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Second Foundation (web)

Python Developer

Prague, Czechia

Location
Prague, Czechia
Work
Not stated
Employment
Full-time
Level
Not stated
Function
Engineering
Pay
Not stated
Posted
23 months ago

About the role

We are a unique combination of a technology company and a trading house. Our mission is to turn data into market-beating trading strategies by using sophisticated mathematical models while helping to balance the power grid.

What would you work on?

  • Building industry-leading tooling in Python that supports analytical and trading teams.
  • Setting up data processing and improving its infrastructure.
  • Enabling new machine learning approaches and simplifying ML operations.
  • Deploying new models in production, monitoring their reliability and continuously improving their performance.
  • Presenting complex data in an easily understandable way through custom dashboards.
  • Delivering your code quickly to production with direct feedback from internal stakeholders.

What makes you a great candidate?

  • Mathematical or technical background.
  • A curious mind, a passion for problem-solving, and commitment to working collaboratively.
  • Strong ability to discuss, communicate and document technical decisions.
  • Affinity for delivering clean, concise, and maintainable code.
  • Ability to grasp new data and present it clearly and effectively.
  • Experience with Python and its libraries for data analysis, such as NumPy, and pandas.
  • Experience with any of: CI/CD (K8s), ML toolkits, performance optimization.

What do we offer?

  • Brand new office in the city center – Masaryčka.
  • Competitive salary package with the possibility of a yearly bonus.
  • 25 days of paid holiday.
  • Flexible working hours and home-office options.
  • High-end workstation.
  • Sponsored lunch in the office. Every workday.
  • Free snacks at the office.
  • Multisport Card – fully paid by the company.
  • Colleagues who are absolute experts in what they do.

Source

Posted by Second Foundation (web) on their own hiring page, job-boards.eu.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 00:43 UTC; the original is the reference.

View the original ad ↗

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