Data állás innen: Magyarország

2026. 03. 14. | Teljes munkaidõ | Budapest | HiflylabsUnderstand concepts of RAG, build & maintain pipeline, understand concepts of pretraining, fine-tuning Nice to have - Databricks - distributed computing - scalable ML

2026. 03. 11. | Teljes munkaidõ | Szombathely | RM Staffing B.V.About the Role We are seeking an experienced Data Center Technician for full-time work in Szombathely, HU. This is an on-site position supporting mission-critical infrastructure at premier data center facilities. Engagement Type - Full-time permanent position - Standard working hours with on-call

2026. 03. 07. | Teljes munkaidõ | Budapest | CGIBut equivalent DWH modeling approaches are also welcome) Solid knowledge of SQL and hands‑on experience with at least one major relational database platform (Oracle, PostgreSQL, MS

2026. 03. 16. | Teljes munkaidõ | Budapest | NTTJOB DESCRIPTION Do you have questions? We look forward to receiving your complete application documents stating your earliest start date. Get empowered by NTT DATA Business Solutions! We transform. SAP® solutions into Value

2026. 03. 05. | Teljes munkaidõ | Budapest | MP Solutions Ltd.That support analytics and machine learning initiatives. Tasks - Design, build, and maintain scalable data ingestion and ETL/ELT pipelines - Work with large datasets and interfaces feeding enterprise-scale databases - Analyze data flows and troubleshoot inconsistencies across systems - Perform root cause

2026. 03. 05. | Teljes munkaidõ | Budapest | UnisysPractices, including microservices, APIs, and integration patterns. Experience with both SQL and NoSQL databases, ensuring efficient data modeling, storage, and

2026. 03. 11. | Teljes munkaidõ | Budapest | ZEISS GroupDesign and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs. Develop, maintain, and optimize data pipelines and ensure data quality, reliability, and timeliness for ingestion and processing. Ensure consistent code quality

2026. 03. 11. | Teljes munkaidõ | Miskolc | ZEISS GroupDesign and implement scalable, reliable, and efficient data architecture to support large-scale data processing and analytics needs. Develop, maintain, and optimize data pipelines and ensure data quality, reliability, and timeliness for ingestion and processing. Ensure consistent code quality