SiriusPoint
Who We Are
SiriusPoint is a global underwriter of insurance and reinsurance, providing solutions to clients and brokers worldwide. Headquartered in Bermuda with offices in New York, London, Stockholm, and other locations, we are listed on the New York Stock Exchange (SPNT). We hold licenses to write Property & Casualty and Accident & Health insurance and reinsurance globally. Our offerings are strengthened by strategic partnerships with Managing General Agents and Program Administrators. With approximately $2.7 billion in total capital, SiriusPoints operating companies have a financial strength rating of A- (Excellent) from AM Best, S&P, and Fitch, and A3 from Moodys.
Join Our Team
We are seeking a Data Engineer to support 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 is crucial for enabling data-driven decision-making across the organization. The successful candidate will collaborate with data architects, enterprise architects, infrastructure teams, and other cross-functional groups to build scalable data pipelines aligned with best practices in data management, change management, and integration. This is an exciting opportunity to work with cutting-edge technologies, solve complex challenges, and drive impactful insights that contribute to our company's success. The role reports to the Enterprise Data Hub Product Lead.
Your responsibilities will include:
Designing, building, and maintaining scalable data pipelines and ETL processes for the Enterprise Data Hub.
Implementing data ingestion, transformation, and storage solutions using AWS services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
Working with structured and unstructured data from various insurance systems (e.g., policy, claims, underwriting).
Collaborating with data architects, analysts, and business stakeholders to understand data requirements.
Working with enterprise architects to understand integration design patterns.
Aligning with infrastructure teams on code deployment and change management best practices.
Ensuring data quality, integrity, and governance across the data lifecycle.
Optimizing data workflows for performance, scalability, and cost-efficiency.
Supporting data cataloging and metadata management initiatives.
Implementing security and compliance best practices for sensitive insurance data.
Our Culture and Values
At SiriusPoint, we work as one team across our global business, united behind common goals. We aim to retain and attract talented individuals, providing 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 combined with talent, expertise, and data to deliver intelligent risk solutions. Our culture emphasizes performance and accountability, empowering our people to apply their expertise in a supportive, collaborative, and purposeful environment. Our core values are:
Integrity: Respect and trust are fundamental.
Customer Focused: Our clients are at the heart of everything we do.
Solution Driven: We create innovative solutions.
Diversity: Inclusion and allyship strengthen us.
Collaboration: Working together enhances our performance.
Your skills and abilities should include:
5+ years of experience in data engineering or related roles, preferably in insurance.
Hands-on experience with AWS data services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
Proficiency in SQL, Python, and data modeling.
Experience with ETL tools and frameworks.
Knowledge of insurance data domains (e.g., claims, policy, billing).
Understanding of data governance, lineage, and compliance (e.g., HIPAA, GDPR).
Experience with CI/CD and version control tools (e.g., Git, CodePipeline).
AWS or Solutions Architect certifications are preferred but not required.
Experience with data lakes and lakehouse architectures is a strong plus.
Exposure to BI tools (e.g., Power BI, Tableau, QuickSight) is preferred.
Bachelors or Masters degree in Computer Science, Data Engineering, or related field is a plus.
Excellent organizational, communication, and interpersonal skills.
Ability to work independently with limited oversight.
Strong problem-solving and project management skills, with the ability to prioritize and adapt in a fast-paced environment.
Ability to influence and collaborate effectively within a global organization.
Salary: The estimated range is $150,000 to $160,000 annually. Actual compensation will consider experience, location, and other factors.
Why Join SiriusPoint?
Our people are our strength. We empower our employees to apply their expertise in a supportive, collaborative, and purposeful environment. We value our core principlesIntegrity, Customer Focused, Solution Driven, Diversity, and Collaborationand strive to create a diverse, inclusive, and equitable workplace. We offer competitive benefits, including medical, dental, vision, HSA, 401(k), paid leave, flexible work arrangements, and more. Join us to make a meaningful impact and grow your career with SiriusPoint.
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