Data állás innen: Magyarország

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. 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

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. 28. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUVon Geschäftsanforderungen in datengetriebene Lösungen. Sammeln, Bereinigen, Transformieren und Strukturieren von Daten aus verschiedenen Quellen (z. B. Datenbanken, APIs). Integration und Aufbereitung von Daten sowie Aufbau und Pflege von Datenpipelines und Datensätzen. Durchführung explorativer Datenanalysen (EDA

2026. 03. 28. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUVon Geschäftsanforderungen in datengetriebene Lösungen. Sammeln, Bereinigen, Transformieren und Strukturieren von Daten aus verschiedenen Quellen (z. B. Datenbanken, APIs). Integration und Aufbereitung von Daten sowie Aufbau und Pflege von Datenpipelines und Datensätzen. Durchführung explorativer Datenanalysen (EDA