Job Summary: We are seeking an experienced Data Engineer with strong expertise in Azure cloud services, Data Engineering practices, and DevOps automation, combined with a solid understanding of the Property & Casualty (P&C) Insurance domain. The ideal candidate will play a key role in designing, building, and optimizing data solutions to support underwriting, claims, and policy analytics initiatives. Key Responsibilities: + A solid understanding and preferably practical experience working with event driven architectures, especially those involving event streaming. Hands on experience with Azure Event Hubs is a big plus. + Design and develop data pipelines and ETL processes using Azure Data Factory, Databricks, and related Azure services. + Extensive professional experience working with serverless computing architectures specifically Azure functions. + Implement and maintain data models and data warehouses supporting P&C Insurance operations such as claims, policy, underwriting, and billing. + Collaborate with business stakeholders and product teams to translate insurance data requirements into technical solutions. + Utilize Azure DevOps for CI/CD automation, version control, and deployment of data solutions. + Exposure to DevOps methodologies with practical experience in Azure DevOps (ADO), including configuration of CI/CD pipelines, managing build releases, and automating deployments across development and production environments. + A solid understanding of the medallion architecture and underlying templatized pipelines for data estates would be good. + Ensure data quality, governance, and lineage across multiple data systems and reporting environments. + Work closely with data analysts, actuaries, and business teams to deliver insights and analytical solutions. + Develop scripts and automation to optimize data ingestion, transformation, and validation workflows. Required Skills & Experience: + 12+ years of experience in data engineering, data analytics, or related fields. + Strong knowledge of P&C Insurance processes (Claims, Policy Administration, Billing, Underwriting, etc.). + Hands-on experience with Azure Data Services: Azure Data Factory, Databricks, Synapse, ADLS, and Azure SQL DB. + Proficiency in DevOps tools – Azure DevOps, Git, CI/CD pipelines. + Strong skills in SQL, Python, and data modeling (dimensional, relational, or lakehouse). + Experience in building and maintaining data pipelines, data marts, and data lake architectures. + Familiarity with reporting tools such as Power BI or other visualization platforms is an advantage. + Excellent communication and problem-solving skills with the ability to work in an agile team environment.