Position title
Data Engineer

As a Data Engineer  you are crucial to product success. For this, the scalability and security of our analytics platform are fundamental.

Our current analytics platform premergency.de offers the following functions:

  • attractive UI with material design (selective support by award-winning UX designers)
  • React / API-driven Frontend
  • various backend services
  • Vector-based map services (Mapbox MVTv2)
  • own routing engine and risk algorithms in scalable worker architecture
  • good experience in software architecture - you should know relevant authors and design patterns,
  • good knowledge of the Spring Framework (v5), but also interested in new tech like GoLang
  • basic knowledge of Python and willingness to write pipelines, workers etc. in Python instead of Java, though our backend stack is governed by Java
  • good knowledge in at least one ETL or data processing tool (e.g. Apache Airflow, Apache Beam, Spring Dataflow, Kedro)
  • passionate knowledge of Docker / Kubernetes or willingness to learn on the job
  • proficiency in SQL-2011 and experience in Postgresql
  • knowledge of MPP databases like Spark 2.0 or Exasol would be a plus
  • knowledge in Scrum and User Stories would be very great (ACs, Task-breakdown etc.),
  • willingness to take the test for certification as a Google Professional Cloud Data Engineer within the trial period
  • we expect you to be fluent in English (UniCert C1 or C2)
  • Willingness to participate in consulting projects and also to work hands-on
Job Benefits
  • attractive salary and performance based bonuses
  • free, hot and cold drinks
  • Fruit basket for your vitamins
  • monthly voucher for gym or sports club
  • free Coursera training courses and our own specialist library
  • promotion to qualification as Google Professional Cloud Developer and higher.
  • Employer contributions to capital formation
  • Private health insurance
  • Employee referral program

Working atmosphere

  • exciting projects in the field of applied mathematics, data science and software architecture
  • in-house product development
  • Big Data "to touch" as a challenge for Frontend + Backend
  • relaxed working atmosphere in a young, innovative but very experienced team


  • latest laptop, 27″ displays
  • Ergonomic workplace with height-adjustable, standing desk and daylight lamps


Employment Type
Full time
Beginning of employment
As soon as possible
IT, Data Science, Consulting, Software Development
Job Location
Žalgirio g. 90, Vilnius, 09300, Lithuania
Date posted
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Position: Data Engineer

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