Quality Assurance Engineer – Data

• Define and implement QA processes, testing standards, quality controls, and release gates for Data and Business Intelligence solutions
• Design and execute test plans across ETL and ELT pipelines, Data Warehouse solutions, Power BI reports, and embedded reporting applications
• Validate data accuracy, completeness, consistency, transformation logic, and business rules across source systems, data pipelines, semantic models, and reporting layers
• Perform source-to-target validation, data reconciliation, integration testing, regression testing, and end-to-end testing
• Test Power BI reports, semantic models, DAX calculations, Power Query transformations, dashboards, and reporting functionality
• Validate complex KPIs, business metrics, calculations, aggregations, and reporting logic against business requirements and expected outcomes
• Validate Row-Level Security, customer data isolation, access controls, and other security-related functionality within embedded analytics solutions
• Investigate data-quality issues, perform root cause analysis, document defects, and collaborate with technical teams through resolution and validation
• Participate in requirements reviews, solution-design discussions, and data-model validation to identify quality risks early
• Create and maintain test plans, test cases, defect reports, testing procedures, QA metrics, and supporting quality documentation
• Partner with Data Engineers, Power BI Developers, and business stakeholders to improve data quality and release readiness
• Drive continuous improvement of QA practices and promote a quality-first approach across data and analytics development

• 5+ years of overall quality assurance experience across Software QA, Automation QA, Data QA, or other quality-focused roles, including 3+ years of experience in Data QA, ETL testing, Data Warehouse testing, or BI testing
• Demonstrated experience establishing QA processes, test strategies, testing standards, or quality-control practices
• Strong SQL skills, including developing complex queries for data validation, reconciliation, troubleshooting, and testing
• Experience testing ETL/ELT pipelines, data transformations, and integration processes
• Strong understanding of Data Warehouse concepts and dimensional modeling, including star and snowflake schemas
• Experience testing Power BI reports, semantic models, dashboards, DAX calculations, and related reporting functionality
• Experience testing Power BI Embedded or comparable customer-facing analytics solutions
• Strong understanding of data accuracy, completeness, consistency, business-rule validation, and source-to-target reconciliation
• Strong analytical, troubleshooting, documentation, and communication skills with excellent attention to detail
• Ability to collaborate effectively with Data Engineers, BI Developers, technical stakeholders, and business partners
• English proficiency at B2 level or higher
• Desirable: experience validating historical data models and Slowly Changing Dimensions (SCD)
• Desirable: experience with CI/CD pipelines and Azure DevOps
• Desirable: familiarity with data monitoring, data freshness validation, and ongoing data-quality controls
• Desirable: knowledge of Power BI REST APIs, report lineage, metadata validation, or related Power BI administration capabilities
• Desirable: experience with performance, scalability, access-control, or security testing of analytics solutions
• Desirable: experience working within Agile environments such as Scrum or Kanban
• Desirable: Microsoft Azure, Power BI, Data Engineering, Quality Assurance, or related technical certifications

• Competitive salary
• Comprehensive benefits
• Great perks
• Professional and career development opportunities
• Professional yet friendly work environment