Data & AI Analytics Engineer
Summary
A data, AI & analytics engineer designs and builds a governed data platform on Microsoft Fabric, Power BI and Azure for a managed IT services provider, starting with a healthcare transformation program — covering pipelines, ETL/ELT, dashboards, governance, and applied AI/Copilot use cases.
Reporting to: CIO / Head of Digital Transformation
About the Company
The Company is a leading Managed Services Provider delivering ICT, cloud, infrastructure and cybersecurity solutions across Healthcare, Education, Professional Services, Government and other enterprise environments. As part of continued growth and a major digital transformation program, the Company is expanding its capabilities across data engineering, analytics and AI.
About the Role
The Company is seeking a Data, AI & Analytics Engineer to design and build a modern data and analytics environment using Microsoft Fabric, Power BI and Azure.
Initially, you will support a major healthcare transformation program, establishing a standalone and governed data platform while modernising reporting and analytics. This is more than a traditional Power BI role you'll work across data engineering, integration, analytics, governance and applied AI.
Key Responsibilities
- Design and build data platforms using Microsoft Fabric, including pipelines, lakehouses and warehouses.
- Develop enterprise Power BI dashboards, semantic models, KPIs and reporting solutions.
- Build ETL/ELT processes to integrate data from multiple operational and corporate systems.
- Support data migration, transformation, reconciliation and reporting transition activities.
- Establish strong data quality, governance, lineage and access controls.
- Identify and develop practical AI/ML and Microsoft Copilot use cases.
- Integrate data across APIs, databases, SaaS platforms and enterprise applications.
- Work with business leaders to translate operational requirements into scalable data solutions.
Requirements
- 5+ years' experience across data engineering, analytics or business intelligence.
- Strong hands-on experience with Microsoft Fabric and Power BI.
- Advanced SQL, DAX, Power Query and ETL/ELT skills.
- Experience with Azure data and cloud technologies.
- Strong understanding of data modelling, integration and governance.
- Understanding of Generative AI, LLMs and enterprise AI applications.
- Experience working on data migration or digital transformation projects.
- Strong stakeholder engagement and communication skills.
- DP-600, Python/PySpark, Dataverse, Purview and Copilot experience highly desirable.
- Healthcare experience is advantageous but not essential.
