Data állás innen: Magyarország

2026. 02. 14. | Teljes munkaidõ | Mór | AdientJOB DESCRIPTION Data Scientist What can you expect? Adient (NYSE ADNT) is a global leader in automotive seating. With more than 65,000 employees in 29 countries, Adient operates ~200 manufacturing/assembly plants worldwide. We produce and deliver automotive seating for all major OEMs. From

2026. 02. 14. | Teljes munkaidõ | Budapesti | ClarioQuerying large databases and data lakes to identify trends, generate insights, and support internal analytics and client‑facing eCOA data‑quality monitoring solutions. Performing advanced statistical analyses and developing professional visualizations for scientific, business, and client audiences

2026. 02. 14. | Teljes munkaidõ | Budapest | MP Solutions Ltd.Pipelines that extract, transform, and load (ETL) data from various sources into a central repository and from here to the corresponding project. Your tasks - Design and implement scalable and robust data pipelines to support analytics and data processing needs - Develop and maintain database architectures

2026. 02. 14. | Teljes munkaidõ | Budapest | ClarioOf the original dataset based upon the gathered requirements and/or edit check output. Communicate with appropriate Clario staff (i.e. Data Manager, Science teams, medical staff) regarding any discrepancies found and document all results and/or changes. Work on study documentation (DMP/DTS) under the guidance

2026. 02. 14. | Teljes munkaidõ | Budapest | MP Solutions Ltd.Or comparable vocational training - Proven experience as a Data Analyst preferably in a senior or lead role, with strong focus on BI - Experience with BI tools such as SAP BI, Tableau, Power BI, SAP Datasphere - Strong understanding of cloud services and big data technologies and frameworks (e.g. Hadoop, Spark

2026. 02. 15. | Teljes munkaidõ | Budapest | ZEISS GroupYour role at Zeiss Digital Partners · You will play a crucial role in shaping the future of Master Data Architecture and actively contribute to the success of the digital transformation at ZEISS. In this challenging function, you will help our business units to establish technical solutions

2026. 02. 14. | Teljes munkaidõ | Budapest | Deutsche Telekom IT Solutions HUResponsibilities Define, document, and continuously refine layer semantics and promotion rules across Landing, Sources, Bronze, Silver, and Gold (what belongs where quality gates, required metadata, and readiness criteria, and ensure these rules are embedded in governance tooling such as Databricks Unity Catalog

2026. 02. 13. | Teljes munkaidõ | Budapest | DiageoOf our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster. About the role We are looking for an experienced Data lead for a new transformation program aimed at unlocking value by creating seamless, end-to-end integration between CIM