Data Engineer, Data Platform
quadreal · Toronto ·
- Employment
- Contract
- Category
- Data engineering
- Experience
- 2+ years
- Salary
- CAD 85,000 – 100,000 / year
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Build and maintain scalable data pipelines and APIs on Microsoft Fabric and Azure using Python, PySpark, dbt, and Airflow to power real-estate analytics and operations.
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.
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.
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.
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.#LI-KA2