Data Engineer


Qantev is a growing AI company in health data analysis. We're using insurer's historical claims data to deliver high-impact insights on medical networks.

Backed by top European VC and industry leaders, we aim to become the go-to decision making & enterprise automation software for health insurance.

We are a small, but quickly growing, team so your responsibilities will evolve rapidly. As an early hire of our scaling phase, you will have unparalleled opportunity for ownership and growth within the company.

Job Description


Qantev is growing fast and needs a data engineer with experience in complex data flows to improve our architecture.

In the short-term, we expect you to contribute directly to the improvement of our existing data architecture. In the long-term, as the team grows, you will gain responsibility and lead the tech team's data engineering projects.

Tech Stack

  • Python / Django / DRF
  • Pandas
  • Clickhouse / ElasticSearch / Postgres


Here's a little preview of what your coworkers look like:

  • Skilled data scientists who eat algorithms and models for breakfast
  • Passionate software engineers who care about clean code and good practices
  • Experienced entrepreneurs who work hand-in-hand with the tech team to deliver features

Our team is English-speaking only — no French required!


  • Attractive salary
  • Half of your transport fees covered
  • Meal card (Swile) for your lunches
  • Comprehensive health insurance package through Alan
  • Offices in the biggest startup campus in the world
  • Flexible remote work and working hour policies
  • Flat hierarchy where every voice counts
  • Focus on personal growth and responsibilities
  • Housing available through a partnership with Station F

Preferred Experience

You are the perfect candidate if you have experience with:

  • Complex data flows and data architectures
  • Python development and knowledge of its ecosystem (bonus: pandas, pyspark)
  • One or more cloud providers (Azure or AWS are preferred)

Also bonus points if you have experience with some of those:

  • Spark
  • Redshift
  • Snowflake
  • Other analytics databases

Recruitment Process

  • Screening interview
  • Technical interviews
  • Team fit interview

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75009)
  • Experience: > 2 years
  • Possible partial remote