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. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.Job DescriptionMS fabric Data Engineer RoleOverview of The RoleThe Data Engineeris responsible fordesigning,building, and supporting scalable, secure, and high‑performance analyticssolutions on the Microsoft Fabric platform. This role combines strong technicaldepth with business acumen to translate evolving business needs into trusteddata products.The individual will play a key role in shaping andexecutingourclientsmodern BI and analytics strategy.HowYou Will Make Contributions That Matter:Partnerclosely with stakeholders to translate business requirements intoFabric-based data models, pipelines, and analytical solutionsContributeto the end-to-end design and evolution of a scalable enterprise analyticsarchitecture using Microsoft FabricCollaboratewith Business SMEs and technical teams (Infrastructure,Security,Dynamics, external) to design and deliver sustainable, governed analyticssolutionsAssistwithpreparation and facilitation of design workshops with documented outcomes(requirements, design, data models)Ensuresolutions are scalable, secure, cost-effective, and aligned withdata& aistrategyDesignand develop high-performance data engineering components capable ofprocessing large volumes of structured and semi-structured dataBuildreusable, enterprise-grade data models (Lakehouse and semantic models)aligned with architectural standards and best practicesContributeto administration, governance,



and operational health of the MicrosoftFabric platformDefineand execute test strategies, including data validation, performancetuning, and data profilingMonitorFabric pipelines, data refreshes, and workloads, proactively troubleshootand resolve issuesOwnincident resolution and day-to-day sustainment of Fabric analyticssolutionstilizeMicrosoft Analytics tools for seamless integration and effective userinterface development to enhance overall user experienceOptimizeSQL,Spark, and DAX queriesfor performance and scalabilityMentoranalytics, functional and business teams on Microsoft Fabric capabilities,patterns, and best practicesContributesto work effort estimation for new and enhancedprojectopportunitiesSupervisionActsas an individual contributor andoperatesindependently whileensuring alignment with enterprise BI and analytics strategyCanoversee project and support activities such as troubleshooting,enhancements, capacity planning, upgrades, and migrationsCommunicatesclearly and collaborates effectively with cross-functional andgeographically distributed teamsQualificationsBachelor’sdegree in information systems, Computer Science, Software Engineering, orequivalent experience5+years of hands‑on experience delivering enterprise analytics and dataengineering solutions on Microsoft platformsStrongexperience engineering solutions on Microsoft Fabric and modern Azureanalytics services,



with understanding and working knowledge of otherindustry-standard analytics and data engineering tools.MicrosoftAzure / Fabric certificationsStrongfoundationin:Dataingestion and integrationDatatransformation and orchestrationDatastorage, data lakes, andlakehousearchitectureDatawarehousing and dimensional modelingExperiencewith CI/CD, DevOps, and source control (Azure DevOps, GitHub)Understandingof administration, security, and governance for Microsoft analyticsplatformsExperiencewith enterprise delivery methodologies(Agile/ Waterfall)andestimation practicesRobustunderstanding of Optimization techniques to improve ingestionprocessExperiencein building real time solutions end to endExperiencein ingesting data from SaaS, on-prem, PaaS,SharePointanddifferent file formatsUnderstandingofadvanced AI technologies likeML,Agentic AI.Strongwritten and verbal communication skills, especially for technical designdocumentationAbilitytooperateeffectively across complex, interdependentworkstreams, teams, and geographiesUp-to-dateknowledge of industry trends and best practices in data engineering andanalyticsStronghands‑on experience as a Data Engineer on MicrosoftFabric and Azureplatforms, including:FabricLakehouse/Warehouse/EventHouse/MaterializedLakeviewFabricIngestion(Data Factory, Pipelines,Dataflow Gen1, Dataflow Gen2, CopyJob,Notebooks,EventStream,Spark JobDefinition,Spark structure streaming)FabricOrchestration(ApacheAirflow)Experiencewith Azure analytics services, including:AzureDatabricks (where applicable)Developmentusing Python and Spark notebooksAdvancedSQL skills for analytical workloadsGoodunderstanding of Power BIWorkspace,security, and capacity managementSolidunderstanding of DevOps / GitHub for version control and CI/CDPracticalunderstanding of Microsoft Fabric governance, security (One Lake Security,SQL security), and workload management#J-18808-Ljbffr

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