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Added 1 month ago
AI Security Engineer
Celestica International LP
Toronto, ON
Design AI Guardrails and rules to Secure AI Agents and data.
Added 1 month ago
L
Customer Success Application Engineer
Litmus
Toronto, ON
- Full-time
Litmus is building the data foundation that powers industrial AI.
Added 1 month ago
N
Data Engineering Consultant
Netlight
Toronto, ON
- Full-time
As a Data Engineering Consultant at Netlight, you will join a collaborative, ambitious, and mutually supportive environment where you define your own journey. You’ll partner with…
Added 1 month ago
MF
AI & Automation Engineer (Enterprise)
Magnet Forensics
Ottawa, ON · Toronto, ON · Waterloo, ON
- $110,000 to $130,000 CAD / year
- Full-time
…integrations, and at least one scripting or programming language (Python, PowerShell, JavaScript/TypeScript, C#, or Bash ), along with working knowledge of SQL and structured data formats…
Added 1 month ago
Research Officer in Accelerated Materials Discovery Laboratories
National Research Council Canada
Mississauga, ON
development of the data handling and post-processing automation workflow
Added 1 month ago
ST
Intermediate Systems Engineer
SPX Technologies
Mississauga, ON
- $90,100 to $127,400 CAD / year
Radiodetection is part of the SPX Detection and Measurement platform. It is the world’s leading developer of water, wastewater, and storm water inspection equipment. With CCTV cameras,…
Added 1 month ago
NP
Senior AI Developer (Coming Soon!)
Nuclear Promise X
Remote, Canada
- $130,000 to $160,000 CAD / year
- Full-time
- Remote
We’re looking for a hands-on Senior AI Developer who enjoys both designing systems and implementing them in production code. You’ll play a key role in building and shipping enterprise-grade…
Added 1 month ago
TC
Payload System Verification and Validation Engineer
TMC Canada
Montreal, QC
- Full-time
Automate test execution, instrument control, data reduction, and verification reporting using Python, MATLAB, LabVIEW, SCPI, VISA, or equivalent environments ;
Added 1 month ago
RS
Site Reliability Engineer
Redwood Software
ON
- $125,000 to $145,000 CAD / year
…business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric - with AI embedded across the automation lifecycle…
Added 1 month ago
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DATA ENGINEER
SIDRAM TECHNOLOGIES
Mississauga, ON
- Full-time
…#MetadataManagement #DataAnalytics #DataWarehouse #ETL #Oracle #SQL #PLSQL #Python #Java #API #SDK #Citi #CitiBank #MississaugaJobs #CanadaJobs #TorontoJobs #FullTimeJobs #ITJobs #TechJobs…
Added 1 month ago
TC
Data Engineer
TMC Canada
Montreal, QC
- Full-time
We're looking for talented Data Engineers to contribute to the development of core infrastructure components across Sybase, DB2, and MSSQL database platforms, as well as newer platforms…
Added 1 month ago
LC
CRM QA Engineer
Lontours Canada Limited
Toronto, ON
- $80,000 to $102,000 CAD / year
- Full-time
…Development, Applications Support, Enterprise Value Delivery and Engineering. The group identifies and develops technological strategies that support GVI’s business goals and objectives to…
Added 1 month ago
LC
Data QA Engineer
Lontours Canada Limited
Toronto, ON
- $85,000 to $105,000 CAD / year
- Full-time
The preferred candidate will hold a bachelor's degree in Computer Science, Information Systems, Data Analytics, Data Engineering, or a related field; or three to five years of related…
Added 1 month ago
VI
Machine Learning Associate
Vector Institute
Toronto, ON
- Up to $32 CAD / hour
- Contract
Research and design effective AI solutions aligned with the company’s business goals, data readiness, and infrastructure constraints; and,
Added 1 month ago
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Senior Infrastructure Engineer
JSI
Ottawa, ON
- Full-time
This role requires extensive experience with enterprise data center infrastructure, networking, virtualization, systems integration and cloud computing. The ideal candidate will be…
Added 1 month ago
LI
Senior Java Software Engineer
LanceSoft, Inc.
Montreal, QC
- Contract
Ensure all code aligns with established architectural standards, integration patterns, and enterprise engineering guidelines.
Added 1 month ago
DI
Site Reliability Engineer (1890)
Direct IT Recruiting Inc.
Toronto, ON
- $85 to $94 CAD / hour
- Contract
SKILLS: Python, GitHub Actions, CI/CD, automation, Site Reliability Engineering, Dynatrace, Argo CD, PowerShell, observability
Added 1 month ago
A
Data Engineer
Altimetrik
Mississauga, ON
- Full-time
Data lineage, application development, python or Java coding experience
Added 2 months ago
AI and Data - Manager - AI/ML Engineer
EY
AB · Calgary, AB
Bachelor’s degree in Computer Science, Engineering, Data Science or a related field.
Added 1 month ago
B
Senior Data Engineer
BMO
Toronto, ON · SCC
- Full-time
Data and AI Technology (DAT) Engineering supports BMO's Digital-First, risk, regulatory and compliance requirements by building data and AI products that provide timely actionable insights…
Added 1 month ago
Research Officer in Self-driving Laboratories for Accelerated Process Optimization for Clean Energy
National Research Council Canada
Mississauga, ON
development of the data handling and post-processing automation workflow
Added 1 month ago
WT
Senior Software Developer, AI Platform
Wealthsimple Technologies
Remote, Canada
- $152,000 to $189,000 CAD / year
- Full-time
- Remote
Drive measurable adoption across a polyglot engineering organization. Work across teams using Ruby on Rails, Python, TypeScript, and Java/Kotlin to ensure the platform meets developers…
Added 1 month ago
ID
Data Scientist & Machine Learning Engineer
Identity Digital Inc.
Toronto, ON
- $87,000 to $114,000 CAD / year
- Full-time
Bachelor's Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferred
Added 1 month ago
E
Senior Backend Engineer
Eleven-X
Waterloo, ON
- Full-time
…design through production operation, work across product and engineering teams, and improve the reliability and scalability of software that connects hardware, networks, and customer-facing…
Added 1 month ago
BQ
QNX Open Source Analyst
BlackBerry QNX
Ottawa, ON · Waterloo, ON
- Full-time
Develop automation solutions primarily in Python in order to drive improvements into our operations

Lontours Canada Limited

Data QA Engineer

Toronto, ON, Canada

$85,000 to $105,000 CAD / year · Full-time

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Job details

Pay: $85,000 to $105,000 CAD / year
Job type: Full-time
Experience: 3+ years of quality assurance experience, with experience focused on enterprise data platforms, data integration, analytics, or data migration.
Posting language: English
Posted: Sep 16, 2026

Original job description

ABOUT GLOBUS FAMILY OF BRANDS

With 95+ years in travel, the award-winning Globus family of brands, consisting of Globus, Cosmos, and Avalon Waterways, creates vacations that offer travelers culture-rich experiences featuring must-see sights, the stories behind the scenes, and countless joy-filled memories in more than 70 countries on six continents across the globe. With equal measures of vision and hard work, team collaboration and commitment, adaptability, honesty, integrity, and a genuine love for travel, the Globus family of brands offers carefully planned tours, inventive cruises, and modern independent vacation packages to millions of travelers.

Travel and/or in-office presence may be required at times. Generous benefit package including travel benefits and retirement.

THE DEPARTMENT

The Technology department identifies and develops technology strategies that support GVI business goals and objectives, helping ensure internal and external partners are supported by stable, secure, and effective systems. The Data & Analytics function supports trusted data, data products, integrations, reporting, governance, and insights across the organization.

THE POSITION

The Data Quality Assurance Engineer is responsible for planning, designing, and executing automated and manual testing to ensure the accuracy, completeness, reliability, security, and performance of enterprise data solutions. This role works closely with Data Engineers, Analytics Engineers, Product Owners, Business Analysts, Developers, and business stakeholders to validate data pipelines, integrations, transformations, models, reports, and data products against business and technical requirements before release to production.

The Data QA Engineer plays a critical role in ensuring that data is fit for purpose, traceable from source to consumption, and aligned with approved quality standards and business rules. The Data QA Engineer is responsible for the following results:

Test Plan Development

Develop, coordinate, and execute comprehensive test plans for data platforms, pipelines, integrations, migrations, and data products across environments.
Create detailed test cases, scenarios, and test data to validate data completeness, accuracy, consistency, timeliness, uniqueness, and referential integrity.
Design and maintain automated, reusable test scripts for data pipelines, application programming interfaces, batch processes, and system integrations.
Validate source-to-target mappings, transformation logic, business rules, schemas, metadata, and data models.
Perform reconciliation testing across source systems, integration layers, master data platforms, data warehouses, reporting platforms, and downstream applications.
Collaborate with business and technical stakeholders to ensure test coverage aligns with functional requirements, acceptance criteria, and approved data definitions.
Document quality assurance activities, test results, evidence, defects, and exceptions to support audits, compliance, release readiness, and traceability.
Establish repeatable testing protocols for data releases, migrations, upgrades, and third-party integrations.

Delivery

Identify, log, analyze, and track defects related to data quality, transformation logic, integration behavior, security, lineage, and reporting using approved tracking tools.
Perform functional, regression, integration, migration, performance, and data validation testing across data environments.
Validate data movement and synchronization between upstream and downstream systems, including customer, finance, marketing, operational, and reporting platforms.
Confirm exception handling, error logging, restart and recovery behavior, and monitoring controls perform as designed.
Ensure data solutions meet agreed quality, performance, security, privacy, and usability standards.
Continuously improve data QA processes, automation coverage, test data management, controls, and testing tools.
Support user acceptance testing and partner with business stakeholders to validate data products and reporting before production deployment.
Assist with documentation for data rules, mappings, testing procedures, known limitations, and user guidance.

Relationships

Build strong, trust-based relationships with data teams, developers, product teams, governance partners, and business stakeholders.
Act as a quality advocate for enterprise data solutions and promote early testing throughout delivery.
Collaborate with data owners and users to understand real-world data use and anticipate risk areas.
Communicate clearly on defects, data quality findings, test outcomes, risks, dependencies, and release readiness.
Promote a data-driven and customer-focused mindset in solution design and delivery.
Contribute actively to a collaborative, solution-oriented QA team.
Cross-train and provide backup support for other QA team members as needed.

EDUCATION

The preferred candidate will hold a bachelor's degree in Computer Science, Information Systems, Data Analytics, Data Engineering, or a related field; or three to five years of related experience and/or training; or an equivalent combination of education and experience.

EXPERIENCE PREFERRED

3+ years of quality assurance experience, with experience focused on enterprise data platforms, data integration, analytics, or data migration.
Experience testing with Microsoft Dynamics application and/or data
Experience testing data pipelines, extract-transform-load processes, data warehouses, data lakes, master data platforms, or comparable enterprise data solutions.
Experience validating source-to-target mappings, transformation rules, dimensional or relational models, reports, dashboards, and data security controls.
Hands-on experience with Structured Query Language, data profiling, reconciliation, and root-cause analysis.
Experience testing application programming interfaces, file-based integrations, batch processes, and near-real-time data flows.
Experience with test automation tools or frameworks used for data validation and regression testing.
Experience with scripting or programming languages such as Python, Java, or JavaScript.
Database experience with Oracle, SQL Server, or similar relational databases.
Familiarity with cloud data platforms, version control, continuous integration and delivery, and DevOps practices in a QA or release environment.
Ability to translate business data rules into clear, repeatable test scenarios and acceptance criteria.

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More about this job

Responsibilities

The Data QA Engineer is responsible for planning, designing, and executing automated and manual tests to ensure the accuracy, reliability, and performance of enterprise data solutions. They collaborate with cross-functional teams to validate data pipelines, integrations, and models against business and technical requirements.

Requirements

The candidate should hold a bachelor's degree in a relevant field or possess three to five years of related experience. Proficiency in SQL, test automation frameworks, and experience with enterprise data platforms are essential for this role.

Skills

Data quality assurance
Automated testing
Manual testing
SQL
Python
Java
JavaScript
Data pipelines
Data integration
Data warehousing
Microsoft Dynamics
Test automation
Regression testing
Data profiling
Root-cause analysis
API testing

Benefits

Travel benefits
Retirement

Visa sponsorship

Not detected in the job text

Keywords

Data QA
Automation
SQL
Python
Java
JavaScript
Microsoft Dynamics
Data Pipelines
ETL
Data Warehousing
Data Lakes
API Testing
Regression Testing
Data Profiling
Oracle
SQL Server
Cloud Data Platforms
DevOps
CI/CD
Version Control
Data Governance
Data Lineage
Reconciliation
Test Planning
Quality Assurance

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