AutomationEngineer,DataQuality

## Description Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role:   The Data Quality Automation Engineer is responsible for automating and scaling existing Data Quality Insights processes across D&B’s global platforms and products. This role focuses on transforming manual, rule-based, and analyst-driven workflows into reliable, repeatable, and observable automated solutions. The engineer partners closely with Data Quality Insights leadership, product teams, and data engineering to improve the consistency, timeliness, and accuracy of how data quality is measured, monitored, and reported across the enterprise. ## Key Responsibilities Design, build, and maintain automation solutions that replace or augment existing manual data quality processes. Translate existing data quality rules, checks, and validation logic into scalable, automated, production-ready pipelines and services. Automate recurring Data Quality Insights workflows such as: Accuracy and completeness measurement Rule execution and exception handling Monitoring, alerting, and reporting Partner with Data Quality Insights leadership to ensure automated solutions preserve business intent and data meaning. Employ advanced data analysis and profiling techniques to support automation and monitoring efforts. Automate data quality monitoring solutions and internal processes to improve scale and reliability. Implement and enhance a robust data validation framework with automated testing processes. Create or update data models to ensure data is