BSc in Computer Science, IT, Engineering, or equivalent
Preferred certifications:
DP-203 (Azure Data Engineer Associate)
DP-600 (Fabric Analytics Engineer Associate)
DP-700 (Fabric Data Engineer Associate)
Requirements:
5+ years' experience in Azure Data Services: Synapse, Data Factory, Databricks, SQL, etc.
Proven hands-on experience with Microsoft Fabric: Pipelines, Lakehouse, Warehouse, Semantic Models
Strong T-SQL, PySpark, and Spark SQL skills
Deep understanding of ETL/ELT, data governance, and security best practices
Familiarity with CI/CD tools (Azure DevOps, GitHub, Power BI Deployment Pipelines)
Strong track record in designing Star Schema-based data models
Experience using Power BI Premium/Embedded
Experience leading and scaling data teams
KPA's:
Lead the design and implementation of scalable Microsoft Fabric data pipelines
Architect the data warehouse and ensure high-quality, secure data flows
Manage data ingestion, transformation, and integration processes
Develop and optimize semantic models and Power BI dashboards
Partner with stakeholders to translate analytics needs into technical solutions
Mentor and grow a data team, starting with an existing analyst
Maintain documentation, testing, and alignment with business requirements
Own infrastructure performance, governance, and data reliability
Bonus Points For:
Experience with AI/ML models or predictive analytics
Background in financial services, regulatory reporting, or sales optimisation
What's in it for you:
Strategic leadership role with ownership of end-to-end data initiatives
Work with cutting-edge Azure & Fabric technologies
Be part of a collaborative, innovative team with executive support
Competitive salary, hybrid work, and growth opportunities
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