Senior Microsoft FabricPower 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.