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Montréal, Québec, Canada
Onsite
Who We Are:
CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers’ training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness.
CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness.
CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are, and we strive to make a difference in the world while helping each other succeed.
Summary
The Data Quality Analyst is responsible for ensuring that all data products delivered on the Microsoft Fabric platform are accurate, reliable, and fully aligned with business objectives defined through the Goal–Question–Metrics (GQM) model. This role validates data quality across the Medallion architecture (Bronze, Silver, and Gold) by applying CAE’s Data Platform Coding Framework to perform end-to-end testing of data acquisition flows. It also ensures that data products comply with governance standards through Microsoft Purview, including the evaluation of metadata, lineage, and data security controls.
Acting as a key bridge between business and technical teams, the Data Quality Analyst manages defects, verifies performance and data integrity, and drives continuous improvement to ensure that analytics outputs are trusted, auditable, and enable effective data-driven decision-making.
Responsibilities:
Ensure data products align with business goals (GQM) and are fully traceable from source to Power BI.
Validate data quality across bronze, silver, and gold layers, and confirm Fabric data products are complete, reliable, and production ready.
Test Power BI reports end-to-end to ensure accurate visuals and metrics.
Enforce governance standards using Purview, including metadata, lineage and quality scoring.
Develop and execute test plans, validate performance and refresh reliability, and manage defects by working with teams to identify root causes.
Continuously provide quality insights to improve data reliability and strengthen trust in analytics.
Minimum Qualifications
Bachelor’s degree in computer science, Engineering, or related field.
3+ years of experience in data QA, data validation, or analytics testing
Experience with Python, SQL is a requirement
Experience with software development lifecycle management (eg: Git and version control).
Strong understanding of data warehousing concepts (Medallion architecture)
Experience with Microsoft Fabric and Azure.
Hands-on experience with Power BI (validation/testing perspective)
Familiarity with data governance concepts
Technical Skills
Python, SQL and data validation techniques
Data quality frameworks (accuracy, completeness, consistency, timeliness)
ETL/ELT pipeline validation
Power BI testing and data reconciliation
Testing methodologies (functional, integration, regression)
Nice-to-Have
Experience with Goal–Question–Metrics (GQM) methodology
Exposure to data mesh / data product approach
Familiarity with Microsoft Purview governance capabilities
Experience in regulated environments (e.g., defense, aviation, public sector)
What You’ll Bring
Attention to detail and strong data validation mindset
Ability to translate business requirements into testable scenarios
Strong collaboration with end-users, data engineers, data analysts, and governance teams
Ownership mindset for data quality and trust
Benefits
Group Insurance
Telemedicine and Employee and Family Assistance Program
Group RRSP
CAE Pension Plan/Defined Benefit Plan
Sabbatical Leave
Flex Time
Enhanced Parental Leave
At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.
CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email CAECarrieres-Careers@cae.com if needed.
As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.
