QA Engineer

Posted 6 Hours Ago
Be an Early Applicant
Warsaw, Warszawa, Mazowieckie, POL
In-Office
Mid level
Digital Media • Information Technology • Sports • Analytics
The Role
Drive end-to-end product quality for live sports data: partner with product and engineering to define testable requirements, shift-left design reviews, perform API and data validation, build automation and AI-assisted testing assets, execute exploratory and structured tests, validate sports and betting business rules, and gate releases to ensure accurate real-time delivery.
Summary Generated by Built In
Company Description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

ABOUT US:

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.

You will be a key contributor to the platform that powers one of the industry's largest sports data ecosystems. Our team manages the end-to-end flow of live sports data, from collection through scouts and automated integrations, to validation, processing, and real-time delivery to bookmakers, media partners, and other customers around the globe.

THE CHALLENGE:

We are looking for a Product-Minded QA Engineer.

We need someone who looks beyond just "testing code" and takes ownership of the entire quality lifecycle. You will work side-by-side with Product Managers to refine requirements before development starts ("Shift Left"). You are also a creator who uses modern tools (AI, Copilot, and LLMs) to improve team efficiency, build smart quality solutions, and ensure our platform delivers accurate, reliable, and high-quality sports data.

Because we operate in a highly complex sports and betting environment, we are looking for someone who is curious about sports, understands how competitions work, and appreciates the impact that data quality has on real-time sports data consumers.

Key Responsibilities:

  • Requirement Ownership: 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.
  • Shift Left: Get involved in the design phase. You challenge assumptions, identify gaps, and help prevent issues before development begins.
  • Quality Advocacy: Act as a quality champion within the team, helping stakeholders understand risks from both technical and business perspectives.
  • Smart Automation (Creator Mindset): Use modern tools, including AI and LLMs, to improve efficiency, generate test assets, analyze data, and automate repetitive activities where it creates value.
  • Testing Execution: Perform exploratory and structured testing across APIs, integrations, internal tools, workflows, and business processes to identify issues and validate expected behavior.
  • Domain Validation: Ensure sports, betting, and customer-facing business rules behave correctly across different sports, competitions, and products.
  • Release Quality: Act as the gatekeeper for quality. Validate that new features meet both technical expectations and customer needs before release.

Our Toolkit:

  • API & Data: Strong experience with API testing, structured data validation, and SQL.
  • Basic Development Skills: Comfortable reading existing code and creating simple scripts or utilities using Java, Python, and modern AI-powered development tools.
  • Modern Tech: Experience using AI tools (LLMs, Copilot, AI assistants) to improve testing, analysis, and productivity.
  • Investigation & Troubleshooting: Ability to analyze complex workflows, integrations, and data flows to identify root causes and quality issues.

ABOUT YOU:

  • 3+ Years 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.
  • Sports Knowledge: Strong interest in sports and willingness to develop expertise across a broad portfolio of sports. Knowledge of sports rules, competitions, statistics, and event structures is highly valued.
  • Betting Domain Awareness: Experience with sports betting, odds, trading, sportsbook operations, or related products is a strong advantage. You are comfortable navigating complex business logic and understanding how data impacts customers.
  • 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.

OUR OFFER:

  • 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.

OUR RECRUITMENT PROCESS:

  • Initial Screening: A brief conversation with our Talent Acquisition Partner to review your background, experience, motivation, and expectations.
  • Product & Domain Interview: A 60-minute discussion focused on product thinking, quality ownership, sports domain understanding, and how you approach business-critical testing challenges.
  • Technical Interview: An in-depth technical discussion covering QA fundamentals, API testing, SQL, test design, risk assessment, problem-solving, and practical quality-related scenarios.
  • Cultural Fit Interview (30 minutes): A conversation with Senior Management to assess your ability to work in a matrix organization, collaborate with stakeholders, and thrive in a fast-paced international environment.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

Skills Required

  • 3+ years experience driving quality practices within product teams
  • Strong experience with API testing
  • Structured data validation and SQL proficiency
  • Ability to read code and create simple scripts/utilities using Java and Python
  • Experience using AI tools (LLMs, Copilot, AI assistants) to improve testing and productivity
  • Product mindset and experience turning business ideas into clear, testable user stories
  • Curiosity about sports and willingness to develop expertise across many sports
  • Experience or awareness of sports betting, odds, trading, or sportsbook operations
  • Strong communication skills and ability to convey technical risks to non-technical stakeholders
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: St. Gall
4,882 Employees
Year Founded: 2001

What We Do

Sportradar is a leading global sports technology company creating immersive experiences for sports fans and bettors, positioned at the intersection of the sports, media, and betting industries.

Similar Jobs

Sportradar Logo Sportradar

Quality Assurance Engineer

Information Technology • Sports
In-Office
Warsaw, Warszawa, Mazowieckie, POL
2300 Employees

ScholarshipOwl Logo ScholarshipOwl

Quality Assurance Engineer

Artificial Intelligence • Consumer Web • Edtech • Fintech
In-Office or Remote
32 Locations
36 Employees

ScholarshipOwl Logo ScholarshipOwl

Quality Assurance Engineer

Artificial Intelligence • Consumer Web • Edtech • Fintech
In-Office or Remote
32 Locations
36 Employees
In-Office
Warsaw, Warszawa, Mazowieckie, POL
405 Employees

Similar Companies Hiring

Milestone Systems Thumbnail
Artificial Intelligence • Security • Software • Analytics • Big Data Analytics
Lake Oswego, OR
1500 Employees
NODA AI Thumbnail
Artificial Intelligence • Information Technology • Software • Cybersecurity
Sydney, AU
54 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account