Data Architect állás innen: Szegedi Kerület

2025. 12. 18. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUQualifications Requirements Extensive experience in microservice architectures, container and container orchestration (Kubernetes, Docker/OCI, Helm) Cloud infrastructure & architecture experience Experience with monitoring and logging tools Experience with databases in container deployments Experience

2025. 12. 18. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUWork with databases and integrate with existing systems - Analyze and clarify requirements with business stakeholders - Write and maintain technical documentation - Contribute to CI/CD, logging, monitoring, and release management processes together with our DevOps team - Support the use

2025. 12. 18. | Teljes munkaidõ | Debrecen | Deutsche Telekom IT SolutionsCloud technologies and infrastructure. The project seeks to enhance Europe’s digital sovereignty by fostering innovation in cloud services, improving data security, and boosting competitiveness in the global digital market. By pooling resources and expertise, IPCEI-CIS aims to develop secure, efficient

2025. 12. 17. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUJob Description We are looking for a Senior Database Engineer. A technical expert responsible for building, monitoring, and maintaining data pipelines and database solutions. analyzing datasets to identify opportunities for product process optimization and utilizing models to evaluate

2025. 12. 17. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUJob Description Department This position is filled in the IoT Technology team of Deutsche Telekom IT Solutions Hungary. The team consists of IT professionals working on big data, data analytics, data sharing and IoT solution implementation projects. Project Energy Cloud is a comprehensive

2025. 12. 17. | Teljes munkaidõ | Szeged | Deutsche Telekom IT SolutionsEngineer. A technical expert responsible for - building, monitoring, and maintaining data pipelines and database solutions. - analyzing datasets to identify opportunities for product - process optimization and utilizing models to evaluate the effectiveness of different approaches. Education & Skills