Resunova
All jobs

Evolution

Risk and Integrity Data Engineer

Tbilisi, Tbilisi, Georgia

Posted October 13, 2026

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 matters. 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. 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