QA Engineer - Data Platforms (Databricks)

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search QA Engineer - Data Platforms (Databricks) Brussels, Brussels Capital Apply now Save job Posted 07/06/2026 Job reference 14058 Experience level Experienced Hire Job category Engineering & Technology Line of business Data Estate At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies5+ years of experience in Software Quality Assurance, Data Quality Engineering, or testing enterprise-scale data platformsHands-on experience validating data solutions built on Databricks, including workflows, notebooks, jobs, and Delta LakeStrong proficiency in SQL, Python, and PySpark with experience developing automated testing and data validation frameworksExperience testing large-scale batch data pipelines, data transformations, reconciliation processes, and source-to-target integrationsStrong understanding of data quality principles, including completeness, accuracy, consistency, timeliness, and business rule validationExperience with Agile delivery methodologies and test management tools such as Jira and XrayExcellent analytical, problem-solving, communication, and stakeholder management skillsDemonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to leverage AI-powered solutions to improve testing effectiveness while maintaining awareness of responsible and ethical AI practicesEducationBachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical disciplineRelevant testing, cloud, or data engineering certifications are preferredResponsibilitiesEnsure the quality, accuracy, and reliability of enterprise data platforms and batch processing pipelines built on Databricks.Own end-to-end validation of data pipelines across Bronze, Silver, and Gold data layers to ensure data integrity and business rule complianceDesign, develop, and maintain scalable automated testing frameworks using Python and PySpark to improve efficiency, coverage, and reliabilityValidate data transformations, schema changes, reconciliation processes, and source-to-target mappings across complex datasetsExecute integration, regression, end-to-end, and data quality testing for data products, workflows, and scheduled processing jobsDefine and maintain testing strategies, test cases, test data, execution results, and release validation...