Data Engineer – Enterprise Data Hub

Data Engineer – Enterprise Data Hub (Insurance Domain, AWS)

New York – Hybrid

Who We Are

SiriusPoint is a global underwriter of insurance and reinsurance providing solutions to clients and brokers around the world. Bermuda-headquartered with offices in New York, London, Stockholm and other locations, we are listed on the New York Stock Exchange (SPNT). We have licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Our offering and distribution capabilities are strengthened by a portfolio of strategic partnerships with Managing General Agents and Program Administrators. With approximately $2.7 billion total capital, SiriusPoint’s operating companies have a financial strength rating of A- (Excellent) from AM Best, S&P and Fitch, and A3 from Moody’s.

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Join Our Team  

You will be our Data Engineer supporting the development and maintenance of our Enterprise Data Hub within the insurance domain. The ideal candidate will have strong experience in AWS cloud services, data pipeline development, and insurance data models. This role will play a key part in enabling data-driven decision-making across the organization. The successful candidate will collaborate closely with data architects, enterprise architects, infrastructure, and other cross-functional teams to build data pipelines that are scalable and aligned to best practices for data management, change management, integration, and analysis This is an exciting opportunity to work on cutting-edge technologies, solve complex challenges, and drive impactful insights that fuel our company's success. The role reports to the Enterprise Data Hub Product Lead.

Your responsibilities will include:

• Design, build, and maintain scalable data pipelines and ETL processes for the Enterprise Data Hub.
• Implement data ingestion, transformation, and storage solutions using AWS services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
• Work with structured and unstructured data from various insurance systems (e.g., policy, claims, underwriting).
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
• Collaborate with enterprise architects to understand integration design patterns.
• Collaborate with infrastructure to align to best practices for code deployments and change management.
• Ensure data quality, integrity, and governance across the data lifecycle.
• Optimize data workflows for performance, scalability, and cost-efficiency.
• Support data cataloguing and metadata management initiatives.
• Implement security and compliance best practices for sensitive insurance data.

United behind common goals

At SiriusPoint we work as one team across our global business, and we unite that team behind common goals, understanding the positive impact we can all make at SiriusPoint. We aim to retain and attract great people, knowing they can achieve a rewarding and enriching career.

Our Purpose is to provide security and resilience in an uncertain world.

Our Vision is to be recognized as a best-in-class insurer and reinsurer utilizing deep risk capabilities to protect our customers. Blending our talent, expertise and data to provide intelligent risk solutions.

Our culture is one of performance and accountability. Our people are our experts and you will be empowered to apply your expertise in a supportive, collaborative and purposeful environment.

Our Values are at the heart of our business, and which guide every day actions and decision making.

• Integrity: Integrity, respect and trust are our core principles
• Customer Focused: Our customers are the reason we exist
• Solution Driven: Creating solutions is our mindset
• Diversity: Diversity, inclusion and allyship make us stronger
• Collaboration: Collaboration drives our performance
   

Your skills and abilities should include:

• 5+ years of