Data Documentation & Quality, Fall 2026 - Toronto (Co-op/Internship) - 4 Months

quadreal; Toronto; On-site; CAD 20,000 - 27,000; Part time

Job summary

QuadReal Property Group, based in Toronto, is offering an entry-level Co-op/Intern position in the Enterprise Data & Analytics (ED&A) team. You will support building automated data quality tests, document data models, and develop transformations using dbt, SQL, Microsoft Fabric, Apache Airflow, and Azure DevOps.

All work is reviewed by a senior engineer before production. Ideal candidates are enrolled in data analytics, engineering, business, science, technology, or mathematics programs, with

Qualifications

• Enrolled in an academic program related to data analytics, engineering, or tech.
• Strong SQL skills with experience in joins, aggregations, and window functions.
• Proficient in Python for data tasks and understanding Power BI reports.
• Familiarity with Git and code-review practices.
• Able to design and implement data quality tests and documentation.

Responsibilities

• Work with the Data Solutions team under a senior engineer on defined tasks.
• Build automated data quality tests in dbt and validate models per specs.
• Document findings and perform root-cause analysis for failures.
• Create and maintain model and column documentation for data models.
• Develop simple transformation models from written specs under supervision.
• Contribute to the internal engineering handbook and onboarding materials.

Skills

SQL

Python

Power BI

Git basics

Data quality tests

Code documentation

Problem solving

Communication

Education

Data Analytics program

Tools

dbt

Azure

Airflow

Microsoft Fabric

Git

Job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here. www.quadreal.com

We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity to participate in a variety of experiences including our Corporate Speaker Series, Fireside Chats, Volunteer opportunities and Networking events.

Eligibility Note:

To qualify for a student (Co-op/Internship) opportunity, students must be enrolled in their academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal. If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities.

Based in Toronto, the Co-op/Intern, Data Documentation & Quality will report to the Senior Analytical Engineer and support our growing Enterprise Data & Analytics (ED&A) team at QuadReal. This is an entry-level, supervised role: the successful candidate will work from defined specifications and assigned tickets to build automated data quality tests, complete model documentation, and develop straightforward transformation models, using Microsoft Fabric, SQL, dbt, Apache Airflow, and Azure DevOps. All work is reviewed by a senior engineer before it reaches production.

What We Offer:

• An organization and leaders that support your development through meaningful work experience
• A Student Mentorship Program designed to provide support throughout your experience
• Opportunities to build your industry knowledge through weekly Speaker Series & Fireside Chats
• Opportunities to participate in case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving.
• Giving back to the community with your peers and team members through volunteering events
• Opportunities to build long-lasting industry and professional relationships

What You Will Experience:

• Work alongside the Data Solutions team, taking direction from a dedicated senior engineer on a defined set of assigned tasks.
• Build automated data quality tests in dbt, uniqueness, referential integrity, accepted values, and source freshness, against specifications provided by the engineering team.
• Investigate test and pipeline failures, document your findings, and elevate root-cause analysis to your supervising engineer.
• Author model and column documentation for our data models, and help keep our auto-generated documentation site and data catalogue current as models change.
• Develop straightforward transformation models from written specifications, and make scoped modifications to existing models under senior direction.
• Contribute to our internal engineering handbook, improving the standards and onboarding material the team relies on.
• Learn modern data stack tooling hands-on; dbt, SQL, Microsoft Fabric, Apache Airflow, and Azure DevOps, inside a real production environment with code review and CI/CD.

What You Will Bring:

• Currently enrolled in an academic program preferably in Data Analytics, Engineering, Business, Science, Technology, or Mathematics.
• You write SQL confidently and independently; joins, aggregations, and window functions are familiar ground rather than something you would need to look up.
• Comfortable using Python for data work, and able to navigate and interpret a Power BI report.
• Strong quantitative and analytical skills; detail-oriented and at ease building and handling complex data sets.
• Familiar with Git fundamentals; branching, commits, and pull requests, and ready to work in a code-review culture.
• Clear and precise written communication; documentation is a meaningful part of this role.
• Exposure to dbt or a similar templated SQL transformation framework, and familiarity with cloud platforms (Azure/AWS/GCP) and CI/CD, are considered assets.
• The ability to problem-solve and ask good questions while working