About us Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide. Job description At Airbus Aerostructures, we stand for highly efficient and sustainable aircraft production. This is at the heart of Airbus. With around 10,000 employees, we combine technology and innovation leadership to pioneering efficient and sustainable aircraft production and to make zero-emission flight a reality. Airbus Aerostructures includes four production sites in Germany: the headquarters in Hamburg with three other plants in Nordenham, Bremen and Stade where work goes on today on the aerostructures of tomorrow's aircraft. Are you interested in technology, love teamwork and enjoy working close to aircraft? Then apply now! Your host department Manufacturing Technologies in Plant Hamburg is a multidisciplinary organization in charge of aircraft assembly technologie, processes and digitalization (eg: semi- and fully automated machines, smart tools, robotics, systems installation). As a Data Analyst in the Manufacturing Technologies you will join the Assembly Technology Digitalization department. The mission of this team is to unleash the big opportunity offered by the sheer amounts of data that our machines, robots and tools are able to deliver. Our challenge is to support Airbus Aerostructures in the digital transformation journey. Your location You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy. Your benefits - Attractive salary and special payments - 30 days holidays and extra days-off for special occasions - Excellent upskilling opportunities and great international, group wide development prospects - Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, transportation subsidy, employee benefits at cooperating companies - On-site-facilities: Kindergarten close to the site, medical officer for check-ups and other health-related services, canteen and cafeteria - Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout) - Working in a diverse environment, with more than 140 nationalities, where every voice is heard Your tasks and responsibilities - Handle ingestion, processing and monitoring of data pipelines for our analytics platform and KPIs/dashboards. - Support data science, data enrichment and data analysis as well as making data operationally available to be consumed by customers, products and services. - Understand shopfloor context and bring it into our analytics platform’s continuous development. - Development of front-end user interface (pipeline monitoring, data display, dashboarding) - Communicate with involved colleagues to generate and refine ideas. - Ability to inspire colleagues for new tech solutions and effectively acquire and translate user requirements into technical specifications to develop automated data pipelines to satisfy business demands. Desired skills and qualifications - Degree in Computer Sciences, information technology or related fields - Several Years of relevant work experience - Experience in database management with SQL (preferred PostgreSQL) - Experience with the programming languages Python and Javascript as well as with data analytics packages in Python (e.g. pandas) - Able to work with version control (GIT) - Clear and transparent communication both oral and written, ability to present complex topics to non-technical audiences. - Multi-tasking and prioritization skills. - Fluent in German and English Ideally you also bring: - Good CI/CD practices - Experience with a web framework. - Experience in machine learning with python (e.g. scikit-learn, pytorch) 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 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. 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.
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