Systems Engineering

at PeakData AG open_in_new
Fully remote
Job type
full time
2 months ago
flask python api docker pandas rest mongodb

Job description

Do you like working with data? Do you like the challenge of building high-performance systems with elegant architecture? Are you passionate about code quality (PEP, unit tests, code reviews within Merge Requests)?

Do you bloom in an environment, where every developer is encouraged to critique solutions (in a kind/non-personal way!) to strive for excellence of the product rather than staying silent and looking the other way?

If yes, you might enjoy working with us! We are looking for a python developer, who would like to grow with us. As part of our team (currently 9 developers and data scientists), you’ll be part of building the central piece of Software that manages the execution / result handling of our many different data ingestion + transformation modules. This software includes:

  • A data revisioning system incl conflict handling
  • In-depth data quality validation
  • modules to support the performance of the data ingestion+transformation modules
  • data anomaly detection
  • A REST API (powered by Flask and OAUTH)

any many more parts.

Your role includes a high degree of responsibility, as the Software you’ll help building is the central piece pulling every other module together. We are looking for someone who is very reliable, who keeps cool if shit hits the fan, and who is self-confident enough to step up and strive for the best possible solution at every occasion.


Our stack is: Many CSV’s that mostly fit into RAM, MongoDB, Python3.7, Docker + Swarms (everything is dockerized), GitLab, Skype for comm (always with video for calls). You must already have extensive experience in Python-Pandas, the rest can easily be learned on-the-job.

Our interview process consists of test assignment (~2h) and technical interview.

Company description

PeakData is a Swiss-based AI startup, set on the mission to alleviate some of the hurdles of medical affairs and commercial teams on their journey from drug approval to commercialization. Since its establishment in 2017 the company has shown exceptional success through its product Healthscape – a one stop shop platform consolidating all public and internal data about KOLs and prescribers in real time. Reinforced through 11 talented Data Scientists and Software Engineers we tirelessly drive the data-based disruption to the drug commercialization world.

Interested in the position? Apply now!