GamblingCareers.com

QA engineer (manual) in live sports data

In short

This role tests live sports data systems for a company gathering and delivering live data across 30+ sports, within the Live Data Services team. It combines manual QA with product thinking — reviewing user stories, testing APIs and data integrations, and validating sports/betting business rules. It requires strong API testing, SQL, and structured data validation skills, scripting ability in Java or Python, familiarity with AI/LLM tools for testing, and 3+ years of QA experience in complex product teams. Based onsite in Warsaw.

About the Role
The Live Data Services team is the heart of our live data ecosystem, gathering, validating, processing, and delivering live sports data for more than 30 sports to customers worldwide. We are looking for a Product-Minded QA Engineer.
Responsibilities
•Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories. You ensure the team understands what needs to be delivered and where potential risks may exist.
•Get involved in the design phase. You challenge assumptions, identify gaps, and help prevent issues before development begins.
•Act as a quality champion within the team, helping stakeholders understand risks from both technical and business perspectives.
•Use modern tools, including AI and LLMs, to improve efficiency, generate test assets, analyze data, and automate repetitive activities where it creates value.
•Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes to identify issues and validate expected behavior.
•Ensure sports, betting, and customer-facing business rules behave correctly across different sports, competitions, and products.
•Act as the gatekeeper for quality. Validate that new features meet both technical expectations and customer needs before release.
Requirements
•Strong experience with API testing, structured data validation, and SQL.
•Comfortable reading existing code and creating simple scripts or utilities using Java, Python, and modern AI-powered development tools.
•Experience using AI tools (LLMs, Copilot, AI assistants) to improve testing, analysis, and productivity.
•Ability to analyze complex workflows, integrations, and data flows to identify root causes and quality issues.
•3+ years of experience: proven history of driving quality practices within complex product teams.
•Product mindset: you care about user experience, business logic, and customer impact, not just passing test cases.
•Strong interest in sports and willingness to develop expertise across a broad portfolio of sports.
•Proactive: you don't wait for detailed instructions; you ask questions, challenge assumptions, and help define the path forward.
•Clear communicator: you can explain technical risks, findings, and business impacts to both technical and non-technical stakeholders.
Nice to Have
•Knowledge of sports rules, competitions, statistics, and event structures is highly valued.
•Experience with sports betting, odds, trading, sportsbook operations, or related products is a strong advantage.
Conditions
•The opportunity to work and develop within an inspiring and fast-growing company.
•Flat organization with high degree of individual responsibility.
•A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US).
•Very good social and physical working environment.
•A company culture that promotes social aspects, sports, physical exercise, and fun.
•Competitive salary and benefits.

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