As a Python Developer – Data Engineering Focus, you’ll play an important role in creating innovative data solutions for our customers. Working closely with a supportive team, you’ll develop Python-based tools to shape the future of aviation operations.
1. Design, implement, and maintain data pipelines to support operational and analytical needs in the aviation industry.
2. Develop robust and efficient Python solutions for data processing, transformation, and analysis.
3. Integrate complex data from airlines, airports, and partners into seamless workflows.
4. Collaborate with cross-functional teams to create data-driven tools that optimize decision-making for aviation operations.
5. Ensure the performance, reliability, and scalability of data workflows in compliance with industry standards.
6. Explore and implement new technologies to stay ahead in a fast-evolving industry.
Contact E-mail address for inquiries
Old-age provision / employee retirement, Company bonus (if applicable), Free parking, Flight privileges, Canteen (subsidized by employer), Business cell phone / ipad, Support for relocation, Discounts / shopping, Employee events (summer festivals, participation in sports competitions etc), Hybrid working possible, Flexible working hours
The full list of requirements can be found on our job site.
We’re looking for someone with 2+ years of experience in data engineering or software development. The ideal candidate has:
7. Proficiency in Python for data processing, scripting, and package management
8. Familiarity with ETL processes, SQL, and relational databases
9. Experience with data manipulation libraries (e.g. Pandas, better Polars)
10. Basic experience with (Dev)Ops tools (e.g. Docker, Terraform)
11. Ability to write clean, maintainable, and testable code following best practices like SOLID, TDD, GoF Design Patterns, etc
We're also on the look for talented Senior level candidates with:
12. 5+ years of experience in data engineering
13. Advanced expertise in Python programming, including object-oriented and functional paradigms
14. Proven experience designing and maintaining production-grade data pipelines
15. Strong grasp of data governance, security, and compliance best practices
16. Leadership skills with the ability to mentor junior colleagues