Lead Data QA Engineer - FanDuel, Hybrid & Remote

Lead Data QA Engineer - FanDuel, Hybrid & Remote

About Betfair Romania Development​:

Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming,

Our Values:

The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.

Win together | Raise the bar | Got your back | Own it | Positive impact

About the brand:

FanDuel is a leading force in the sports-tech entertainment industry, redefining how fans engage with their favourite sports, teams, and leagues. As the premier gaming destination in North America, FanDuel operates across multiple verticals, including sports betting, daily fantasy sports, online gaming, advance-deposit wagering, and media. 

We are seeking a Lead Data QA Engineer to join FanDuel, where your role will be instrumental in establishing our Data QA practice. The ideal candidate will have extensive expertise in data quality design, testing best practices, and delivery, while also being skilled in developing strategic roadmaps, articulating value and impact, and building high-performing teams to drive the company's success.

Key accountabilities:

Automation & Performance Capability

• Work with product managers and data engineering leads to create best in class testing strategies.
• Lead the development of automation frameworks to maintain or enhance our delivery pipeline capabilities in collaboration with other QA engineers.
• Collaborate with Data Engineering teams to maintain the automation strategies agreed upon.
• Design and maintain current automation statistics and QA reports to ensure updated visibility on the status.
• Create automation roadmaps to improve delivery efficiency and reduce manual testing needs, enabling a leaner delivery process.
• Provide tooling recommendations to engineering teams to enhance efficiency and quality.
• Improve the monitoring system regarding Automation tests to ensure flawless performance.
• Develop and enforce data quality standards and policies to ensure consistency and reliability across the organization.
• Support and provide guidance to the data QA engineering team in terms of standard methodologies, best practices and innovative approaches.
• Maintain regular code reviews to ensure quality and consistency.
• Proactively tackle challenges related to automation and implement effective solutions.
• Take ownership of the testing strategy for the data organization, ensuring world-class performance standards.

Leadership:

• Lead a team of data quality engineers, promoting a culture of collaboration and excellence to achieve high-performance outcomes.
• Design and implement an organization-wide data quality framework to improve data integrity and reliability, influencing changes in governance, quality metrics, processes, data tools, and architecture.
• Create and enforce robust data quality standards and policies to maintain consistency and reliability throughout the organization.

Key requirements:

Behavioural Competencies

• Collaborative, supportive teammate, and teammate with a focus on delivery.
• Influential; able to inspire and motivate others to follow your lead.
• Willing to adapt, mentor, and share knowledge within and across workstreams.
• Supportive and nurturing, fostering the development of other QA members.

Technical Competencies

• Proven experience and knowledge in designing, developing, and executing test plans for ETL processes, data pipelines, and data warehousing solutions.
• Strong knowledge of testing data transformations, integrations and migrations.
• Understanding of data lineage audits.
• Experience of database technologies like Oracle, MySQL, MS SQL, Redshift, Databricks or other.
• Experience defining KPIs/measurements and designing data quality dashboards and reports.
• Experience of Agile software development practices.
• Proficient in using monitoring tools like Datadog and Monte Carlo.
• Good knowledge of Terraform for infrastructure as code.
• Experience with implementing CI/CD processes.
• Experience with AWS services and containerization (e.g., Docker, API Gateway, Lambda, Step Functions).
• Experience with test automation frameworks.
• Understanding of data privacy and security best practices.
• Strong knowledge of Python and SQL.

Key experience & qualifications

• 7+ years of software delivery experience, demonstrating a track record of success.
• Demonstrated experience in leading and influencing testers to achieve exceptional results.