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Added 12 days ago
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AI Platform Engineer
SDLC Technologies
Toronto, ON
- Contract
· Lead and actively contribute to the development of AI products, pilots, and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.
Added 12 days ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Senior Site Reliability Engineer - AEM - Content Delivery Network
Added 12 days ago
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DevOps Automation Engineer
SMARTFOX
Canada
- Full-time
Automate configuration, patching, environment setup, and onboarding with Python, Bash, Go, or Ansible
Added 12 days ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
A leading organization is seeking a highly skilled and experienced Senior Quality Engineer to join its Enterprise Technology and Data team.
Added 12 days ago
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[C] Senior Software Engineer - Developer Platform
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON · Scotiabank Arena
- Full-time
We are looking for a senior, hands-on software engineer with broad experience across software development, cloud infrastructure, DevOps, and developer tooling. You should be comfortable…
Added 12 days ago
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Application Security Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an Application Security Engineer based in Canada.
Added 12 days ago
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AI System/Hardware Architect
Qualcomm
Markham, ON
- Full-time
We are searching for a season AI Systems Architecture Engineer to be part of the Qualcomm AI Processor team responsible for analyzing and developing Artificial Intelligence / Machine…
Added 12 days ago
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Full Stack Developer
TEKsystems
Toronto, ON
- $80 to $90 CAD / hour
- Contract
Software Engineer for AI Engineering team developing and delivering AI solutions for Broker Submissions parsing and automation. This is an integration-focused initiative supporting Intact's…
Added 12 days ago
TS
Forward Deployed Engineer
The SeventhHire LLC
Toronto, ON
- Full-time
Experience with strong tenure at a recognizable early/high- growth startup
Added 12 days ago
TC
forward Deployed Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 12 days ago
AT
Sr. AI Engineer
Arkhya Tech Inc.
Canada
- Full-time
Sr. AI Engineer – Vertex AI & GEAP Agent Builder with CI/CD experience (Not ML Engineers). More like Solution engineers.
Added 12 days ago
AT
Artificial Intelligence Engineer
Arkhya Tech Inc.
Canada
- Contract
Experience with Vertex AI, Agent Builder, and LLM-based application development.
Added 12 days ago
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Design Verification Lead
AMD
Markham, ON
- $155,200 to $232,800 USD / year
- Full-time
As a Design Verification Engineer Lead in the AECG Group, you will help bring to life cutting-edge FPGA and ASIC solutions for a broad range of customers. As a member of the front-end…
Added 12 days ago
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 12 days ago
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Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 12 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
Added 12 days ago
C
Technical Lead
Cognizant
Toronto, ON
- Full-time
We are seeking a Senior Generative AI Engineer with 7+ years of experience in software engineering, full stack development, and AI-powered solutions. In this role, you will design, build,…
Added 12 days ago
C
Senior Generative AI Engineer
Cognizant
Toronto, ON
- Full-time
We are seeking a Senior Generative AI Engineer with 7+ years of experience in software engineering, full stack development, and AI-powered solutions. In this role, you will design, build,…
Added 12 days ago
Java Developer
Capgemini
Montreal, QC
We are seeking a Java Engineer to join the Firm Market Risk Technology Team. In this hands-on Software Engineering role, the successful candidate will design, build, enhance, and optimize…
Added 12 days ago
C
Senior Full-Stack Engineer, Cohere Dashboard
Cohere
Remote, Canada
- Full-time
- Remote
You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
Added 12 days ago
Production Support - SRE
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below:-
Added 12 days ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 12 days ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 12 days ago
Production Support Engineer (Salesforce)
Capgemini
Toronto, ON
Coordinate releases, bug fixes, and enhancements with internal teams and vendors
Added 12 days ago
Senior Data Warehouse Engineer
Capgemini
Montreal, QC
We are seeking a experienced and results-oriented Senior Data Warehouse Engineer to work our data warehouse modernization and performance optimization initiatives. The ideal candidate will…

Hays

Data Quality Engineer

Toronto, ON, Canada

Pay Rate: $65/hr to $80/hr · Contract

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Job details

Pay: Pay Rate: $65/hr to $80/hr
Job type: Contract
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

Pay Rate: $65/hr to $80/hr

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 functional, non-functional, automated, and performance tests to validate data quality, ETL pipelines, APIs, and enterprise data platforms across Azure and Google Cloud. Track 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 relevant 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, CI/CD, and Agile or other software development methodologies.

Skills

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

Benefits

Professional Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Quality Engineering
Software Quality Assurance
Test Automation
Selenium
JUnit
TestNG
ETL
Data Validation
Data Warehousing
Data Integration
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
Performance Testing

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