2026. 01. 22. | Teljes munkaidõ | Budapest | Allianz Technology SE Hungary BranchIn an agile environment. What You Do - Design and implement Infrastructure as Code (IaC) solutions using Terraform, and develop CI/CD pipelines with GitHub, Jenkins, and GitHub Actions. - Engineer data solutions using SQL and PL/SQL, and manage data warehouse/lakehouse services like Snowflake. - Utilize AWS
Nézze később2026. 01. 22. | Teljes munkaidõ | Budapest | SanofiOperations and lead root cause analysis for platform issues Partner with application teams to deliver standardized, GxP-compliant Windows platforms that support SQL Server, .NET, and Oracle workloads Architect Windows update management solutions and lifecycle strategies while maintaining regulatory
Nézze később2026. 01. 20. | Teljes munkaidõ | Budapest | Randstad HungaryMaintenance Monitor, troubleshoot, and document data models and engineering standards. Requirements - Python Solid programming skills for data processing and automation. - Azure Data Factory Experience building and managing cloud orchestration. - Microsoft SQL Server (MSSQL) Advanced SQL skills
Nézze később2026. 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
Nézze később2026. 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
Nézze később2026. 01. 20. | Teljes munkaidõ | Budapest | 4flowAre eager to grow your expertise even further. It’s a plus if you’ve already gained experience with technologies like Docker, AWS, SQL or NoSQL databases, Domain‑Driven Design, CI/CD pipelines, Python, microservices, or even AI/ML integration-though none of these are mandatory. What matters most is your
Nézze később2026. 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
Nézze később2026. 01. 17. | Teljes munkaidõ | Budapest | Tech PeopleASAP Tasks Lead and mentor data engineering teams, setting technical direction and ensuring best practices across SQL, DBT, Snowflake, and cloud platforms. Oversee scalable data pipelines and architectures, ensuring performance, reliability, and data quality. Collaborate with business and technical
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