What you will do

As a Senior QA Engineer, you will be responsible for ensuring the quality, reliability, and performance of Data Hubs and data processing pipelines in Azure & Databricks. You will develop automated test frameworks, conduct regression testing, and validate large-scale data processing workflows.

How you will get the job done

• designing, developing, and maintaining automated test frameworks for data processing and orchestration
• conducting regression, performance, and scalability testing for data ingestion and transformation
• implementing data quality validation and anomaly detection in Azure-based data pipelines
• collaborating with Data Engineers and DevOps teams to integrate testing into CI/CD pipelines
• ensuring compliance with data security, governance, and privacy standards
• defining test strategies, best practices, and documentation for Data & AI solutions

What we offer

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

Requirements

• strong expertise in Python, PySpark, SQL, and test automation frameworks
• experience with Azure Data Services (Databricks, Data Factory, Storage Accounts)
• proficiency in testing big data pipelines, distributed systems, and ETL workflows
• hands-on experience with CI/CD tools (Azure DevOps, Jenkins) and test automation
• strong understanding of data governance, quality frameworks, and monitoring tools
• excellent problem-solving skills and ability to work in Agile/Scrum environments

Nice to have

• experience with ML model validation and AI pipeline testing
• familiarity with data lineage tracking and metadata management tools