Engineer focused only on automation. Automation experience matters here, but the center of the role is manual QA and holistic testing.
Added 3 hours ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Montréal-Est, QC
🔹 2. Programmer – Aerospace Metrology Automation
Added 3 hours ago
𝗔erospace 𝗢penings
Sapsol Technologies Inc
Longueuil, QC
🔹 2. Programmer – Aerospace Metrology Automation
Added 3 hours ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
10+ years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 4 hours ago
Y
GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Collaboration: Work closely with crossfunctional teams including data scientists, engineers, and product managers to implement and test improvements.
Added 4 hours ago
Test Development Team Lead
Nureva
Calgary, AB
The ideal candidate is a strong software engineer with a passion for quality, automation, and
Added 5 hours ago
OA
Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We bring at least 2 years of experience in backend engineering, AI automation, or integrating complex systems.
Added 5 hours ago
I-
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 6 hours ago
T
GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Collaboration: Work closely with cross-functional teams including data scientists, engineers, and product managers to implement and test improvements.
Added 6 hours ago
LC
Programming Engineer
Linamar Corporation
Guelph, ON
- Full-time
The Programming Engineer is responsible for designing, developing, and supporting software and system solutions that enhance manufacturing and engineering operations. This role owns key…
Added 6 hours ago
M
AI Security Architect
Manulife
Toronto, ON
- Full-time
3+ years of experience securing AI, machine learning, or advanced analytics solutions, including AI governance, data protection, and risk management practices.
Added 6 hours ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business…
Added 6 hours ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
The Applied AI Data Ingestion & Integration (DII) team provides end‑to‑end services to help move, prepare, and operationalize data for AI and analytics workloads. As a Senior Manager within…
Added 7 hours ago
M
Business System Analyst
MethodHub
Vancouver, BC
- Contract
· Work with DevOps engineers to define requirements for CI/CD pipelines, build and deployment automation, artifact management, release gating, and environment promotion.
Added 7 hours ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations…
Added 7 hours ago
SC
Water Resource Engineer
SLR Consulting
Victoria, BC · Nanaimo, BC · Kamloops, BC · Vancouver, BC · Kelowna, BC
- Full-time
Proficiency in R (or Python) for data processing, statistical analysis, visualization, and automation of hydrological workflows.
Added 7 hours ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…infrastructure that powers our ingestion pipelines and real-time data processing systems. Our platform ingests, processes, and distributes hundreds of thousands of events per second with…
Added 7 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Leverage Gen-AI/AI capabilities such as Claude, CoPilot, others – to generate code, test data generation and automated testing. Demonstrate keen interest in leveraging automation for…
Added 7 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 7 hours ago
Logistics Engineering Specialist
Siemens
Concord, ON
The Logistics Engineer is responsible for analyzing, designing, implementing, and continuously improving material-flow and logistics processes across warehouse, receiving, production,…

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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