Data engineer



What started as a broad data science company, grew into a software company specialised in churn prevention and utilising up-sell opportunities. Our data driven methods are based on a broad scale of ML and econometric models that predict future churners, optimise marketing allocation budget and discover opportunities along the customer journey.We deliver an advanced AI product which guides our customers through their data driven retention transformation. Not only shaping their strategy, but also preparing them for the future with sustainable implementations that will improve over time.

This is what you like doing

You will integrate the product DevOps team and participate in the development of the data infrastructure for our analytics engine. Responsibilities can vary among:

  • Collect and store data from customer systems using APIs into our transformation layer
  • Setup automated transformation pipelines to prepare data for machine learning
  • Work with Docker and Kubernetes to make these processes scalable
  • Collaborate with Data Scientists to make sure data science models are consistently running
  • Structure and organise data for use in specific analysis applications.

You recognize yourself in this

  • Masters ( or equivalent experience) in a quantitative field (Computer Science, Mathematics, Engineering, Economic, etc.)
  • Strong experience in Python (must)
  • Strong experience in SQL (must)
  • Strong experience in either GCP, AWS or Azure (GCP preferred) (must)
  • Experience with integrating APIS with external systems
  • Experience with Kubernetes and Docker is a big plus

This is what you look for in a job

  • Competitive salary based on skills and experience
  • A unique chance to work in a high-tech data science startup
  • The opportunity to grow with the company and become one of the Lead Data Engineers
  • Guidance from experts ( e.g. our partner, who is a Professor in Data Science & Econometrics)
  • An open, internationally oriented company culture

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