Data Engineer - Enterprise Data Hub

Sirius International Insurance Group • New York, NY

95d • $150,000 - $160,000

About The Position

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. 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.

Requirements

• 5+ years of experience in data engineering or related roles, preferably in the insurance industry.
• Strong hands-on experience with AWS data services (e.g., Glue, Redshift, S3, Athena, Lambda, EMR).
• Proficiency in SQL, Python, and data modelling.
• Experience with ETL tools and frameworks.
• Familiarity with 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 not required but preferred.
• Experience with data lakes and lakehouse architectures is a strong plus.
• Exposure to BI tools (e.g., Power BI, Tableau, QuickSight) is preferred.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field is a strong plus.
• Excellent organizational, communication, and interpersonal skills.
• Ability to work individually with limited oversight.
• Ability to prioritize, multi-task, and maintain flexibility in a fast-paced, changing environment.
• Demonstrated ability to influence and work effectively within a global organization with employees at all levels.
• Motivated, team-oriented, with strong problem-solving and project management skills.

Nice To Haves

• AWS or Solutions Architect certifications.
• Experience with data lakes and lakehouse architectures.
• Exposure to BI tools (e.g., Power BI, Tableau, QuickSight).
• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.

Responsibilities

• 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.

Benefits

• Medical
• Dental
• Vision
• FSA Medical and Dependent care
• Health Savings Account (HSA)
• EAP
• Basic Life and AD&D (company paid)
• Basic Long-Term Disability (employer) paid-Taxable income
• Employee paid Long Term Disability(voluntary)
• Company Medical Leave, Parental leave- 8 weeks full pay after 6 months of service
• Voluntary benefits: short term disability, Critical illness, Hospital Indemnity, Accident
• Travel assistance programs Company paid
• 401(k) 6 % safe harbor match, fully vested after two years, pre- and post-tax contributions allowed
• Gym reimbursement
• Legal plan
• Pet Insurance
• Tuition reimbursement
• Generous PTO
• Flexible work arrangement
• Fully stacked pantry on-site
• Team outings
• ERG Groups

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees