Are you passionate about transforming complex insurance data into valuable insights? Join our Underwriting Data and Analytics team where you'll leverage cutting-edge technologies to build scalable data solutions that drive strategic underwriting decisions and business growth. This is your chance to apply your extensive PySpark and TypeScript expertise in an environment that values innovation and technical excellence.

About the Role

As a Data Engineer, you'll be at the forefront of our data transformation journey, architecting and implementing robust data pipelines that power critical underwriting analytics. You'll collaborate with cross-functional teams to deliver high-quality data products while maintaining the highest standards of data governance and engineering excellence.

Key Responsibilities

• Design and build robust, scalable data pipelines (batch and streaming) that transform complex insurance data into actionable insights

• Engineer and maintain analytics-ready data products with clear contracts and comprehensive documentation

• Ensure high data quality, observability,



lineage, and reliability across all data pipelines

• Own end-to-end delivery of data engineering initiatives from design through production implementation

• Break down complex requirements into executable technical plans and deliver against aggressive timelines

• Proactively identify and resolve bottlenecks, technical debt, and operational risks before they impact business operations

• Establish and enforce engineering standards including coding practices, testing protocols, CI/CD pipelines, and data modeling approaches

• Drive reusability and simplification across the data ecosystem to reduce fragmentation and technical debt

• Collaborate with analytics, data science, underwriting, and business teams to translate needs into scalable solutions

• Communicate effectively on trade-offs, timelines, and risks to technical and non-technical stakeholders

• Provide technical guidanc

📌 Data Engineer (Bengaluru)
🏢 Swiss Re
📍 Bengaluru