2024. 04. 26. | Teljes munkaidõ | Szeged | Fujitsu Technology SolutionsBy building trust in society through innovation. This is our way of working and our vision for the future. To do this, we need people around who share our vision. People who recognize the vital role technology plays in making the world a better place. People who will transform the way the world lives
Nézze később2024. 04. 26. | Teljes munkaidõ | Szeged | N-iXThe client is one of the globally leading manufacturers in the field, specializing in producing sensors, encoders, measuring instruments, and components for automated image processing. Responsibilities Creation and maintenance of automated tests; Working on a daily basis with the client’s team
Nézze később2024. 04. 23. | Teljes munkaidõ | Szeged | NeoGamesAnd simplification Participate in the maintenance of Technology and Data roadmaps Requirements 3+ years in a Data role within the iLottery, iGaming, or Sportsbook industries Degree in Computer Science, Software Development, or Engineering. Expertise in data modelling techniques Proven track record in information
Nézze később2024. 04. 15. | Teljes munkaidõ | Szeged | LLInformaticsYour tasks and responsibilities Implementing new functionalities on our client’s platform Maintenance of the code - delivering optimization and improvement of the performance Doing regular code reviews/PR reviews for your colleagues Work on the migration of the code to new technologies Writing unit
Nézze később2024. 04. 15. | Teljes munkaidõ | Szeged | InspeerityTL;DR Who QA Engineer Seniority Mid Employment Type B2B/UoP Salary range Up to 100 PLN/h Start date ASAP Company Software House Who we are We are Inspeerity, a modern software house, providing software development, consultancy, and maintenance services. We specialize in full stack
Nézze később2024. 04. 12. | Teljes munkaidõ | Szeged | SunscrapersPacific Time), and in the first weeks of cooperation, availability is expected from 500 p.m. to 800 p.m. Requirements What's important for us Experience of minimum 5 years as a full stack or data engineer in the fields of data warehousing, data monitoring, and building and maintaining ETL pipelines
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