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 Data Engineer be ready to bring new insights and broaden our experience-base in new technologies and the latest software and Data engineering trends. You will be working closely with our Product Teams to co-create, extend and maintain Data enabled services, from conceptual design to solution architecture to implementation and operation of Data Products platform.
We’re responsible for ingesting, transforming, enriching, and cleansing data to ensure it’s accurate, accessible, and actionable. Our work enables seamless operations for users and downstream systems and lays the foundation for cutting-edge analytics and AI solutions.
Responsibilities
Work with Data Products platform and with colleagues across Asset Management in the development of Data enabled products, aligned with our reference architecture and design principles
Be a trusted partner in the assessment and definition of requirements. Translate into design artifacts
Implement advanced use cases and build prototypes
Create and maintain automated test cases to build & maintain regression test suites
Establish and manage the solution documentation
Plan solution deployment and rollout, including risk & impact analysis for implementation
Ensure agreed agile collaboration principles are applied & improved across your squad
Support team members in their growth, contributing to an environment that cares for continuous learning and improvement
Requirements
You’re passionate about engineering and data practices, and you fully understand the value of ETL processes in delivering accurate, reliable, and accessible data. You have a solid technical foundation in data platforms such as Palantir Foundry and relational databases—ideally PostgreSQL.
You thrive in a strong engineering culture, enjoy working in multicultural teams, and actively support your teammates in reaching their full potential. You’re eager to share knowledge, contribute to team growth, and help elevate our agile maturity.
Essentials:
Strong understanding of data modelling, ETL processes and data warehousing concepts
Experience with Data frameworks (Pandas, PySpark)
Strong programming skills in Python
Experience with Palantir Foundry, Databricks or similar
Proficiency in English (written and spoken)
Live a continuous improvement mind-set
Entrepreneurial, team player with a can-do attitude
Good communication and presentation skills
Nice to Have Skills
Solid applied knowledge of Agile methods, frameworks, and tools
Experience with MSBI
Software architecture and understanding of tech stacks
DevSecOps practices