Apprenticeship - Data Engineer at Amadeus
Nice, Provence-Alpes-Côte d'Azur, France -
Full Time


Start Date

Immediate

Expiry Date

14 Jun, 26

Salary

0.0

Posted On

16 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Pipelines, ETL, Data Quality, Data Consistency, Data Reliability, Data Storage, Scalable Data Systems, Data Engineering, Machine Learning, Analytics, English Proficiency

Industry

IT Services and IT Consulting

Description
Job Title Apprenticeship - Data Engineer What about us? Amadeus. It’s how travel works better. We are a global team of 20,000 team members across 100+ locations. We make travel better for everyone, everywhere by fostering innovation, building partnerships, and acting responsibly toward people, places, and the planet. Working with us in Nice, France Our Nice office is exceptionally multicultural, with more than 4,500 people and 90+ nationalities working together. We’ve created a collaborative work environment that supports innovative ways of working and promotes a healthy work-life balance. What about your future mission? Role Overview We are looking for a Data Engineer with interest in scalable data systems. You’ll support the development of adaptable and dependable data pipelines that collect, process, and store high-volume data. Your work will help make data accessible for analytics, machine learning, and decision-making. Key Responsibilities Design and maintain data pipelines and processes for extracting, transforming, and loading data (ETL) Integrate structured and unstructured data from multiple sources Work closely with data scientists, analysts, and engineers to enable data-informed solutions Support data quality, consistency, and reliability across systems Improve data storage and access to support system efficiency About the ideal candidate You're looking for an apprenticeship (1- to 3-year contract where student alternate between academic courses at their school/university and hands‑on professional experience within the company.) You are currently enrolled in an engineering master degree or equivalent. You have good proficiency in English You enjoy solving problems and building efficient solutions You are interested in learning and development You thrive in a collaborative and inclusive environment Application process You are applying to a generic offer. If you are selected for a first interview, our School Relations team will contact you to better understand your interests and skills. This will help us match you with the most suitable opportunity and connect you with the appropriate manager. Diversity & Inclusion Amadeus aspires to be a leader in Diversity 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. Amadeus endeavors to make https://jobs.amadeus.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process for Amadeus France, please contact us at accommodations.france@amadeus.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. We are Amadeus and we make travel work better for everyone, everywhere. As part of our global team of 20,000+ passionate team members across 100+ locations, you’ll join a community united by a love for travel and technology. We’re not just shaping the future of travel; we’re using it as a force for good, enriching lives and supporting our planet. Here, you’ll be free to innovate and grow with driven colleagues. Join us on a journey where you will help us bring the world closer!

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Responsibilities
The role involves supporting the development of adaptable and dependable data pipelines responsible for collecting, processing, and storing high-volume data to facilitate analytics and decision-making. Key tasks include designing and maintaining ETL processes, integrating diverse data sources, and collaborating with data science teams to ensure data quality and system efficiency.
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