Microsoft Fabric data Engineer

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 Description

MS fabric Data Engineer Role

Overview of The Role

The 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 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)
  
• Ensuresolutions are scalable, secure, cost-effective, and aligned withdata& aistrategy
  
• 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
  
• Contributeto administration, governance, and operational health of the MicrosoftFabric platform
  
• Defineand execute test strategies, including data validation, performancetuning, and data profiling
  
• MonitorFabric pipelines, data refreshes, and workloads, proactively troubleshootand resolve issues
  
• Ownincident resolution and day-to-day sustainment of Fabric analyticssolutions
  
• 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
  
• Contributesto work effort estimation for new and enhancedprojectopportunities
  

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
  
• Communicatesclearly and collaborates effectively with cross-functional andgeographically distributed teams
  

Qualifications

• 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 modern Azureanalytics services, with understanding and working knowledge of otherindustry-standard analytics and data engineering tools.
  
• MicrosoftAzure / Fabric certifications
  
• Strongfoundationin:
  
• Dataingestion and integration
  
• Datatransformation and orchestration
  
• Datastorage, data lakes, andlakehousearchitecture
  
• Datawarehousing and dimensional modeling
  
• 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
  
• Abilitytooperateeffectively across complex, interdependentworkstreams, teams, and geographies
  
• Up-to-dateknowledge of industry trends and be