Data Platform & BI Lead

Data Platform & BI Lead

This is a senior position within the Applied Technology Team, responsible for overseeing the organisation’s data platform, reporting strategy, and business intelligence delivery. This role combines hands-on expertise in Azure SQL and Microsoft Fabric with leadership of a team delivering scalable, high-quality reporting and analytics solutions.

​Description

​Our client’s Applied Technology Group (ATG) supports the organisation’s software development, AI, and data management capabilities. Their strategy focuses on building cloud-native, distributed applications and scalable data solutions using Microsoft’s Platform-as-a-Service technologies.

Our client is looking for an experienced Data Platform & BI Lead to drive the delivery of reporting and analytics solutions across the organisation. This role will partner closely with business stakeholders to shape reporting strategy, define requirements, and ensure the effective operation of Azure SQL, Microsoft Fabric, and Power BI platforms, enabling high-quality, data-driven decision-making.

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Key Responsibilities

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• Lead, mentor, and manage a team of Power BI and Power Platform developers, including task allocation and performance oversight.
  

• Ensure all development work is effectively scoped, prioritised, monitored, and delivered on time and to a high standard.
  

• Own the reporting and analytics function, partnering with stakeholders to gather requirements and define KPIs aligned to business objectives.
  

• Oversee the design, development, and maintenance of Power BI reports, dashboards, and semantic data models.
  

• Develop and optimise SQL queries, stored procedures, and database objects within Azure SQL and SQL Server environments.
  

• Manage the administration of Azure SQL databases, including performance tuning, security, access control, and troubleshooting.
  

• Design, develop, and support solutions within Microsoft Fabric, including Lakehouses and Notebooks.
  

• Support and enhance ETL processes and broader data integration workflows.
  

• Identify and drive improvements in reporting capability, data quality, and platform performance.
  

• Establish and maintain documentation, standards, and knowledge-sharing practices across the data platform and reporting ecosystem.
  

• Explore and promote the use of data and AI to enhance reporting, automate processes, and unlock greater organisational insight.
  

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