Risk and Integrity Data Engineer

About the role

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.

Key responsibilities

• Design, develop, and implement Python scripts and workflows to automate data extraction, transformation, and analysis.
• Apply statistical techniques and machine‑learning models to identify anomalies and outliers in gaming data series.
• Use statistical methods to examine data distributions, uncover patterns, and detect subtle deviations and trends.
• Utilize Python visualization libraries (Matplotlib, Seaborn, Plotly, Dash) to create clear visual representations of complex data patterns.
• Translate Game Integrity & Risk data processing needs into detailed engineering specifications.
• Prepare, maintain, and conduct training sessions for Risk Analysts on tools and processes.
• Participate in case investigations by providing data extraction, pattern detection, and risk assessments.

Required profile

• Bachelor’s degree (or higher) in a relevant field.
• At least 1 year of experience in data analysis or processing.
• Strong English communication skills, both written and spoken.
• Strong analytical thinking and problem‑solving abilities.
• Ability to clearly communicate technical findings.

Required skills

• Python programming.
• SQL query writing and database operations.
• Statistical analysis and anomaly detection techniques.
• Data visualization using Excel and Python libraries (Matplotlib, Seaborn, Plotly, Dash).
• Data modelling, data cleaning, and data governance.

What we offer

• Inclusive and diverse workplace.
• Development‑oriented organizational culture.
• Health insurance.
• On‑site gym and yoga lessons.
• Corporate fitness pass and discount cards with partner companies.