Quality Engineer

Data integrity is crucial to our operations and decision-making processes. The Data Quality Engineer is a vital resource in ensuring that our data is accurate, complete, and reliable. The ideal candidate for this role is a proactive individual who takes ownership of quality assurance initiatives and delivers high-standard data validation solutions. The primary responsibilities include validating data from various sources, ensuring accuracy through comprehensive testing, and identifying patterns and outliers within datasets. Data Quality Engineers play a significant role in maintaining the trustworthiness of data assets across the organization.

The Data Quality Engineer will contribute to building and executing Chubb's information strategy within Personal Risk Services. This individual will collaborate with key stakeholders, data engineers, data analysts, and report developers to ensure that high-quality data is consistently delivered. The role provides a unique opportunity to work with Chubb data and gain insights into the Personal Insurance domain, focusing on data quality and integrity.

Validate data from source to target by performing thorough checks and assessing consistency across datasets.

Develop and execute automated tests to confirm data accuracy and detect anomalies, ensuring that data quality standards are met.

Analyze and document data quality issues and trends, providing recommendations for remediation and improvement.

Collaborate with data analysts and engineers to define data mappings, transformations, and rules for data quality verification.

Review data processing workflows and implement quality controls to ensure only high-quality data is utilized in business operations.