Data Engineer, Data Platform

QuadReal Property Group; Toronto; On-site; CAD 85,000 - 100,000; Full time

Benefits offered by this job

Health & dental benefits

Pension plan

Paid time off

Job summary

QuadReal Property Group seeks a data platform engineer to help build and scale our Enterprise Data Platform on Microsoft Fabric and Azure. You will implement robust pipelines, APIs, and data integrations with Python, dbt, and PySpark.

Join a hands-on team focused on scalable, secure, production-ready solutions and collaboration with governance, IT, and business stakeholders.

Qualifications

• 2–4 years in data engineering or similar roles, with a software background moving into data.
• Strong Python; production-grade code for pipelines, APIs, and data transformations.
• Solid SQL for complex querying and data manipulation.
• Experience with Microsoft Fabric (Lakehouses/Warehouses) and Azure data services.
• Experience with Apache Airflow and PySpark; Docker familiarity; dbt exposure.
• CI/CD and IaC familiarity (Azure DevOps, Terraform/Terragrunt) preferred.

Responsibilities

• Develop, test, and deploy robust data pipelines and APIs using Python, Airflow, and PySpark.
• Build and maintain Microsoft Fabric Lakehouses, Warehouses, and workspaces.
• Collaborate with Data Governance, IT, and business teams for reliable solutions.
• Implement data quality, governance, and release practices with containerized workloads.

Skills

Python

SQL

Apache Airflow

PySpark

Docker

dbt

Azure

Microsoft Fabric

Education

Bachelor's degree in Computer Science / Engineering / IS / BT Management or related field

Tools

Terraform / Terragrunt

Azure DevOps

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

Role Description

Reporting to the Team Lead, Data Platform, this role will contribute to building, scaling, and optimizing our Enterprise Data Platform on Microsoft Fabric and Azure. This is a hands‑on engineering role for someone who thrives in code, designing and delivering high‑quality data pipelines, APIs, and integrations using modern Python‑based tools. We are especially interested in engineers who come from a software development background and have since moved into the data space, bringing strong software engineering discipline (clean code, testing, version control, and automation) to how data pipelines are built and operated. You will collaborate with Data Governance, IT, and business teams to ensure our solutions are scalable, maintainable, secure, and trusted. Alongside development, you will help apply and improve platform standards, share what you learn with the team, and work closely with stakeholders to deliver reliable, production‑ready solutions.

Responsibilities

• Engineering & Development: Develop, test, and deploy robust, maintainable data pipelines and APIs using Python, dbt, Apache Airflow, and PySpark.
• Build and maintain Microsoft Fabric Lakehouses, Warehouses, and workspaces within the enterprise data platform.
• Build and optimize large‑scale, distributed data processing workflows on Microsoft Fabric and Azure.
• Package and deploy data workloads using Docker, following the team’s reproducible release practices.
• Implement data quality, validation, observability, and lineage controls to meet enterprise governance and compliance requirements.

Design & Standards

• Contribute to the technical design of platform components and take part in the architecture discussions that shape how the team builds.
• Apply and help strengthen the team’s engineering standards: testing patterns, reusable frameworks, and code review practices, with clean, readable Python as the baseline.
• Build governance and security into what you deliver, using Microsoft Purview for classification, tagging, and access control.

Collaboration & Growth

• Work closely with Data Governance, Data Solutions, Advanced Analytics, and IT Security teams to ensure business alignment.
• Take an active part in code reviews and pairing, both giving and acting on feedback to raise the team's overall bar.
• Contribute to a culture of continuous learning, experimentation, and knowledge sharing.

Experience and Qualifications

• Bachelor’s degree in computer science, Engineering, Information Systems, Business Technology Management, or a related field.
• 2 to 4 years of experience in the data field (data engineering or similar roles), ideally with a background in software development that has since transitioned into data.
• Strong Python skills: comfortable writing clean, efficient, production‑grade code for pipelines, APIs, and data transformations.
• (Required) Solid proficiency in SQL for complex querying and data manipulation.
• (Required) Working knowledge of Microsoft Fabric (Lakehouses, Warehouses, and workspaces) and Microsoft Azure data services.
• Experience with workflow orchestration using Apache Airflow.
• Experience building data processing workloads with PySpark.
• Familiarity with containerizing workloads using Docker.
• Exposure to building data transformations with dbt.
• Familiarity with modern data architectures (data lakehouse, data mesh, warehousing best practices).
• Strong communication and collaboration skills, with a willingness to learn from and support teammates.
• Experience integrating pipelines with governance tools (Microsoft Purview) is preferred.
• Knowledge of CI/CD workflows using Azure DevOps and Git is preferred.
• Experience using Infrastructure as Code (IaC) with Terraform / Terragrunt to automate provisioning of cloud data environments and platform components, ideally in Azure, is an asset.
• This job posting is for an existing vacancy within our organization.

Salary and Benefits

The expected annualized base salary range for this role is $85,000 – $100,000.

• Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off.

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.

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.

For 10 years, QuadReal has created spaces that enhance the lives of the people and communities we serve. Headquartered in Vancouver, Canada, we are a leading global real estate partner focused on driving meaningful impact while delivering prudent growth. With a global perspective and local expertise collected from offices across Canada, the US, Asia and the UK, our success stems from our incredible team and from our values— integrity, collaboration, performance, innovation and responsibility.

Join our team today to deepen your skillset, grow your career, and make a difference. Together, we’re reimagining an industry and building a culture where ingenuity meets community building.