Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry. Click here for more information about Fortitude Re.
The Data Quality Engineer is a mid-level technical role within the Data Governance team, responsible for designing, building, and maintaining automated data quality frameworks. The role partners closely with data engineers, actuaries, and business analysts to embed quality controls across the data lifecycle, from ingestion through to reporting, ensuring that risk, claims, and treaty data meet the accuracy and completeness standards required for regulatory compliance and sound decision-making.
The position reports to the VP, Data Governance.
What You Will Do:
Design, develop, and maintain automated data quality checks, validation rules, and exception-handling pipelines using Python.
Implement and maintain data quality frameworks aligned with DAMA-DMBOK and internal governance standards.
Develop and implement data quality metrics, scorecards, and dashboards to track completeness, accuracy, consistency, timeliness, and validity across reinsurance datasets.
Build and maintain data quality monitoring pipelines that integrate with existing data infrastructure (e.g., data lake, data warehouse, ETL/ELT workflows).
Collaborate with data stewards, data owners, and business stakeholders to define acceptable quality thresholds and remediation workflows.
Investigate root causes of data quality issues across investment data, treaty data, claims data, and exposure datasets; document findings and drive resolution.
Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes.
Maintain comprehensive documentation of quality rules, lineage, and remediation outcomes within the data governance catalog.
Support internal and external audits by providing data quality evidence and lineage reports.
What You Will Have:
3–6 years of experience in a data quality, data engineering, or analytics engineering role.
Experience in reinsurance, insurance, or financial services preferred.
Hands-on experience with SQL and working in cloud-based data environments.
Experience with cloud platforms such as AWS, Azure, or GCP preferred.
Strong proficiency in Python for data processing, quality rule development, and pipeline automation (e.g., pandas, Great Expectations, polars) preferred.
Familiarity with data governance principles and frameworks (DAMA-DMBOK, DCAM, or equivalent).
Experience working within structured data environments in financial services, insurance, or reinsurance.
Takes ownership of quality outcomes and delivers solutions end-to-end under limited supervision; identifies gaps before they become issues.
Strong analytical and problem-solving skills with a meticulous attention to detail.
Ability to communicate technical data quality concepts clearly to non-technical business stakeholders.
Understanding of data controls supporting audit, compliance, and reporting requirements preferred.
The base salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package.
At Fortitude Re, our strength has always come from our people. Our success is deeply rooted in our ability to embrace the unique attributes, perspectives and experiences of every individual within our company. Fostering a culture of inclusion and belonging where everyone—regardless of background, race, religion, sexual orientation or gender identity—feels valued and respected is a foundation of our culture.
We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law.
To all recruitment agencies: Unless you have been requested to work on this position, or other positions with Fortitude Re, please do not forward any resumes to Fortitude Re employees. Fortitude Re is not responsible for any fees related to unsolicited resumes.
Check us out on YouTube: About Fortitude Re (youtube.com)
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Skills Required
- 3-6 years of experience in a data quality, data engineering, or analytics engineering role
- Hands-on experience with SQL
- Experience with cloud platforms such as AWS, Azure, or GCP
- Strong proficiency in Python for data processing
- Familiarity with data governance principles and frameworks
What We Do
Born as an innovative system integrator in 2009, Databiz evolves in 2018 into a holding company (Databiz Group), in order to scale fast and face the evolving market scenario. 2021 is a milestone year: Databiz Group transforms into Fortitude Group, aggregating innovative competences and methodologies to address the contemporary digital transformation challenges. This rename and rebrand represents a significant step in the company’s evolution, redefining the Group’s identity, driving change and shaping the future of the entire ICT landscape. The Group includes: - Bitrock - Radicalbit - ProActivity
