Who are we? 

• leading software projects and teams, both from the technical side and in working with the client in what they really need and providing guidance to them
• designing and developing high-quality, beautiful data-centric applications. We work a lot in R and Shiny, and also in Python.
• guiding decisions made by the team working on a project, making sure we choose good solutions, challenging unfounded assumptions and working directly with clients to discover what their true needs are,
• working with data scientists to make the models that they build usable by people, e.g. in the form of an API,
• mentoring other software engineers,
• improving our development processes and practices, and how we work as a whole.
  
  

• You’ll be reporting directly to our VP of Engineering and getting mentoring from him.
• You’ll work in a team of 2-5 people on one or two projects at a time.
• We work in an agile way (Scrum / Scrumban depending on the project). You’ll be collaborating with our scrum master Karolina to constantly improve how your team works.
• We encourage writing blogposts, preparing and giving public talks, working on internal projects, learning new skills, preparing a tech talk for the rest of the team -- we enjoy sharing knowledge and building community!
  
  

• great programming skills and be fluent in Python and JavaScript (ideally with some modern frontend frameworks), HTML, CSS.
• experience in building software systems and designing architecture.
• drive for high code quality, modern development practices and automated testing, and constant improvement of yourself and your team.
• version control system like Git, code reviews (we work mainly on GitHub).
• English language (spoken and written) B2/C1 level

• experience in building tables in the Hive / Hadoop framework.
• experience in industrializing production-grade data marts
• experience in writing code in HiveQL/SQL

• R programming language (going through http://adv-r.had.co.nz/, and familiarizing yourself with Tidyverse packages will be more than enough for the start)
• Shiny framework: https://shiny.rstudio.com/
• Python
• Docker
• Building solutions on Amazon Web Services
• Deployment automation with Ansible
  
  

• 15000 - 18000 pln gross (depends on employment type)
• Flexible working hours
• Flat structure
• Continuity of projects
• Direct influence of company decisions
• Private health care
• Individual budget for development
• Technical books
• Company retreats
• Board games evenings
• Table football
• Remote work
• Fresh fruit
• Free coffee
• Choice of B2B or permanent employment

• R
• Shiny
• JavaScript
• Python
• Docker
• Ansible
• Git
• AWS
• HTML
• CSS/SAAS
• Tensorflow
• Plotly

• Employment type: we’re flexible – you can choose between permanent employment and B2B.