Data Analysis állás innen: Budapest

2026. 01. 29. | Teljes munkaidõ | Budapest | SAPTop quality AI solutions enhancing cloud development processes at SAP. You will play a role in developing scalable (gen) AI and multi-agent systems and products that drive measurable business impact. The ideal candidate combines strong software engineering skills, deep understanding of data and MLOps

2026. 01. 29. | Teljes munkaidõ | Budapest | SAPIn this role, you will work closely with AI Product Owners, AI engineers, data scientists and architects to streamline the deployment and operations of AI and generative AI services and solutions. You’ll develop and maintain CI/CD pipelines, monitoring systems and cloud based environments that ensure

2026. 01. 29. | Teljes munkaidõ | Budapest | SAPAnd this with tools and technologies around the SAP Data Warehouse (BW/4), SAP Datasphere, Extraction-, Transformation-, and Loading (ETL) technologies such as SAP Data Service or SAP Data Intelligence. Aside the technical foundation with the products and tools from above we also deal with Content and Business

2026. 01. 24. | Teljes munkaidõ | Budapest | SAPOf data and MLOps practices, and hands-on experience with modern AI frameworks. The Role In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You’ll design and implement AI solutions, setup

2026. 01. 23. | Teljes munkaidõ | Budapest | SAPOf data and MLOps practices, and hands-on experience with modern AI frameworks. The Role In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems. You’ll design and implement AI solutions, setup

2026. 01. 22. | Teljes munkaidõ | Budapest | SAPTopics and this with tools and technologies around the SAP Data Warehouse (BW/4), SAP Datasphere, Extraction-, Transformation-, and Loading (ETL) technologies such as SAP Data Service or SAP Data Intelligence. Aside the technical foundation with the products and tools from above we also deal with Content

2026. 01. 22. | Teljes munkaidõ | Budapest | SAPWill own the AI product lifecycle, from discover and prioritization to delivery and continuous improvement. You will collaborate with business stakeholders, data scientists, and engineers to shape AI use cases that create measurable business impact. You’ll define and ensure that product roadmaps align

2026. 01. 22. | Teljes munkaidõ | Budapest | SAPTopics and this with tools and technologies around the SAP Data Warehouse (BW/4), SAP Datasphere, Extraction-, Transformation-, and Loading (ETL) technologies such as SAP Data Service or SAP Data Intelligence. Aside the technical foundation with the products and tools from above we also deal with Content