Senior Data Engineer

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!