Engineering Lead

Engineering Lead

Join us in shaping the future of one of the world's leading reinsurance companies! As an Engineering Lead at Swiss Re, you'll be at the forefront of our transformation into a service and software-driven organization, combining your technical expertise with leadership skills to drive innovation and excellence in our core business applications.

About the Role

In this dynamic position, you'll blend hands-on engineering with technical leadership, guiding development teams while collaborating closely with architects to implement technology standards and best practices. You'll have the opportunity to directly impact our digital transformation journey, creating solutions that power our global reinsurance business.

Key Responsibilities

• Develop and lead one or more technical teams implementing core business applications

• Create and maintain a best-in-class developer experience for your teams

• Guide and mentor teams across multiple technology stacks including Palantir Foundry and Power BI

• Identify and address technical pain points, collaborating with the architecture team on solutions

• Drive continuous improvement of our standard technology stack to increase efficiency in business application delivery

About the Team

Our global Reinsurance Technology team is responsible for the technical architecture and engineering of Claims and Operational Analytics for the P&C reinsurance D&T business unit. We collaborate closely with colleagues around the globe to share knowledge and develop applications and services, maintaining strong connections with our business partners.

About You

You're a passionate technologist with a problem-solving mindset who thrives on creating business impact through innovative solutions. You combine technical excellence with leadership abilities, enabling you to guide teams while staying hands-on with development work. Your collaborative approach and continuous learning mindset make you an ideal fit for our evolving technology landscape.

We are looking for candidates who meet these requirements:

• Bachelor's degree or equivalent in Computer Science, Data Science or similar discipline

• Minimum 10 years of experience implementing data analytics solutions

• Proficiency in Python/PySpark for building and optimizing complex data pipelines

• Strong SQL skills (particularly Spark SQL) for data querying and manipulation

• Extensive knowledge of data warehousing concepts and ELT techniques

• Experience with Scrum and Agile development methodologies

• Demonstrated leadership skills to manage and guide technical product development teams

These are additional nice to haves:

• Knowledge of NodeJS and major UI frameworks (Angular, React, Svelte, etc.)

• Understanding of insurance/reinsurance business concepts

• Experience with Microsoft Power BI stack

• Background in Machine Learning or Generative AI applications

• Strong analytical and structured problem-solving abilities

• Collaborative mindset with ability to incorporate diverse ideas and perspectives

Our company has a hybrid work model where the expectation is that you will be in the office at least three days per week