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Akkodis • Warsaw, Masovian Voivodeship, Poland
Role & seniority: Software Quality Engineer, mid-level (2–3 years QA experience with a focus on BI/reporting platforms)
Stack/tools: Power BI (reports, dashboards, DAX), SQL and relational databases/data warehouses, ELT/ETL concepts, data validation, test documentation, web-based data tools/APIs
Design and execute test plans for Power BI reports, dashboards, and data visualizations to ensure accuracy and usability
Validate data pipelines and ELT processes (transformations, load completeness, source-to-target mappings) and perform regression/integration/exploratory testing
Develop/maintain test documentation (test cases/scripts, data validation checklists), track defects, and collaborate with data engineers, report developers, and business analysts
2–3 years in software or data quality assurance, preferably BI/reporting
Proficiency in validating Power BI, DAX, and data visualizations
Strong SQL skills; experience with relational databases/data warehouses
Familiarity with ELT/ETL concepts, data lineage, and transformation logic
Excellent analytical, problem-solving, and communication abilities; ability to work independently and manage multiple testing efforts
Experience testing web-based data applications and APIs
Knowledge of data governance, privacy, and security considerations in testing
Exposure to test automation strategies
Location & work type: Warsaw, Pol
Location - Warsaw, Poland Type of work - Hybrid Contract - employment The Software Quality Engineer is responsible for ensuring the quality and integrity of data-driven applications, including Power BI reports, dashboards, web-based data tools, and ELT (Extract, Load, Transform) processes. This role involves designing and executing test strategies to validate data accuracy, visual consistency, and system performance across analytics platforms. The engineer works independently and collaborates closely with development and data engineering teams to drive quality throughout the analytics lifecycle.. Tasks Designs and executes test plans for Power BI reports, dashboards, and data visualizations to ensure accuracy, usability, and alignment with business requirements. Validates data pipelines and ELT processes by verifying data transformations, load completeness, and source-to-target mappings. Develops and maintains test documentation, including test cases, test scripts, and data validation checklists for analytics and web-based data applications. Collaborates with data engineers, report developers, and business analysts to understand data models, KPIs, and reporting logic. Performs regression, integration, and exploratory testing on analytics platforms and web-based data tools. Uses SQL and other data querying tools to validate data integrity across multiple databases and environments. Identifies, logs, and tracks defects related to data quality, report rendering, and performance issues. Participates in Agile ceremonies, project planning sessions, and stakeholder reviews to align testing efforts with delivery timelines. Recommends improvements to reporting standards, data validation frameworks, and test automation strategies. Ensures compliance with data governance, privacy, and security standards during testing activities. Requirements 2–3 years of experience in software or data quality assurance, preferably with a focus on BI/reporting platforms. Proficiency in validating Power BI reports, DAX expressions, and data visualizations. Strong SQL skills and experience working with relational databases and data warehouses. Familiarity with ELT/ETL tools and concepts, including data lineage and transformation logic. Experience testing web-based data applications and APIs is a plus. Excellent analytical, problem-solving, and communication skills. Ability to work independently and manage multiple testing efforts simultaneously.