2026. 03. 12. | Teljes munkaidõ | Budapest | ClearGridCompelling manner. - Work closely with stakeholders to understand their needs and deliver customized analytics solutions. 2. Database - Write efficient and optimized SQL queries to extract, transform, and analyze data from various sources. - Ensure data accuracy, integrity, and consistency across datasets
Nézze később2026. 03. 07. | Teljes munkaidõ | Budapest | SanofiJob title Data Demand Lead Location Budapest, Váci Greens Hybrid working About the job As Data Demand Lead within our Business Operations Transformation team, you'll enable process transformation by delivering global data services that help Sanofi become a truly data-driven company. Ready to get
Nézze később2026. 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
Nézze később2026. 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
Nézze később2026. 03. 09. | Teljes munkaidõ | Budapest | BYD EuropeAll-electric buses, and all-electric forklift trucks. -About the role This role will be vital in assuring data monitoring & Reports for Customer Care and BYD After Sales Service Department. Data analysts is responsible for producing operation reports of customer service centers, complaint analysis
Nézze később2026. 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
Nézze később2026. 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
Nézze később2026. 03. 05. | 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
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