Python Developer

Quick Facts

• Hybrid working model with 50% attendance required at the Warsaw office
• Role: Python Developer (Remarketing Platforms IT)
• Focus: data-driven vehicle pricing, mapping, and recommendations platform

Description

You will work across data pipelines, backend services, APIs, and system integrations, transforming business and pricing logic into robust, scalable, and maintainable software.

Your responsibilities

Data pipelines

• Design, build, and maintain ingestion and transformation pipelines orchestrated with Airflow
• Bring internal vehicle and contract data and external market data into the platform

Data modelling

• Shape and evolve the canonical data model in the data hub
• Focus on data quality, consistency, and lineage

Backend & APIs

• Build and maintain Python services and REST APIs exposing pricing, vehicle, mapping, and recommendation data to internal consumers
• Include exposure for the Motortrade platform

Integration

• Implement and maintain integrations with source and downstream systems
• Manage external API integrations and event-driven data flows

Quality & reliability

• Write clean, tested, and well-documented code
• Implement monitoring and data-quality checks
• Support pipelines and services in production

Collaboration

• Work with Product Owners, Technical Architects, Scrum Masters, and Motortrade developers
• Translate pricing and business logic into robust and maintainable software

Full-stack contribution (plus)

• If you have a full-stack profile, contribute to the Angular front end where pricing features are presented to users

Requirements

• 3–5 years professional experience as a Python Developer, preferably with a data or backend focus
• Strong Python skills, including pandas and building REST APIs with FastAPI or Flask
• Solid SQL skills and hands-on experience with relational databases, especially PostgreSQL and/or Oracle
• Experience building and orchestrating data pipelines, ideally using Airflow
• Good knowledge of Git, code reviews, automated testing, and CI/CD practices
• Good understanding of API design and system integration
• Ability to work confidently in English within an international team

Nice to have

• Full-stack experience, particularly Angular (strong advantage)
• Experience with cloud data infrastructure and containerisation
• Exposure to event streaming technologies such as Kafka
• Familiarity with data-quality and observability tools
• Understanding of machine-learning workflows and ability to collaborate with data scientists
• Experience in automotive, leasing, pricing, or remarketing (advantage, not required)

Benefits

• Hybrid working model with 50% attendance required at the Warsaw office
• Work on a data-driven platform in the automotive and remarketing domain
• Collaboration with an international, cross-functional IT team
• Opportunity to work across Python, data engineering, APIs, integrations, and cloud technologies
• Role with real impact on pricing and business processes