BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget.

We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. MS fabric Data Engineer Role The Data Engineeris responsible fordesigning,building, and supporting scalable, secure, and high‑performance analyticssolutions on the Microsoft Fabric platform. The individual will play a key role in shaping andexecutingourclientsmodern BI and analytics strategy.

Partnerclosely with stakeholders to translate business requirements intoFabric-based data models, pipelines, and analytical solutions Contributeto the end-to-end design and evolution of a scalable enterprise analyticsarchitecture using Microsoft Fabric Collaboratewith Business SMEs and technical teams (Infrastructure,Security,Dynamics, external) to design and deliver sustainable, governed analyticssolutions Assistwithpreparation and facilitation of design workshops with documented outcomes(requirements, design, data models) Designand develop high-performance data engineering components capable ofprocessing large volumes of structured and semi-structured data Buildreusable, enterprise-grade data models (Lakehouse and semantic models)aligned with architectural standards and best practices Defineand execute test strategies, including data validation, performancetuning, and data profiling MonitorFabric pipelines, data refreshes, and workloads, proactively troubleshootand resolve issues tilizeMicrosoft Analytics tools for seamless integration and efficient userinterface development to enhance overall user experience OptimizeSQL,Spark, and DAX queriesfor performance and scalability Mentoranalytics, functional and business teams on Microsoft Fabric capabilities,patterns,



and best practices Supervision Actsas an individual contributor andoperatesindependently whileensuring alignment with enterprise BI and analytics strategy Canoversee project and support activities such as troubleshooting,enhancements, capacity planning, upgrades, and migrations Bachelor’sdegree in information systems, Computer Science, Software Engineering, orequivalent experience ~5+years of hands‑on experience delivering enterprise analytics and dataengineering solutions on Microsoft platforms ~ Strongexperience engineering solutions on Microsoft Fabric and up-to-date Azureanalytics services, with understanding and working knowledge of otherindustry-standard analytics and data engineering tools. ~ Datastorage, data lakes, andlakehousearchitecture ~ Experiencewith CI/CD, DevOps, and source control (Azure DevOps, GitHub) ~ Understandingof administration, security, and governance for Microsoft analyticsplatforms ~ Experiencewith enterprise delivery methodologies(Agile/ Waterfall)andestimation practices ~ Robustunderstanding of Optimization techniques to improve ingestionprocess ~ Experiencein building real time solutions end to end ~ Experiencein ingesting data from SaaS, on-prem, PaaS,SharePointanddifferent file formats ~ Understandingofadvanced AI technologies likeML,Agentic AI. ~ Strongwritten and verbal communication skills, especially for technical designdocumentation ~ Up-to-dateknowledge of industry trends and best practices in data engineering andanalytics ~ Stronghands‑on experience as a Data Engineer on MicrosoftFabric and Azureplatforms, including: ~ FabricIngestion(Data Factory, Pipelines,Dataflow Gen1, Dataflow Gen2, CopyJob,Notebooks,EventStream,Spark JobDefinition,Spark structure streaming) ~ Developmentusing Python and Spark notebooks ~ Goodunderstanding of Power BI ~ Solidunderstanding of DevOps / GitHub for version control and CI/CD ~ Practicalunderstanding of Microsoft Fabric governance, security (One Lake Security,SQL security), and workload management #

📌 Microsoft Fabric data Engineer (Toronto)
🏢 Blackbuck Insights
📍 Toronto