About this role
- 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
Other facts
About INNIO
INNIO Group is a leading energy solution and service provider that empowers industries and communities to make sustainable energy work today. With its Jenbacher and Waukesha product brands and its AI-powered myplant digital platform, INNIO Group offers innovative solutions for the power generation and compression segments that help industries and communities generate and manage energy sustainably while navigating the fast-changing landscape of traditional and green energy sources. INNIO Group is individual in scope, but global in scale. With its flexible, scalable, and resilient energy solutions and services, INNIO Group enables its customers to manage the energy transition along the energy value chain wherever they are in their transition journey.
INNIO Group is headquartered in Jenbach (Austria), with other primary operations in Waukesha (Wisconsin, U.S.) and Welland (Ontario, Canada). Through a service network in more than 100 countries, a team of more than 4,000 experts provides life-cycle support to the more than 57,000 engines that INNIO Group has delivered globally.
INNIO Group's ESG strategy has been recognized and awarded by esteemed rating agencies such as Sustainalytics and EcoVadis. Additionally, the company’s near-term climate targets until 2030 have been validated by the Science Based Targets initiative (SBTi).
For more information, visit INNIO Group’s website at innio.com
Interested in working for us? Find out more here: careers.innio.com/en
Follow us on Instagram (innio.com/instagram), Facebook (innio.com/facebook), X (innio.com/twitter) and YouTube (innio.com/youtube).
Privacy Policy: https://www.innio.com/en/privacy
If you have any concerns, please contact us via [email protected]
What you'll do
- The QA Specialist is responsible for developing and executing test plans, test cases, and test scripts for data pipelines and analytics dashboards. They will also validate ETL processes and collaborate with stakeholders to ensure data quality and alignment with business needs.
Ready to join INNIO?
Take the next step in your career journey