Senior Data Engineer - Airline Operations Intelligence

Job Description:

Responsibilities - your mission

This position is in the Airline Operations Intelligence team whose main mission is to gather airline operational data from multiple sources, transform and augment it. It is then delivered to the Airbus internal departments such as aircraft program, engineering, marketing and strategy either as data products, or as reports or as dashboards. The quantity of data is in the big data perimeter with billions of data lines being analyzed.

• Your contribution will need to be perfectly in line with the project guidelines and ways of working.
• You will create/maintain/optimise data pipelines, respecting state of the art practice.
• You will create/maintain/optimise BI dashboards
• You will create/maintain/optimize AI agents.
• Most of your developments will be done on the Skywise/Palantir Foundry platform.
• This role requires a very good understanding of distributed computations, data architecture and state of the art data engineering.
• You will be joining a team of developers organised in Agile Scrum.
• Your initiatives, reliability and ability to drive the project with your colleagues will determine your responsibilities and scopes over the years as we are flexible with these

Requirements - our ideal candidate will have

• A master degree in engineering or computer science.
• Several years (3+) of working experience as a data engineer with proven records of enormous data volume manipulation.
• Excellent level in Python, pySpark and distributed computation.
• Excellent understanding of AI solutions
• Good understanding of time series processing
• Qualifications/experience/knowledge of the airline industry is a major advantage.
• Qualifications/experience/knowledge of data science is a major advantage.
• English must be fluent.
• We are looking for a candidate that is reliable and delivers without multiple reminders, that we can trust in sharing success but also difficulties and mistakes, that is willing to drive and take initiatives and share their knowledge. We are also looking for someone that values colleagues for their strengths. We also value very much the behaviour in a team including ability to contribute to a nice to work in atmosphere, to help colleagues and constructively push the team to improve.

Benefits - what’s in it for you

• The chance to work in a multicultural environment.
• The opportunity to grow your skills and capabilities thanks to our Airbus learning offer (digital solutions, classroom sessions, certified training....) and career opportunities across the globe.
• A hybrid working model, allowing you to combine onsite and offsite work.
• A modern office at Parque das Nacoes, well connected to public transportation.
• A motivated and fun crew to grow and build and shape the GBS together.
• An intense and exciting onboarding experience.
• Work in a balanced environment: Beyond the many benefits offered to its employees, joining Airbus is also the guarantee of a respectable work-life balance. At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

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Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to [email protected].

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.