data engineer

The team builds scalable data platforms, backend services, and integrations supporting vehicle pricing and recommendation solutions.

• Design, develop, and maintain data ingestion and transformation pipelines using Apache Airflow;
• Build and maintain Python-based backend services and REST APIs;
• Contribute to the design and evolution of the platform’s canonical data model;
• Develop integrations with internal and external systems using REST APIs and event-driven architectures;
• Write clean, well-tested, and well-documented code while supporting monitoring and data validation processes;
• Collaborate with business and technical stakeholders to deliver scalable pricing and recommendation solutions;
• Support Angular frontend development for pricing and recommendation features.

• 3–5 Years of professional experience with Python backend development or data engineering;
• Strong Python skills, including Pandas and FastAPI or Flask;
• Solid SQL knowledge and experience with PostgreSQL and/or Oracle;
• Hands-on experience building and orchestrating data pipelines with Apache Airflow;
• Experience with Git, code reviews, automated testing, and CI/CD workflows;
• Good understanding of API design and system integration principles;
• Strong communication skills and experience working in international teams;
• Fluent English;
• Candidates must be based in Poland;
• Nice to have: Full-stack development experience, particularly with Angular, cloud-native data platforms and containerization technologies, Kafka or other event-streaming technologies, data quality, monitoring, or observability tools, basic understanding of machine learning workflows and collaboration with data science teams, experience in the automotive, leasing, vehicle pricing, or remarketing industry.

• Hybrid work based in Warsaw, Poland with 3 days per week at the client's office;
• Start ASAP.