Data Platform Engineer - Azure & Fabric

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

Benefits offered by this job

Performance-based incentive plan

Comprehensive health & dental benefits

Pension plan

Paid time off

Job summary

QuadReal Property Group is seeking a Data Platform Engineer to contribute to building, scaling, and optimizing the Enterprise Data Platform on Microsoft Fabric and Azure. The role is hands-on, centered on Python-based pipelines, APIs, and integrations, with emphasis on software engineering discipline in data projects.

Ideal candidates will have a software development background transitioning into data, strong Python and SQL skills, and experience with Airflow, PySpark, Docker, and dbt.

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.

Responsibilities

• 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.

Skills

Python

SQL

Microsoft Fabric

Azure

dbt

Apache Airflow

PySpark

Docker

Terraform

Terragrunt

Git

Azure DevOps

Purview

Education

Bachelor’s degree in computer science or related field

Tools

dbt

Apache Airflow

PySpark

Docker

Microsoft Fabric

Azure data services

Job description

QuadReal Property Group is seeking a Data Platform Engineer to contribute to building, scaling, and optimizing the Enterprise Data Platform on Microsoft Fabric and Azure. The role is hands-on, centered on Python-based pipelines, APIs, and integrations, with emphasis on software engineering discipline in data projects.

Ideal candidates will have a software development background transitioning into data, strong Python and SQL skills, and experience with Airflow, PySpark, Docker, and dbt.