Data Product Owner @

As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

• Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

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As Hungary's most attractive employer in 2025 (according to Randstad's representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries.

DT-ITS recieved the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.

,(Gather, structure, and prioritize business needs across Deutsche Telekom's service and technology landscape, Manage and continuously refine the product backlog based on business value, Align regularly with stakeholders to ensure a clear understanding of needs and objectives, Lead the development team and facilitate agile ceremonies (e.g. planning, reviews, retrospectives), Collaborate closely with Data Tribe leadership and developers to drive product outcomes, Translate business logic into clear, developer-ready specifications, Own the full end-to-end product lifecycle and optimize across the data landscape, Support validation, testing, and definition of acceptance criteria, Measure and analyze product success and prepare regular reporting, Identify opportunities for new data products, automation, and AI-driven improvements) Requirements : SQL, data-driven, agile, Fixed Network, GCP, Hadoop, Airflow, Python Additionally : Sport subscription, Private healthcare, International projects, Training budget, Mobiltelefon, Free coffee, Canteen, Bike parking, Playroom, Shower, Free parking, In-house trainings, In-house hack days, Modern office, No dress code.