Risk and Integrity Data Engineer

Evolution is a market-leading Swedish company, developer and provider of products and services for online casino entertainment founded in 2006 and listed on Nasdaq Nordic (EVO).

Our integrated business-to-business solutions guarantee that our clients can always provide an unrivalled online entertainment experience to their players globally. We thrive on remaining an award-winning digital powerhouse of entertainment products and services with an ever-expanding line-up of product brands: Evolution Live, NetEnt, Red Tiger, Ezugi, Big Time Gaming, Nolimit City and DigiWheel.

Across our 40+ sites, we have 20 000+ people working in the fields of Product Innovation, Software Development, Game Presenters & Hosts, IT support, Facility & Studio build as well as support services. Evolution's dynamic and creative environment creates a unique opportunity for personal and professional growth.

Evolution Georgia entered the market in 2018 with the aim of becoming one of the biggest and best employers on the market.

Evolution Georgia is pleased to announce a vacancy for the position of Risk & 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 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

Bachelor’s degree or higher in a relevant field; 1 year experience in relevant data analysis and processing; Strong English communication skills (written and spoken); Solid understanding of SQL fundamentals; 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.