Risk and Integrity Data Engineer

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