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Software / Data Engineer
Java

Software / Data Engineer

Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B, Permanent
Operating mode
Remote

Tech stack

    Java

    regular

    AWS

    regular

    Kotlin

    nice to have

Job description

Online interview
Compensation: 11,1 - 21,1k PLN net B2B / 9,5 - 18,2k PLN gross CoE

Join us and change the way how clients from the media industry operate. Together we will boost publishing to a new era.

Along with our client, we are looking for a Regular/Senior Software/Data Engineer for a growing international initiative to unleash the power of data and technology. We are developing a suite of next-generation, cloud-native data products. Our suite includes an automation and personalization platform, an ad server and a natural language understanding engine.

As part of this team, you can expect to work in an international environment (primarily with our Swiss partner), therefore one of our communication languages is English. Your tasks may include developing new functionalities as well as improving existing features of our product. In everyday work, we value Clean Code practices and hope you share our enthusiasm towards SOLID principles. While Kotlin is not the focal point of our technological stack, we encourage and assist newcomers in learning this language. Last but not least, our solution is based on AWS, therefore you can count on using tools associated with this cloud stack.

The recruitment process is remote - what's more, you get to choose whether you want to work fully remotely or on-site in one of our offices located in Warszawa, Wrocław or Kraków.

Must have:
  • at least 2 years of experience using Java or JVM-based languages in microservice setting,
  • familiarity with cloud computing on AWS (S3, RDS, Kinesis, etc.),
  • openness to new technologies and languages (i.e. Kotlin),
  • SOLID principles, Clean Code practices,
  • fluent command of English and Polish.

It would be great if you have:
  • background in natural language processing or recommendation systems,
  • general understanding of machine learning,
  • experience with event-driven architecture and polyglot persistence.

Apart from financial compensation for your work, you can expect the following:
  • life insurance and private healthcare,
  • flexible working time,
  • training and conference budget.

Sound interesting? Don't hesitate to apply now!