Data Security állás innen: Szegedi Kerület

2025. 12. 17. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUFortiWeb (WAF) and FortiAuthenticator (OTP) as an addon Security level implementation (based on BSI) Automation with Ansible AWX Qualifications Background and required skills Bachelor or Master’s degree in the following areas Computer science, Engineering, Information Technology, natural science

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 HUMigrate to our platform. We choose Google Cloud Managed solutions for everything. Main tasks Develop, Document, Integrate and Deploy Infrastructure-As-Code into Multiple and Staged Cloud Runtime Environments Provide abstract interfaces for an overarching automation backend Coordinate security measures

2025. 12. 16. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUEnvironments. Security and Compliance Implement security best practices within the VMWare environment, including patch management and access controls. Ensure compliance with organizational policies and industry standards. Conduct regular audits and assessments of the virtual infrastructure. Technical Support

2025. 12. 16. | Teljes munkaidõ | Szeged | Deutsche Telekom IT Solutions HUBased tolling systems for international customers, covering the entire business process (vehicle registrations, country booking, providing On-Board Units, position data transmission, charge calculation, and fleet billing). Leveraging digital intelligence and advanced technology, our tolling solutions

2025. 12. 16. | Teljes munkaidõ | Szeged | ClouderaStored in HDFS, Ozone, or public cloud buckets; data stored in Hive tables, Hive metastore, HBase or Iceberg table data; Ranger permissions and Atlas lineage. The datasets can range from terabytes to petabytes of data with some additional challenges like millions of directories/Ozone keys, individual