Munich Re Automation Solutions Ltd, a division of Munich Re, is the global leader in the provision of easy-to use and powerful electronic new business and automated underwriting solutions that give life insurance companies the power to grow their business efficiently. The software suite helps make straight through processing (STP) and instant issue a reality for many leading insurers and banks around the world.Role Purpose:This is an excellent opportunity for a creative and innovative Data Engineer to join a leading insurance industry software provider as it continues to develop and expand its successful data analytics capability. As a data engineer, you will have the opportunity to be a primary contributor in defining and implementing the company's data analytics and product solutions and developing the broader analytics strategy.Key Responsibilities:• Use Power BI for reporting on Azure cloud data• Design and implement efficient datasets and semantic models using Power Query and DAX• Build performant, user-friendly reports following visual analytics best practices• Develop data pipelines on Azure using Databricks as the core data processing and transformation framework• Demonstrate strong Python and SQL skills for data manipulation, transformation, and orchestration• Work with PySpark and Spark SQL in Databricks Notebooks• Manage data storage and governance using Delta Lake and Unity Catalog• Orchestrate data workflows using Databricks Workflows• Design schemas and perform data modelling to create optimised data structures for specific use cases• Set up and utilise Azure services in a data processing context (e.g., Azure Functions, Azure Event Grid, Azure Storage, Azure Container Apps)• Apply Terraform for creating Azure resources using Infrastructure as Code (IaC)• Develop CI/CD pipelines for delivering regular data pipeline and dashboard updates to productionEducation:A 3rd level degree or above in relevant numerically based fieldCritical Experience:• 2/3 years' experience in a relevant role• Experience building data pipelines and PowerBI reports in an agile environment• Experience with some or all the following – Power BI, Relational Databases, Azure, Databricks, MLOps, SQL, ETL, Python• Understanding of predictive modelling, machine learning, statistical modelling, algorithms a plus• Excellent interpersonal and communication skills