Yettel is a Hungarian mobile operator with 1,000+ employees building out new revenue streams (handset insurance, refurbished phones) while modernizing its core product and data systems. The tech stack reveals a data-intensive operation—BigQuery, Spark, Python ML stack (PyTorch, scikit-learn), and BI tools (Power BI, Looker)—paired with microservice architecture (Kubernetes, Docker, Go). Active hiring across engineering, product, and marketing signals acceleration in digital sales and product lifecycle management, areas explicitly listed as pain points.
Yettel operates Hungary's mobile telecommunications network, serving consumer and business customers with mobile connectivity and internet services. The company operates through multiple business units including core mobile services, newer handset insurance and refurbished device lines, and residential broadband offerings. With over 1,000 employees based in Törökbálint, Hungary, Yettel is modernizing its product catalog, data infrastructure, and digital sales channels. The organization is scaling microservice-based applications, building measurement frameworks, and addressing data consistency challenges across product systems.
Core: Kubernetes, Docker, Spring Boot, Go, Python. Data: BigQuery, Apache Spark, PyTorch, scikit-learn, MLflow. Analytics: Power BI, Looker Studio, Google Analytics 4. Enterprise tools: Salesforce, Jira, Confluence. Recently adopting OpenAPI.
Beyond core mobile services: handset insurance business line, refurbished phones business line, residential broadband projects, and a central product catalog infrastructure. Active projects also include network security and microservice-based application modernization.
Yettel.Hungary's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.