Software Engineer II (R-20067)

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. Since 1841, 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 .

Our MDM team is seeking an experienced Quality Assurance Engineer, to join an established engineering team. You will work on our D&B Connect application, a strategic self-service Master Data Management (MDM) platform that enables customers to cleanse, match, enrich, monitor, and manage their first-party data using D&B's Commercial Graph and D-U-N-S®-anchored data assets. This serves as our primary MDM customer-facing platform, accessed via web UI plus CRM, Marketing and Cloud Data Warehouse integrations with future support for AI headless access via MCP tools.

The QA engineer will create and maintain tests to ensure software meets user and product needs. This includes developing test plans, tracking quality assurance metrics, documenting defects and supporting issue resolution and continuous process improvement.

The successful candidate should be data curious and have a track record of using AI tools to bring greater efficiency to the software testing lifecycle.

Design and evolve enterprise-grade Master Data Management (MDM) platforms powering core business entities (e.g., customers, suppliers, leads, reference data)

Solve challenges in data quality , identity resolution , integration , and governance at scale

Build highly available, resilient systems that support both real-time and batch workloads across global regions

Collaborate with product, data, and platform teams to transform business needs into scalable technical solutions

Partner with development and product teams to ensure product quality in a fast-paced Agile environment

Create and maintain test strategies, test plans, test cases, test data and traceability for new features and defect fixes

Write and maintain automated tests for data-validation workflows

Integrate and maintain automated test suites within CI/CD pipelines to support continuous testing, quality gates and release validation throughout the software delivery lifecycle

Perform manual functional, regression, integration, and exploratory testing when automation is not suitable

Validate multi-tiered, data-driven applications processing large volumes of records

Define and track quality metrics including defect counts, severity, test execution, coverage and release status

Identify, document, report, track and verify issues through to resolution

Perform root-cause analysis and collaborate on preventive quality improvements

Support product deployments, release validation and QA sign-off

Partner with support teams to reproduce and troubleshoot customer-reported issues

Proactively improve quality through collaboration, automation, process improvement and innovative thinking

Stay current with emerging AI technologies, tools, and best practices

Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent relevant experience

Typically 5-8 years of relevant experience, including 5+ years in software quality assurance or quality engineering

Experience designing and executing functional, integration, system, regression and UAT testing

Understanding of continuous integration, continuous delivery, quality gates, automated test reporting and release validation processes

Strong defect management, root-cause analysis and troubleshooting skills

Experience in manual testing across web, API, database and enterprise applications

Experience in test automation using Playwright, Selenium, Robot Framework or similar tools

Experience integrating automated test frameworks into CI/CD pipelines using GitHub Actions, Jenkins, Azure DevOps, GitLab CI/CD or similar platforms

Experience with JIRA, Zephyr, Azure DevOps or similar test management tools

Proficiency in Java, Python or C# for test automation and scripting

Experience in SQL and database validation, including complex queries and joins

Experience working in Agile/Scrum environments

Knowledge of API testing using Postman, REST Assured or equivalent tools

Demonstrated experience using AI tools such as Copilot, Cursor, Gemini, ChatGPT, or Claude to support test case generation, test automation, defect analysis, requirements reviews, CI/CD pipeline optimisation, and overall QA productivity improvements.

Excellent analytical, written and verbal communication, cross-functional collaboration and stakeholder management skills

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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