Advanced Quality Assurance Specialist Budapest, Hungary
- Budapest
- Állandó
- Teljes munkaidő
- Young & supportive team - in a fast-growing international business environment
- Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs
- Hybrid working - 50% Office, 50 % Home Office with flexible working hours
- Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
- Medicover Spring White Package- from the first day of employment
- Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
- Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
- Live an active lifestyle – activate your AYCM pass
- Develop and execute test plans, test cases, and test scripts for data pipelines and analytics dashboards
- Define and monitor data quality KPIs to track improvements and spot recurring issues
- Validate ETL processes, data transformations, and metric calculations for correctness and consistency
- Identify data quality issues, document defects, and collaborate on resolution strategies
- Automate data validation workflows using Python, or SQL
- Maintain QA documentation and testing standards for reproducibility and continuous improvement
- Partner with analysts and stakeholders to understand business requirements and ensure data aligns with those needs
- Monitor performance and flag anomalies proactively
- Conduct root cause analysis for data discrepancies and recommend long-term fixes
- Advocate for QA best practices across the analytics lifecycle
- Completed university studies with a focus on Business & administration, data science, computer science, information management, statistics, mathematics, or equivalent
- Fluency in English
- 5+ years experience in QA within a data analytics or data engineering context
- Strong command of, at least one programming language (Python preferred)
- Familiarity with ETL tools and data visualization platforms (specifically Tableau)
- Understanding of data warehousing concepts and cloud platforms (specifically Azure, Unity Catalog)
- Excellent written and verbal communication skills