Data QA Lead

Are you an experienced Data Quality Assurance professional ready for your next challenge in a central data area? The Central Data Team at Betsson is now hiring! We are a dynamic international team committed to excellence and innovation in data management. If you are passionate about ensuring data accuracy, reliability, and integrity, and can handle mission-critical responsibilities, then this is the role for you!

The Wow

At Betsson, we are dedicated to delivering the best customer experiences in the iGaming industry. As a market leader, we offer online gaming products in multiple markets, driving innovation and excellence across our platforms. Join our passionate team as we build and maintain a cutting-edge, scalable data infrastructure supporting multiple brands and jurisdictions. Your work will directly impact users and contribute to our ongoing success in the competitive market.

A taster of what you will be involved with: 

• Design and develop automated data quality validation scripts using industry-standard tools and frameworks to ensure the accuracy, completeness, and reliability of data.
• Ensure that such standards are implemented throughout the platform through KPIs.
• Enhance and maintain our data quality automation framework using the latest trends, technologies, standards, and best practices to uphold the integrity of our data assets.
• Implement and optimize data quality automation frameworks for scalability, maintainability, and reusability across the organisation, including for data use for AI models.
• Define and monitor key data quality metrics through data profiling, and communicate performance to stakeholders.
• Being responsible for the definition, development and maintenance of data quality workflows, principles, and processes, as well as their documentation in terms of group-wide policies.
• Develop an in-depth understanding of our data products to identify and address weaknesses in data quality coverage.
• Research and implement improvements in tooling, CI/CD pipeline configuration, and release process automation for data quality assurance, including data integration/orchestration tools such as Apache NiFi and Apache Airflow.
• Collaborate closely with cross-functional teams, including data engineers, analysts, and product managers, to understand data requirements and define comprehensive test plans.
• 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.
• Directly contribute to our data infrastructure by implementing code changes to enhance data quality coverage, robustness, and time-to-market efficiency.
• Stay abreast of the latest industry trends, tools, and technologies related to data quality assurance and apply them to enhance our testing practices.
• Foster a proactive and collaborative approach to data quality assurance throughout the data development lifecycle, promoting a culture of excellence and innovation while providing a QA vision to the team.
• Help QA engineers and data engineers grow in the QA area through training plans, mentoring and information sessions.

What we are looking for

• 3+ years of experience in a similar role involving data quality assurance.
• 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.
• 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 to prioritise and remediate data quality issues.
• Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts
• Familiarity with data privacy regulations, including GDPR, and data security standards.
• Self-starter mindset, analytical approach, and positive "can-do" attitude.
• 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.
• 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.
• Experience in Python, Snowflake Horizon, and AWS SageMaker is considered a plus.
• Proficiency with issue tracking tools like JIRA and documentation platforms like Confluence.

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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