Data Quality Engineer, Data Reliability Platform

ClientOur client is a leading global professional education organization focused on advancing investment knowledge and credentialing standards.TeamYou will join a cross functional team of data engineers, analytics specialists, and quality experts. The team collaborates closely, communicates frequently, and works in an environment where data correctness and reliability are key priorities. Work is structured and iterative, with regular stakeholder interactions.Position overviewYou will work on a platform focused on improving data accuracy, trust, and reliability across analytical and operational environments. The project includes implementing monitoring rules, building automated validation workflows, and supporting data teams with insights that help maintain data quality at scale. The platform is actively evolving and provides space for ownership and continuous improvement.Technology stackMonte CarloSodaGreat ExpectationsSQLPythonCloud data platformsData pipeline architecturesMetadata and data governance toolingResponsibilitiesDesign and implement data quality monitoring rules using Monte Carlo, Soda, Great Expectations or equivalent toolsPerform data profiling to assess completeness, consistency, and accuracyCollaborate with data engineering and analytics teams to define data quality needsDevelop automated checks and alerts as part of data pipelinesSupport remediation workflows and participate in root cause analysisDocument rules, processes, and metrics supporting data quality governanceContribute to continuous improvement initiatives and propose enhancementsCommunicate findings and recommendations to technical and non technical stakeholdersRequirementsExperience working with data quality tools such as Monte Carlo, Soda, or Great ExpectationsHands on background in data profiling, validation, and monitoringExperience using SQL for analysis and data validation tasksFamiliarity with Python or similar scripting languages for automationUnderstanding of data pipeline principles and cloud data platformsKnowledge of data governance concepts and quality frameworksClear communication skills and the ability to collaborate in a distributed team