Key skills
Microsoft FabricSQLETL/ELTDAXPythonBI reporting toolsData modelingData governanceHealthcare backgroundFluent EnglishETLELTBIDatabricksAzureSaaS
About this role
Auditdata is a company focused on providing actionable insights through BI solutions. As a BI Engineer, you will design and build reporting solutions, ensuring data quality and collaborating with various stakeholders to deliver reliable BI solutions.
Responsibilities:
- Design and develop customer-facing reports and dashboards, with a focus on clarity, performance, and clinical relevance
- Build and maintain analytical data models on Microsoft Fabric (lakehouse/warehouse), including star schemas, KPI definitions, and DAX measures
- Collaborate with product managers and domain experts to translate complex business requirements into reliable BI solutions
- Own data quality — define expectations, detect anomalies, and work with upstream teams to resolve issues at the source
- Develop and maintain ETL/ELT pipelines integrating data from multiple sources (SQL databases, APIs, SaaS platforms)
- Write Python scripts where automation or data transformation logic benefits from a programmatic approach
- Document models, definitions, and design decisions in a way that makes your work maintainable and auditable
- Stay current with the BI tooling and Microsoft Fabric release cycle and evaluate new capabilities for adoption
Requirements:
- 3+ years delivering BI and analytical solutions in production environments
- Strong SQL skills — data modelling, query optimisation, and working across relational engines
- Hands-on experience with BI reporting tools — report authoring, data model design, calculations, and performance tuning
- Solid ETL/ELT foundations — experience integrating data from multiple heterogeneous sources
- Fluent English, written and spoken — you can explain a data model to a non-technical stakeholder
- BSc or higher in Computer Science, or a related field
- Experience with Microsoft Fabric (lakehouses, Fabric pipelines, OneLake) or Azure Databricks
- Python scripting for data transformation, automation, or analytical workflows
- Familiarity with legacy Microsoft BI stack (SSAS, SSIS, SSRS) — useful context, not a requirement
- Experience with data governance frameworks or tools
- Background in healthcare, medtech, or other regulated industry data environments