2025. 11. 13. | Teljes munkaidõ | Budapest | DeloitteDescription & Requirements Who we are looking for We are looking for a Data Engineer with Databricks expertise to join our growing AI & Data team in Budapest. This role is ideal for someone with a strong foundation in data engineering who wants to deepen their skills in Databricks, cloud platforms
Nézze később2025. 11. 13. | Teljes munkaidõ | EpamForward to speaking with you! For further information please check our web site at we are looking for a Lead Data DevOps Engineer for our Data Practice in Hungary to make the team even n more about our Data Practicehere. #Not found Responsibilities Design, implement and integrate modern data
Nézze később2025. 11. 13. | Teljes munkaidõ | EpamAre looking for a Senior Data Integration Engineer to join our dynamic Data Practice team and collaborate on EPAMs strategic projects. #Not found Responsibilities Play a key role in driving forward EPAM strategic data projects Design, build, and manage enterprise data solutions in Public Cloud (AWS, Azure
Nézze később2025. 11. 19. | Teljes munkaidõ | Budapest | Randstad HungaryDepartment Would you like to work at a company where professional growth goes hand in hand with a strong emphasis on work-life balance? Are you looking for new challenges? If you're fascinated by the world of airlines and eager to gain insight into how a Senior Data Engineer contributes to the operations
Nézze később2025. 11. 15. | Teljes munkaidõ | Sigma SoftwareOverview Required skills Python - strong Azure - strong Databricks - strong Spark - strong English - strong Unleash your ambition and lead a team as a Senior Data Engineer! We are looking for a professional who not only has impressive data engineering experience but is also ready to take
Nézze később2025. 11. 13. | Teljes munkaidõ | SnaphuntToday, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe
Nézze később2025. 11. 13. | Teljes munkaidõ | SpeechifyToday, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe
Nézze később2025. 11. 13. | Teljes munkaidõ | Budapest | SAPAs a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality
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