Senior Python Engineer - Data Platform, Remote

jobr.pro

Warszawa

On-site

PLN 180,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Remote work
Global projects
Travel opportunities
Private health
Multisport card
Training programs
Well-being programs

Job summary

jobr.pro is seeking a Senior Python Software Engineer to design and develop scalable backend services for a data-intensive platform. You will work with a team of engineers to build reliable services, shape technical solutions, and contribute to platform evolution.

You will design and implement REST APIs using Python, process large datasets, adopt cloud-native architectures, CI/CD, and Infrastructure as Code. Collaboration and mentoring are valued.

Qualifications

  • 5+ years of commercial Python development.
  • Experience building backend apps and REST APIs.
  • Strong SQL knowledge and PostgreSQL experience.
  • Hands-on AWS and/or Azure, Docker, CI/CD.
  • Experience with data-intensive apps and large-scale processing.
  • Knowledge of software engineering best practices and testing.

Responsibilities

  • Design, develop and maintain backend services and REST APIs using Python.
  • Build scalable solutions for processing, integrating and transforming large datasets.
  • Contribute to cloud-native architecture, CI/CD pipelines and Infrastructure as Code.
  • Collaborate with engineers on system design, data modelling and platform improvements.
  • Improve software quality through code reviews, automated testing and mentoring less experienced developers.

Skills

Python
Backend APIs
SQL PostgreSQL
AWS Azure
Docker
CI/CD
Data processing
Linux
Clean code

Tools

Terraform
Databricks
Git
CI/CD tooling

Job description

jobr.pro is seeking a Senior Python Software Engineer to design and develop scalable backend services for a data-intensive platform. You will work with a team of engineers to build reliable services, shape technical solutions, and contribute to platform evolution.

You will design and implement REST APIs using Python, process large datasets, adopt cloud-native architectures, CI/CD, and Infrastructure as Code. Collaboration and mentoring are valued.

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