Data Engineer | Remote | #1099

  • Position: Data Engineer
  • Location: 100% remote
  • Industry: Insurance

We are looking for a Data Engineer that will join a company that has almost $40 million in VC funding form from top investors. Their technology can compare many insurance offers in a blink of an eye. After comparing your current insurance with over 40 top insurance companies the solution will suggest the best one that fit your needs. It will be the best value for the money!

What you’ll be doing:

  • Manage data infrastructure including data pipelines, connectors, and data warehouse
  • Manage the security of our data stack
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Train, validate, and productize ML models for predictive analytics
  • Maintain current code and build new features in the BI reporting tool


  • We are looking for a candidate with 3+ years of experience in a Data Engineer role.
  • They should also have experience using the following software/tools:
    • Working experience with relational SQL databases, including MySQL and
    • Working experience with data pipeline and workflow management tools: Fivetran,
    • Working experience with object-oriented/object function scripting languages:
      Python, Java, C++, Scala, etc
    • Working experience with Business Intelligence platforms: Looker, Tableau
    • Managing and developing Data Warehouse with the use of DBT
    • Nice to have: experience with Dagster
  • Has got experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Presents strong statistical and mathematical skills
  • Can build algorithms and prototypes for quantitative or predictive analytics
  • Can build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Has got a successful history of manipulating, processing, and extracting value from large disconnected or unstructured datasets



... and get up to 2500PLN refferal bonus!