Data QA Engineer

A taster of what you will be involved with:

• Develop and maintain data quality monitoring frameworks using the latest trends, technologies, standards, and best practices to uphold the integrity of our data assets.
• Generate insightful reports, and support Data Stewards in validation and quality assurance.
• Design and develop automated data quality validation scripts using industry-standard tools and frameworks to ensure the accuracy, completeness, and reliability of data.
• Define and monitor key data quality metrics through data profiling and communicate performance to stakeholders.
• Develop an in-depth understanding of our data products to identify and address weaknesses in data quality coverage.
• Conduct root cause analysis of data quality issues and work closely with the data engineering team and data stewards to resolve discrepancies, provide detailed feedback, and drive continuous improvement.
• This role will have to interact with multiple stakeholders across the Group, including tech teams for implementation aspects and product or business owners to gather requirements.

What we are looking for:

• Bachelors Degree in Computer Science or related field
• 2+ years of experience in the field of data quality, with a focus on data quality implementation and monitoring.
• Experience in defining and implementing data quality controls.
• Strong understanding of data quality methodologies, standards, best practices, and techniques for comprehensive data coverage.
• Passion for data quality and development to ensure the best possible experience for our users.
• Excellent analytical and problem-solving skills, with the ability to troubleshoot and debug complex data issues.
• Familiarity with data privacy regulations, including GDPR, and data security standards.
• Experience in the iGaming industry is considered a plus.
• Degree or equivalent certification in a related field is considered a plus.
• ISTQB qualification is considered a plus.
• Strong experience in SQL and Python.
• Experience with Selenium or similar testing tool.
• Familiarity with Data Integration tools such as Apache NiFi and orchestration tools such as Apache Airflow.
• Experience with data quality and data governance tools and methodologies, including data validation and profiling.
• Proficiency with documentation platforms like Confluence.
• Effective communication skills, both verbal and written, with the ability to clearly document and communicate data quality results and issues.
• Excellent collaboration skills, with the ability to work cross-functionally with business, tech, and data engineering teams, and lead working groups.
• Self-starter mindset, analytical approach, and positive “can-do” attitude.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

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