Quality Test Engineer

Job Description

Would you like to be part of a team that delivers high-quality software to our customers? Are you a visible champion with a ?can do? attitude and enthusiasm that inspires others? About The Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About The Team Our Database Architects work across multiple agile software engineering teams, supporting developers, testers, and product owners. You?ll be part of a collaborative environment where your contributions help shape the architecture and performance of our products. About The Role We?re seeking a collaborative and detail-oriented Quality Test Engineer to join our UK Data Engineering team. In this role, you?ll help ensure the accuracy, integrity, and reliability of data through thoughtful testing and validation. You?ll work closely with cross-functional teams to build robust data quality solutions that support our mission of delivering trusted insights. We welcome applicants from all backgrounds and experiences. If you?re passionate about data quality and enjoy solving problems, we?d love to hear from you?even if you don?t meet every requirement. Responsibilities Partner with data engineers, QA analysts, and product teams to define data quality goals and testing strategies. Design and build automated test frameworks for validating data transformations and pipeline integrity. Use Python or Java to support data analysis and test automation. Conduct functional, regression, and performance testing on data workflows and ETL processes. Ensure consistency and accuracy of data across various sources and formats. Investigate and resolve data quality issues, contributing to root cause analysis and long-term solutions. Maintain test datasets and support compliance with data governance and privacy standards. Document test plans, test cases, and results in a clear and accessible format. Requirement 5-8 years of experience in software testing, data engineering, or a related field. Proficiency in Python or Java for data analysis and automation. Familiarity with cloud platforms (e.g., Azure) is a plus. Strong understanding of SQL and experience with relational or NoSQL databases. Exposure to ETL tools and data pipeline frameworks. Experience with version control systems (e.g., Git) and CI/CD tools. Strong analytical and communication skills. Learn more about the LexisNexis Risk team and how we work