2026. 02. 14. | Teljes munkaidõ | Budapest | ZEISS GroupSpark-based data transformations (e.g. Databricks, Data Factory, MS Fabric), search engines (Elastic), graph databases, and analytical or in-memory database systems (SQL
Nézze később2026. 02. 14. | 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
Nézze később2026. 02. 14. | Teljes munkaidõ | Mór | AdientPerformance indicators reporting Evaluation, reporting and analysis of operational key figures (OEE and capacity) for the European plants. Identification of improvement potentials based on the analyzed data. Evaluation of reuse potentials Evaluation of the reuse potentials of existing equipment for new
Nézze később2026. 02. 14. | Teljes munkaidõ | Budapest | NielsenIQDescription To track consumer trends in the Tech & Durables goods sector, NIQ relies on sales data exchanges with retailers in the industry, whether they operate physical stores or online platforms. The primary purpose of this role is to improve NIQ’s position within the Tech and Durables industries
Nézze később2026. 02. 14. | Teljes munkaidõ | Budapest | DeloitteOr similar). Prior SuccessFactors implementation experience is preferred. Demonstrated experience leading large, complex programs across multiple countries or business units. Proven ability to manage projects involving systems’ integrations, data migration, process transformation, and system cutovers
Nézze később2026. 02. 14. | Teljes munkaidõ | Budapest | Syngenta GroupDrive continuous improvement in system usage, processes, controls, and data quality. - Build and maintain trusted relationships with Treasury stakeholders, IT teams, and external
Nézze később2026. 02. 14. | Teljes munkaidõ | Budapest | Louis Dreyfus CompanyWith cutting-edge technology (Cloud, AI and Machine Learning, Agile DevOps/ SecOps, data mesh, RPA, research repositories…). Our IT strategy has already achieved significant value driving innovation, efficiency, agility and speed to market. Our research and BI capabilities have driven superior decision making
Nézze később2026. 02. 14. | Teljes munkaidõ | Budapest | CopelandOut-of-TSR scope technical issues to the appropriate support group. Create and manage customer data records within our applications to ensure proper data integrity. Resolves technical issues for customers across all account tiers Resolves customers’ single incidents during activation, installation
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