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:

• Bachelors 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 companys 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 June 12 2026

Remote Work :

No

Employment Type :

Full-time