Execute manual testing of data pipelines, dashboards, and SQL queries for validation
Design and maintain automated test cases for data pipeline validation using SQL and Python
Test data transformations from ingestion through model layers (dbt, Snowflake)
Test visual displays and analytical offerings (Power BI at read/test level)
Collaborate with data engineers and analysts to define test plans and acceptance criteria
Contribute to test documentation and QA processes and maintain test artifacts
Identify, report, and triage data issues, anomalies, and inconsistencies proactively
Work within Agile sprints and participate in story grooming, planning, and retrospectives
Use Git-based workflows and debug or read Airflow as needed
Requirements
2+ years of experience in QA with strong background in manual testing
At least 1+ years working on data-centric or analytics projects
Proficiency in SQL for querying and validating large datasets
Exposure to Python or similar languages for test automation (plus)
Experience validating ETL/ELT workflows or dashboards
Familiarity with dbt and Snowflake
Experience with Power BI (read/test level)
Familiarity with Airflow (read/debug level)
Familiarity with test case management tools or BDD frameworks
Experience with JIRA, Xray, and Git-based workflows
Exceptional attention to detail and strong analytical/problem-solving skills
Comfortable working in Agile sprints and cross-functional teams
Must be authorized to work in the job posting location (no visa sponsorship)
Role is subject to mandatory background screening and regulatory approvals (may require criminal background check, fingerprints, and gaming licenses/registrations)
Benefits
Hybrid work arrangement (Warsaw, Krakow)
Professional development and career pathways
People-first mindset prioritising safety and wellbeing
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