Polars is the next generation of DataFrames. We don’t take the easy route and build from the ground up, controlling every element allows us to create a superior solution. Our open-source implementation is one of the fastest growing data projects on GitHub and has over 30 thousand stars and 100 million downloads to date.
We believe data processing should be a seamless experience from working locally on your development machine to an enterprise production environment. There should be one framework to learn for data practitioners, removing the need for rewriting code when going to production.
How will you make an impact?As a member of the compute team your task is to define the characteristics of our query engines (streaming, distributed, in-memory). Together with your team members you’ll define high impact areas and improve the performance, consistency and maintainability of our engines. You switch between designing and implementing our systems with a hands-on approach. You like to ship code to millions of users and like bringing in cutting edge ideas into practice.
Familiarity with query execution models (e.g., vectorized execution & pipelining).
Familiarity with query optimization techniques
Experience with a low level programming language, preferably Rust
Strong understanding of computer science fundamentals
Ability to work in a small with team with autonomy and ownership
An important role in a high-growth startup allowing plenty of growth opportunities in diverse directions
Chance to work with and learn from a small strong technical team passionate about data processing and software engineering
Competitive salary
Stock option package
Flexible working hours
€50000 - €80000 monthly