Job Description
Insight Global is seeking a Data & AI Engineer to join a high-performing data team focused on building next-generation AI-enabled data solutions.

This individual will operate at the intersection of data engineering and artificial intelligence, designing and developing end-to-end pipelines that power advanced analytics and agentic AI capabilities.

The ideal candidate will have a strong foundation in data engineering, with experience building scalable ETL pipelines using tools such as Python, PySpark, Snowflake, and Apache Airflow.

This role will involve enabling AI capabilities within existing data pipelines, as well as contributing to the development of AI agents and emerging agentic AI frameworks.

Day-to-day, the engineer will design, build, and deploy data pipelines, integrate AI-driven functionality into structured datasets, and support the development of scalable, production-grade AI solutions.

This role requires someone comfortable owning the full lifecycle—from pipeline development and orchestration to deployment and optimization.

This is an opportunity to work on cutting-edge AI initiatives within a data-focused environment, helping shape how AI is operationalized across large-scale data systems while collaborating closely with cross-functional engineering and analytics teams.

We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal opportunity/affirmative action employer that believes everyone matters.

Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy),



sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected].

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements
• 8–12 years of experience in Quality Engineering with a strong focus on automation testing
• Hands-on experience testing data pipelines and validating data flows for reporting tools (Tableau experience preferred)
• Strong experience with SQL for querying and validating data within SQL Server
• Experience using Python for test automation and scripting
• Proven experience writing and executing automated test scripts using tools like Selenium or QTest
• Experience designing and executing QA test plans, including creating detailed test cases
• Experience working with CI/CD pipelines and Dev

Ops processes (Git

Hub preferred)
• Experience working in Agile environments using tools such as Jira, Confluence, and Service

Now
• Robust understanding of end-to-end testing across data pipelines, including data validation and reporting outputs • Experience with Tableau reporting validation
• Experience triggering and managing automated tests through Git

Hub pipelines
• Previous experience supporting data-heavy or reporting-focused applications
• Exposure to automation frameworks and building reusable testing assets

📌 Senior AI Data Engineer (Toronto)
🏢 Insight Global
📍 Toronto