Senior Analytics Engineer

About QuadReal Property Group 

QuadReal Property Group is a global real estate investment, operating and development company headquartered in Vancouver, British Columbia. Its assets under management are $94 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities to invest in equity and debt in both the public and private markets. QuadReal invests directly, via programmatic partnerships and through operating platforms in which it holds an ownership interest.

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

Position Overview

QuadReal’s Enterprise Data & Analytics team is seeking an experienced Senior Analytics Engineer to drive enterprise reporting initiatives supporting business units by designing, implementing, and documenting data transformation pipelines and dimensional models using dbt. The role partners with BI Developers to deliver end-to-end data capabilities and mentors other analytics engineers (both internal and contractors). They work closely with Product Leads and stakeholders to translate business needs into engineering requirements.

The ideal candidate is someone who wants to build and improve data & insights that deliver business value and improve our engineering capabilities. This role combines technical leadership, stakeholder collaboration, and hands-on data expertise to ensure the successful delivery and adoption of high-impact data solutions.

This role can be based out of our Toronto or Vancouver office locations.

Key Responsibilities

Data Modeling & Transformation

• Serve as a data subject matter expert, bridging the gap between business needs and technical implementation.
• Design, implement, and maintain scalable, reusable data models and transformations (e.g., using dbt or similar tools), while establishing standards, testing procedures, and documentation practices.
• Collaborate with business and reporting teams to ensure data models meet analytical and operational requirements.

Pipeline Development

• Build and optimize robust pipelines (e.g., using Airflow or similar tools) to transform raw data into clean, trusted datasets.
• Work with data engineers to ensure ingestion pipelines integrate seamlessly with analytics layers.

Collaboration & Enablement

• Partner with Product Leads, BI developers, Data Modelers, and business stakeholders to document reporting/analytics needs.
• Mentor junior team members and contribute to the development of analytics engineering standards and best practices.
• Provide best practices and feedback to contractual engineers to ensure standards are being followed across the team and related projects.
• Support self-service analytics by enabling stakeholders to create their own queries while increasing data literacy through training and documentation.

Data Quality, Governance and Performance Optimization

• Establish data validation and testing of data models and data pipelines to ensure accuracy and reliability.
• Document data models, data definitions, lineage, and business logic to support transparency and trust.

• Tune queries, pipelines, and models for performance at scale across large, complex datasets.

Qualifications

• 5+ years of relevant analytics engineering or data engineering experience
• Bachelor's degree in technical field or equivalent experience
• Advanced SQL skills and data modeling expertise
• Strong Experience with dbt and implementing dimensional modeling
• Experience with CI/CD practices for data pipelines
• Experience with cloud data warehousing technologies (MS Fabric, Snowflake)
• Experience with workflow orchestration tools like Airflow/Prefect
• Proficiency with enabling data optimized for BI tools (Power BI, Tableau, Looker)
• Strong communication skills, including presenting to leadership
• Collaborative approach with cross-functional teams
• Strategic thinking and problem-solving abilities

The following would be considered an asset:

• Experience in real estate or financial service
• Experience with Microsoft Fabric
• Experience with Data Modelling tools
• Passion for data governance and quality
• Continuous learning mindset

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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.