Risk and Integrity Data Engineer

Job Description We are looking for a Risk and Integrity Data Engineer to strengthen game protection and risk monitoring. The role focuses on building efficient, cost-effective solutions, defining tool requirements, and ensuring smooth collaboration across stakeholders. Your Responsibilities: - Design, develop, and implement Python scripts and workflows to automate data extraction, transformation, and analysis tasks - Apply statistical techniques and machine learning models to identify anomalies and outliers in gaming data series - Use statistical methods to examine data distributions, uncover underlying patterns, and detect subtle deviations and trends. - Utilize Python visualization libraries (such as Matplotlib, Seaborn, Plotly, and Dash) to create clear and actionable visual representations of complex data patterns and anomalies. - Convert Game Integrity & Risk data processing needs into detailed engineering project specifications - Prepare, maintain, and conduct relevant training sessions for Risk Analysts to ensure effective use of tools and processes. - Carry out other responsibilities related to this position as assigned by the direct manager, in line with your qualifications. - Participate in case investigations and monitoring of gaming activity by provide data extraction, pattern detection, and risk assessments to assist with technical - Participate in case investigations and monitoring of gaming activity by provide data extraction, pattern detection, and risk assessments to assist with technical

Qualifications Requirements: - Bachelor’s degree (or higher) in a relevant field; - 1 year experience in relevant data analysis and processing position - Strong English communication skills (written and spoken) for performing job duties – working with the company's internal systems and daily communication with other international departments; - Solid understanding of SQL fundamentals, including queries, joins, and basic database operations. - Knowledge of statistical analysis and anomaly detection techniques; - Experience with data visualization tools (Excel + Python); - Understanding of data modelling, data cleaning, and governance; - Strong analytical thinking and problem-solving skills; - Ability to clearly communicate technical findings.

Additional Information We offer: - Inclusive and diverse workplace - Development oriented organizational culture - Health Insurance - On-site Gym / Yoga lessons - Fit pass with corporate service at partner companies - Privilege card - corporate discounts with partner companies

If you are interested, please apply by adding your CV in English until September 30, 2026