In this role you will be responsible for designing, developing, and maintaining enterprise-scale reporting, analytics, and data engineering solutions across Microsoft’s data platform.
You will be a hands-on, technical professional who can work closely with business stakeholders, data teams, and leadership to deliver high-quality, scalable, and reliable analytics solutions while meeting tight deadlines.
What you'll do:
Power BI Development
Design, develop, and maintain enterprise-grade Power BI reports, dashboards, and semantic models.
Build scalable and reusable data models using best practices for performance, security, and maintainability.
Develop advanced DAX calculations, measures, KPIs, and analytical solutions.
Implement Row-Level Security (RLS) and governance standards across reporting solutions.
Optimise report performance and troubleshoot complex Power BI issues.
Data Engineering & ETL Development
Design and develop robust ETL/ELT solutions using Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
Create and maintain data pipelines to ingest, transform, and load data from multiple source systems.
Develop scalable data warehouse, lakehouse and data mart solutions.
Ensure data quality, integrity, and consistency across analytical platforms.
Monitor and optimise pipeline performance, reliability, and cost efficiency.
Microsoft Fabric & Platform Modernisation
Support and lead migration initiatives from legacy BI and data platforms into Microsoft Fabric.
Design and implement Fabric architecture, including Lakehouse, Data Warehouse, Dataflows, Pipelines, and Semantic Models.
Contribute to platform governance, security, and best practices.
Evaluate new Fabric capabilities and identify opportunities for business value.
Stakeholder Management & Delivery
Engage with business stakeholders to understand requirements and translate them into technical solutions.
Manage competing priorities across multiple projects and business functions.
Provide regular updates to stakeholders and leadership on project progress, risks, and dependencies.
Work effectively under tight deadlines while maintaining a high standard of delivery.
Mentor junior developers and promote best practices across the team.
Governance & Best Practice
Establish and maintain BI and data engineering standards.
Implement CI/CD, version control, and deployment processes where appropriate.
Promote best practices in Power BI development, ETL design, data modelling, and analytics delivery.
Support documentation, knowledge sharing, and continuous improvement initiatives.
What you'll bring:
Minimum 5 years' experience in Power BI development and data engineering roles.
Strong experience designing and developing Power BI dashboards, reports, and semantic models.
Advanced knowledge of: Power BI,DAX, Power Query (M), SQL, Data Modelling
Proven experience with: Azure Data Factory (ADF), Azure Synapse Analytics. ETL/ELT development, Data Warehousing concepts
Experience working with Microsoft Fabric.
Strong understanding of data governance, security, and performance optimisation.
Experience managing business stakeholders and gathering requirements.
Demonstrated ability to manage competing priorities and deliver under tight deadlines.
Strong analytical, problem-solving, and communication skills.
Experience working within Agile delivery environments.
Desirable
Experience leading or supporting migrations to Microsoft Fabric.
Experience with Lakehouse architecture and modern data platforms.
Knowledge of DevOps, CI/CD, and source control practices.
Experience with Azure Data Lake Storage (ADLS).
Experience implementing enterprise reporting governance frameworks.
Microsoft certifications in Power BI, Azure Data Engineering, or Fabric.