Python állás innen: Magyarország

2025. 11. 18. | Teljes munkaidõ | Budapest | Tech PeopleTech People is a European provider of technical skills permanent recruitment and temporary contracting services for multiple industries. Currently we are looking for SENIOR DATA ENGINEER - PYTHON (JT) Location Budapest, XI. district, hybrid (3 days in office/week) Salary competitive Type

2025. 11. 30. | Teljes munkaidõ | Budapest | Tech PeopleKözépfokú) angol nyelvtudás Kiemelkedő kommunikációs és prezentációs készség, analitikus gondolkodás Projekt és fejlesztés támogató szoftverek használatának ismerete ELŐNYT JELENT Informatikai és/vagy közgazdasági végzettség Python, Spark ismeret Agilis projektmenedzsment

2025. 11. 21. | Teljes munkaidõ | Budapest | Tech PeopleWith Scala (experience with Spark is a plus) Proficiency in SQL and database technologies Knowledge of big data processing frameworks such as Spark Familiarity with distributed systems and cloud computing environments Familiarity with scheduling tools such as Airflow Familiarity with Python Familiarity

2025. 11. 20. | Teljes munkaidõ | Budapest | Tech PeopleGathering requirements and refining user stories, through designing solutions and writing code, to supporting users. Work on a diverse technology landscape involving various programming languages (Java, Scala, Python), data management systems, and CI/CD pipelines (Jenkins). Contribute to solving a wide

2025. 11. 18. | Teljes munkaidõ | Budapest | Tech PeopleOn knowledge in Python is a big plus Knowledge in Kubernetes/DevOps/cloud computing/Stream processing is a plus

2025. 11. 13. | Teljes munkaidõ | Budapest | Tech PeopleNeeds to be to be currently eligible to work in Hungary. Nice to have Hands on knowledge in Python is a big plus Knowledge in DevOps/Cloud computing/Stream processing is a plus

2025. 11. 13. | Teljes munkaidõ | Budapest | Tech PeopleExperience (minimum 5 years), with a focus on performance and concurrency Experience with scripting languages, such as Python, ksh, and/or bash on Linux Experience with cloud providers (AWS, Azure, or GCP) Experience with grid software, such as Symphony - DataSynapse Experience with containerization (Docker