QuadReal Property Group→
Data Engineering, Summer 2026 - Toronto… at QuadReal… · Toronto
Skills
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.
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 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.
As a Data Engineering Intern on our Enterprise Data Platform (EDP) team, you will play a key role in supporting the infrastructure that powers data-driven decision-making at QuadReal. Working as part of the Enterprise Data & Analytics (ED&A) function, you’ll help build, operate, and enhance a modern, reliable data platform—ensuring that business users across the company can access high-quality, trusted data when they need it most. This internship offers a unique opportunity to gain hands-on experience with Microsoft Fabric, open-source data tools, and platform automation—while collaborating with professionals across Data Engineering, Analytics, and Governance.
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:
Help build and operate our next generation cloud data platform in Microsoft Fabric.
Build and manage data pipelines using tools like dltHub and Airflow.
Automate core platform processes using Infrastructure as Code (IaC) tools, such as Terraform.
Support the implementation and monitoring of data quality and compliance frameworks.
Develop dashboards to monitor platform observability, including health, data quality and other performance metrics.
Collaborate across teams to promote enterprise data governance and standardization.
What You Will Bring:
Currently enrolled in an academic program, preferably in Engineering, Science, Technology or Mathematics.
Strong quantitative and analytical skills; detail-oriented and proficient in building and working with complex data sets.
Proficiency in SQL, Python, and data engineering principles (e.g. Warehousing, ETL/ELT).
Familiarity with cloud platforms (i.e. Azure, AWS, or GCP), dbt, data orchestration tools (e.g., Airflow), and CI/CD practices is considered an asset.
The ability to problem-solve while working in a fast-paced environment.
Excellent communication and presentation skills; ability to effectively communicate technical concepts and project outcomes.
This job posting is for a newly created role within our organization.
The expected hourly rate for this role is $28.
#LI-DNP
The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual’s skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.
We value diverse experiences and perspectives. Even if your skills don’t align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.
We use artificial intelligence (AI) technology — alongside human review — to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.
Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.
QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.