About the Client
We are one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
About the Role
As a Lead Data Analytics Engineer you own high impact data and analytics solutions for the Property & Casualty (P&C) domain, working with modern bigdata technologies to turn complex data into actionable insights that support business decisions. You’ll be also acting as a technical lead and mentor, shaping best practices and supporting other engineers’ growth as their line manager.
The Specialty Analytics team delivers analytics for niche lines of business including Agriculture, Aviation, Credit & Surety, Cyber, Nuclear, and Political Violence. We are part of a global P&C data initiative and value ownership, collaboration, and leadership at all levels.
Responsibilities
Design and build end‑to‑end analytics solutions in Palantir Foundry
Scalable PySpark data pipelines
User‑facing web apps using Workshop and TypeScript
Act as technical lead on initiatives, translating business needs into robust designs
Improve architecture, performance, data quality, and developer experience
Mentor engineers through code reviews, design discussions, and knowledge sharing
Collaborate in a global, cross‑functional environment
Requirements
Senior level experience in data engineering or analytics
Strong proficiency in Python or PySpark
Solid understanding of data warehousing, ETL, and cloud data architecture
Comfortable leading by example and mentoring others
Strong problem‑solving and communication skills
Nice to Have Skills
Experience building applications with JavaScript or TypeScript
Palantir Foundry experience
Insurance or financial domain knowledge
Experience with Generative AI and/or Natural Language Processing