Senior Quality Engineer – Data & Cloud
Location: Toronto, ON – Hybrid, 1 day/week onsite
Contract: 12 months to start
Start: November 2026
We’re looking for a Senior Quality Engineer with strong experience in data quality, QA automation, and enterprise data platforms.
This is a hands-on role focused on testing and validating complex ETL/ELT pipelines, building automated data validation frameworks, and ensuring data quality across modern cloud environments.
What You’ll Do
- Test and validate complex data pipelines and ETL/ELT workflows
- Perform source-to-target validation, data reconciliation, and transformation testing
- Build automated testing frameworks using Python and SQL
- Test data platforms across Azure and/or GCP
- Work with technologies such as Microsoft Fabric, Synapse, Azure Data Factory, BigQuery, and Dataflow
- Perform API, integration, and performance testing
- Integrate automated testing into CI/CD pipelines
- Troubleshoot data-quality issues and work closely with engineering teams
What We’re Looking For
- 7–12 years of QA / Quality Engineering experience
- 3–5+ years testing enterprise data platforms
- Strong SQL and Python
- Strong understanding of ETL/ELT, data warehousing, and data pipelines
- Experience with Azure and/or GCP
- Experience building automated testing or data validation frameworks
- Familiarity with Git, Azure DevOps, Jenkins, or similar CI/CD tools
Nice to have: Microsoft Fabric, Azure Synapse, BigQuery, Dataflow, Airflow/Cloud Composer, data governance, or AI/ML data validation experience.
This is a great fit for someone who understands how data moves, how transformations work, and how to identify and prevent data-quality issues through automation.
