Sql Server állás innen: Budapest

2026. 01. 20. | Teljes munkaidõ | Budapest | Randstad Hungary KftStructures. - System Improvement Continuously scale and optimize analytical datasets for better maintainability. Requirements - SQL Advanced skills for complex transformations and performance tuning. - DBT (data build tool) Extensive experience in managing transformation frameworks. - Azure Synapse

2026. 01. 20. | Teljes munkaidõ | Budapest | SanofiOwners. Work extensively with SAP or CRM (healthcare) data sources, ensuring accurate extraction, transformation, and interpretation of data. Can create SQL queries for data exploration, reporting, and validation. Can build prototypes, mockups, or data models to demonstrate analytical approaches

2026. 01. 20. | Teljes munkaidõ | Budapest | TalentSpot Karrier Kft.Management tools (Jira, Spira/Testrail), SQL, Oracle database, Linux o Good to have ISTQB CT-FL or higher, Automated

2026. 01. 20. | Teljes munkaidõ | Budapest | TalentSpot Karrier Kft.Experience o Must have Test management tools (Jira, Spira/Testrail), SQL, Oracle database, Linux o Good to have ISTQB CT-FL or

2026. 01. 20. | Teljes munkaidõ | Budapest | 4flowAnd SQL and you feel confident working with frameworks like TensorFlow, PyTorch, and Hugging Face Transformers. You have a strong understanding of machine learning algorithms and

2026. 01. 20. | Teljes munkaidõ | Budapest | 4flowHave experience with tools and technologies such as Docker, AWS, SQL/NoSQL databases, microservices, CI/CD pipelines, or even AI/ML integration You stand out through strong communication and collaboration skills, a detail‑oriented and quality‑focused work style, and the ability to operate both

2026. 01. 20. | Teljes munkaidõ | Budapest | TalentSpot Karrier Kft.Experience o Must have Test management tools (Jira, Spira/Testrail), SQL, Oracle database, Linux o Good to have ISTQB CT-FL or

2026. 01. 20. | Teljes munkaidõ | Budapest | 4flowComfortable using SQL and handling large datasets. You have hands-on experience with established machine learning frameworks such as TensorFlow, PyTorch, scikit‑learn or Hugging Face Transformers and you understand data engineering, ETL processes and core ML algorithms well enough to translate them