Systems Business Quality Manager - Data Specialist (m/f)

Job description

Job Description: Airbus Commercial Aircraft is looking for a Systems Business Quality Manager - Data Specialist (m/f) to join our Quality Engineering team based in Toulouse, France. You will join a multidisciplinary and transnational team playing a crucial role in the validation and certification of embedded systems. We are looking for a motivated candidate eager to accelerate our performance through data and support Business Quality Managers. Your working environment: Global capital of aeronautics and European capital for space research, Toulouse is a dynamic city in the southwest of France served by an international airport. Ideally located between the Mediterranean sea and the Atlantic ocean and close to the Pyrenees mountains, it offers plenty of options for outdoor activities! How we care for you: Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. Work / Life Balance: Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application. Individual development: Great upskilling opportunities and development prospects with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. 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. Your challenges: Analyze system development processes to identify repetitive, low-value tasks suitable for automation. Design and develop algorithms and AI solutions to automate tasks and optimize workflows. Facilitate data-driven problem solving and mitigate design issues through DFMEA facilitation. Support Process Assurance Reviews within the frame of systems developments. Capture lessons learned to continuously enhance quality standards and prevent design issues. Your boarding pass: Background in engineering or technical data analysis. Experience in data analysis and the aeronautics industry. Proficiency in programming languages, particularly Python and its associated libraries. Autonomous and proactive mindset with strong analytical and problem-solving skills. Great team player with excellent communication skills in a transnational environment. Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions. Take your career to a new level and apply online now! #LI-CA1 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. Company: Airbus Operations SAS Employment Type: Permanent------- Classe Emploi (France): Classe F11 Experience Level: Professional Job Family: Quality Assurance By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. 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 emsom@airbus.com. 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.