The Data Engineer is responsible for designing, building, and supporting scalable, secure, and high-performance analytics solutions on the Microsoft Fabric platform. This role combines strong technical depth with business acumen to translate evolving business needs into trusted data products.
The individual will play a key role in shaping and executing our clients modern BI and analytics strategy.
Roles and Responsibilities Partner closely with stakeholders to translate business requirements into Fabric-based data models, pipelines, and analytical solutions
Contribute to the end-to-end design and evolution of a scalable enterprise analytics architecture using Microsoft Fabric
Collaborate with Business SMEs and technical teams (Infrastructure, Security, Dynamics, external) to design and deliver sustainable, governed analytics solutions
Assist with preparation and facilitation of design workshops with documented outcomes (requirements, design, data models)
Ensure solutions are scalable, secure, cost-effective, and aligned with data & ai strategy
Design and develop high-performance data engineering components capable of processing large volumes of structured and semi-structured data
Build reusable, enterprise-grade data models (Lakehouse and semantic models) aligned with architectural standards and best practices
Contribute to administration, governance, and operational health of the Microsoft Fabric platform
Define and execute test strategies, including data validation, performance tuning, and data profiling
Monitor Fabric pipelines, data refreshes, and workloads, proactively troubleshoot and resolve issues
Own incident resolution and day-to-day sustainment of Fabric analytics solutions




Utilize Microsoft Analytics tools for seamless integration and efficient user interface development to enhance overall user experience
Optimize SQL, Spark, and DAX queries for performance and scalability
Mentor analytics, functional and business teams on Microsoft Fabric capabilities, patterns, and best practices
Contributes to work effort estimation for new and enhanced project opportunities
Solid hands-on experience as a Data Engineer on Microsoft Fabric and Azure platforms, including:
Fabric Lakehouse/Warehouse/Event House/ Materialized Lake view
Fabric Ingestion (Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy Job, Notebooks, EventStream, Spark Job Definition, Spark structure streaming)
Fabric Orchestration (Apache Airflow)
Experience with Azure analytics services, including:
Qualifications Bachelor's degree in information systems, Computer Science, Software Engineering, or equivalent experience
5+ years of hands-on experience delivering enterprise analytics and data engineering solutions on Microsoft platforms
Strong experience engineering solutions on Microsoft Fabric and up-to-date Azure analytics services, with understanding and working knowledge of other industry-standard analytics and data engineering tools.
Microsoft Azure / Fabric certifications
Robust foundation in:
Data ingestion and integration
Data transformation and orchestration
Data storage, data lakes, and lakehouse architecture
Data warehousing and dimensional modeling
Experience with CI/CD, DevOps, and source control (Azure DevOps, GitHub)
Understanding of administration, security, and governance for Microsoft analytics platforms
Experience with enterprise delivery methodologies (Agile/ Waterfall) and estimation practices
Robust understanding of Optimization techniques to improve ingestion process

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📌 Microsoft Fabric Data Engineer (Ontario)
🏢 BBI
📍 Ontario