What you’ll do:

  • Optimalization, productization of research code (created by data scientists)
  • Development of data science platform (this is the environment in which, the data science codes are managed, scheduled, executed)
  • Productization of data science platform
  • Testing
  • Release management
  • Install and update process creation and maintenance
  • Documentation

You’ll be a great fit if you:

  • Have at least three years experience in Python 3
  • Are familiar with creating and you have an idea about using Jupyter Notebook in production
  • Are on friendly terms with Git
  • Are familiar with Docker, Linux, Jenkins
  • Work well both in a team and independently
  • Are an analytical and systems thinker
  • Are great at problem solving, and are agile and proactive
  • Are fluent in English or can at least communicate in writing

You’ll be an even better fit if you:

  • Have at least two years’ experience as a developer in the financial sector
  • Are familiar with Cassandra, Kubernetes, Kubeflow
  • Are in love with pandas
  • Worked with AWS/Azure/Google Cloud
  • Have strong working knowledge of Java 8
  • Are familiar with Jira and Confluence

What’s in it for you:

  • Buzzing startup environment (plus a rooftop garden, Xbox and darts)
  • Great team where everybody loves what they do
  • Salary commensurate with knowledge and experience
  • Training opportunities
  • Fringe benefits
  • Flexible working hours


When you’ll start: As soon as possible.

Where you’ll work:

  • Macropolis Office Building, Miskolc, with a view of the city centre
  • Residence Office Building, Budapest, District 2



We’ll get back to you as soon as possible.