About the job Only apply if you have Insurance background We are looking for a Senior Data Engineer to spearhead the migration of underwriting data from various systems into a robust Azure Cloud Lakehouse. This is a hands-on role, leveraging Azure Synapse Analytics and PySpark, where you'll play a key part in delivering transformative data engineering solutions. About the Role As a Senior Data Engineer, you will: Lead the migration of underwriting data from multiple systems into an Azure Cloud Lakehouse environment. Utilise PySpark within Azure Synapse Analytics to develop scalable data pipelines and processing frameworks. Design and implement robust data engineering solutions, creating a single version of truth for data analytics and reporting. Develop self-service reporting capabilities using Power BI, enabling business users to access actionable insights. Establish and uphold global standards for data engineering design and delivery within the Microsoft ecosystem. Key Responsibilities Build, optimise, and maintain data pipelines in Azure Synapse. Collaborate with cross-functional teams to ensure seamless integration and transformation of underwriting data. Lead the creation of intuitive Power BI reports and dashboards, selecting visualisations that support decision-making. Drive the adoption of a data-driven culture across the organisation, enabling data accessibility for all users. Required Skills & Experience Extensive experience with the Microsoft tech stack, particularly Azure Synapse Analytics, Data Factory, and Databricks. Strong programming skills in PySpark, SQL, and familiarity with DAX. Proven track record of leading data migration projects, ideally within a lakehouse environment. Experience with data visualisation and report development using Power BI. Excellent communication, stakeholder management, and problem-solving skills. Please apply!