Microsoft Fabric Data Engineer Jobs in Toronto, Ontario, Canada
Create alert for “Microsoft Fabric Data Engineer”
Toronto, Ontario, Canada
About the role
Overview of The Role
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
Technical qualifications
Strong 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) Data Engineering Languages (Py-Spark/Spark SQL /KQL) Experience with Azure analytics services, including: Azure Data Factory
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 modern Azure analytics services, with understanding and working knowledge of other industry-standard analytics and data engineering tools.
Microsoft Azure / Fabric certifications
Strong 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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About BBI
BBI is your one-stop shop for making AI work reliably at scale. Working alongside client teams, we build, modernize, and operate data foundations that ensure data and AI output are consistent, traceable, and production-ready across systems. Using AI-driven engineering methods and proven accelerators, we deliver fast, reduce risk, and give clients data they can trust.
Clients call on us when they face a stalled modernization, a fragile platform, a post-acquisition integration, or a mandate to support analytics and AI that current foundations can't support.
Clients stick with us because we take accountability for outcomes. We don't hand off and walk away. You get a team that stays engaged through the full lifecycle, from design through ongoing operation.
Our services include:
Data management services: BBI engineers reliable data pipelines, consistent transformations, and clear controls, ensuring data behaves predictably and can be trusted as systems scale and requirements change.
Data modernization services: BBI modernizes and scales data platforms and infrastructures, making data easier to access, easier to work with, and better aligned to analytics, automation, and AI initiatives.
AI and applications: We build AI solutions and business applications directly on top of your data foundation, turning trusted data into intelligent tools that power your business.
Platform operations and support services: BBI runs operations so your engineering teams don't have to. We monitor pipelines, respond to alerts before issues reach the business, and validate data quality before reports go out.
Our delivery accelerators, AI-assisted engineering, and proven frameworks have produced 65% faster delivery times and 70% fewer errors, without sacrificing quality or control.
Headquartered in Schaumburg, Illinois, we operate with more than 600 data professionals across the United States, Canada, and India.
Your data. Ready for anything.