iGaming slot-game studio with data-lake and analytics infrastructure
GAMOMAT develops and publishes online slot games across 30+ countries in multiple languages, with 150+ titles in live operation. The tech stack reveals a data-heavy organization: Go + Kotlin for game services, but substantial investment in AWS data infrastructure (Glue, Athena, Iceberg, Airflow, dbt, Spark) plus data quality tools (Great Expectations), suggesting a shift from pure game development toward analytics-driven player insights and gaming-as-a-service operations. Active hiring skews senior (4 of 7 roles) across engineering and data, indicating scaling of backend systems and analytics capability rather than game-art expansion.
GAMOMAT is a Berlin-based iGaming studio founded in 2008, evolving from land-based gaming into online slots. The company operates 150+ published titles played across 30 countries in 29 languages, serving both real-money and social-casino segments. Backend infrastructure runs on Go and Kotlin with Docker and GitLab CI/CD, while a modern data platform (AWS Glue, Athena, Iceberg, dbt, Spark, Airflow) handles player analytics and event tracking. Current engineering focus includes gaming-as-a-service platform development, engine roadmap work, and data-lake modernization—all constrained by peak-load scalability and legacy engine maintenance challenges.
Go, Kotlin, Docker, AWS (Glue, Athena, Iceberg), Apache Airflow, dbt, Spark, Python, TypeScript, Pixi.js for game rendering, and data tools (Great Expectations, Tableau, Metabase) for analytics.
Over 30 countries, with games published in 29 languages across real-money and social-casino platforms.
Other companies in the same industry, closest in size