Risk and Integrity Data Engineer
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.
Responsibilities
- Design, develop, and automate data workflows using Python;
- Apply statistical and machine learning techniques to identify anomalies and outliers;
- Analyze data distributions, trends, and hidden patterns;
- Build clear and actionable data visualizations (Matplotlib, Seaborn, Plotly, Dash);
- Translate business needs into technical and engineering specifications;
- Support and train Risk Analysts on tools and processes;
- Lead technical investigations and gaming monitoring projects;
- Design and support risk assessment tools and solutions.
Requirements
- Bachelor’s degree (or higher) in a relevant field;
- At least 3 years of experience in data analysis or data processing;
- 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;
- Proficiency in SQL, Python (Pandas, NumPy, SciPy, Matplotlib, Scikit-learn);
- 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.
Benefits
- Competitive monthly salary 2900 - 3100 EUR gross;
- Comprehensive health insurance, including dental care, mental and physical health support, and additional benefits;
- Continuous personal and professional development opportunities (trainings, workshops, knowledge sharing);
- A dynamic, international, and modern work environment;
- Opportunity to work on impactful, data-driven projects in a global company.
