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Risk and Integrity Data Engineer

Evolution · Tbilisi, GE

On-siteWorkplace
4d agoPosted · Sep 18
Company siteSource
$145kdata engineer median
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Experience1+ years

Skills in this posting

The posting

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

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