Senior Microsoft Fabric/Power BI Engineer

Experience:5+ Years

Key Responsibilities

· Design and build scalable data solutions using Microsoft Fabric, including Lakehouse, Warehouse and OneLake capabilities.

· Develop and maintain data ingestion, transformation and orchestration pipelines using Fabric Data Factory and related services.

· Build robust dimensional and analytical data models that support enterprise reporting and self-service analytics.

· Develop and optimise Power BI semantic models, reports and dashboards using DAX and Power Query.

· Improve performance, reliability and maintainability across Fabric and Power BI workloads.

· Implement appropriate security, Row-Level Security (RLS), access controls and data governance practices.

· Support CI/CD, deployment pipelines, source control and environment promotion for data and BI assets.

· Work with business stakeholders and analysts to translate reporting and analytics requirements into sustainable technical solutions.

· Troubleshoot complex data, model, refresh and performance issues across the Microsoft data stack.

· Collaborate with architects, engineers and delivery leads to align solutions with the broader data-platform direction.

· Produce clear technical documentation and support knowledge transfer to team members.

Required Skills & Experience

· 5+ years of data engineering / BI experience with strong recent hands-on Microsoft Fabric and Power BI capability.

· Strong Microsoft Fabric experience across Lakehouse, Warehouse, OneLake, Data Factory/Pipelines and semantic models.

· Advanced Power BI development experience including DAX, Power Query, data modelling and performance optimisation.

· Strong SQL skills and practical experience with data transformation and dimensional modelling.

· Experience designing and operating enterprise-grade data pipelines and analytics solutions.

· Understanding of Microsoft Azure data services and integration patterns.

· Experience implementing security, governance, RLS and controlled access to analytical data.

· Working knowledge of Git, CI/CD and deployment practices for data and BI solutions.

· Ability to work independently on complex engineering tasks while collaborating effectively with business and technical stakeholders.

Desirable Experience

· Microsoft Fabric or Power BI certification.

· Experience with Fabric migrations or modernisation from legacy data platforms.

· Experience with Azure Data Factory, ADLS, Synapse, Databricks or Snowflake.

· Experience with medallion architecture and modern lakehouse design patterns.

· Experience working with enterprise data governance, lineage, monitoring and cost optimisation.

· Experience in construction, property or operational analytics environments.

Expected Outcomes

· Accelerated delivery of immediate Fabric and Power BI backlog.

· Reliable, performant and maintainable data pipelines and analytical models.

· Improved quality, governance and scalability of  Microsoft data and analytics environment.

· Effective knowledge transfer and close collaboration with Data, AI, Integration & Automation team.