Job Title
APPRENTICESHIP - Data Engineering (24M )
Amadeus. It's How Travel Works Better.
We are a team of 16,000 professionals and 150 nationalities, working together to transform travel. We make the experience of travel better for everyone, everywhere by inspiring innovation, partnerships and responsibility to people, places, and planet.
Working with us in Nice, France
This office is exceptionally multicultural, with more than 4000 people of around 97 nationalities working together. To get the best from our people we have created a work environment that promotes innovative ways of working and a better work-life balance.
Go Explore. Go Together. Make a difference.
Summary Of The Activities
Join a dynamic team where you will contribute to developing innovative solutions to
simplify the journey for millions of travelers each year. Enjoy a
rewarding first experience in Data Science and/or Machine Learning, tailored to your academic background and skills. Become part of a
multicultural English-speaking team, where you will have the opportunity to
learn while making a significant contribution to the team's projects. This is a unique chance to
enhance your skills and be part of an exciting professional adventure.
Amadeus Revenue Management (RMS) determines optimal availabilities to maximize airlines' revenue. The three main components are the yield generation, the demand forecast and the optimization.
Abracadata team designs and deploys all the RMS big data flows which includes the data preparation and the data transformation to serve both external and internal data needs.
As example, we are currently preparing the result of the forecast to feed Performance analysis cockpit and Root Cause Analysis cockpit that aim to enable efficient RM analysis linking results to action and vice-versa.
As Data Engineer in Abracadata, your main missions with be to develop the applications (Spark) that read, transform and write the data, and the scripts (Python) that launch the application. You should also be comfortable to work on Microsoft Azure Databricks environment.
Your Profile
If you are a
tech-passionate student in computer science, database management, machine learning, applied mathematics, or similar, with strong English skills, this opportunity is for you. Ideal candidates have experience or knowledge in
software development, database administration, business intelligence, or machine learning, and are familiar with technologies like
Hadoop, Spark, Scala, Hive, Python, and various databases. Agile methodology knowledge is a plus.
We seek individuals with an
analytical mindset, eager to deliver top solutions,
learn daily, and thrive in a dynamic, multicultural setting. If you are keen on making a significant impact and pushing technological limits, we encourage you to apply and help us transform global travel.
What We Can Offer You
- Join a top 10 global software company for growth and innovation.
- Impact millions of travelers with complex problem-solving.
- Enhance skills and innovate with leading IT experts.
- Be part of a 16,000-strong multicultural team and improve English-speaking skills.
- Connect in a community of 200+ international students for networking and collaboration.
- Get transportation allowance for a smoother commute.
- Access ski resorts, spas, gym memberships, concerts, and more with “company committee” activities. (CSE)
- Benefit from diverse sports facilities to maintain an active lifestyle.
- Receive comprehensive relocation support for Nice offices (for students outside 06/83).
Embrace this chance to
elevate your career,
broaden your horizons, and
join a community where
your work truly makes a difference.
Diversity & Inclusion
Amadeus aspires to be a leader in Diversity, Equity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
