Azure Data Engineer

Build and maintain Azure/Microsoft Fabric data pipelines, design scalable data models, and implement Lakehouse-based architectures for insurance datasets. Optimize pipeline performance, reliability, cost, and storage, and apply data governance and security controls. Collaborate with stakeholders to deliver robust solutions and support platform monitoring and troubleshooting.

Requirements

• 7+ years of experience in data architecture, data engineering, or analytics platform design
• Strong hands-on experience of at least 5 years with Azure services
• Deep understanding of P&C insurance data domains (policy, claims, underwriting, actuarial, billing)
• Expertise in data modeling (dimensional, canonical, semantic models)
• Strong knowledge of data governance, metadata management, and data quality practices
• Proficiency with SQL, Python, and modern data engineering frameworks
• Excellent communication and stakeholder management skills
• Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse
• Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse)
• Certifications such as Azure Data Engineer
• Prior experience in P&C insurance data modernization programs