VIE - Germany - Data & Digitalisation Engineer at the Airspace Customer Definition Centre

The Airspace Customer Definition Centre (CDC) in Hamburg is a world-class location where airlines and leasing companies can explore any conceivable cabin interior option for their new Airbus aircraft. We are at the forefront of defining the future of commercial aircraft interiors, and we are looking for a highly motivated Early Career Engineer to support our digital transformation and enhance the customer experience through data and innovative technologies., 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

• Work-life balance with a 35-hour week (flexitime).
• International environment with the opportunity to network globally.
• Work with modern/diversified technologies.
• At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
• Opportunity to participate in the Generation Airbus Community to expand your own network.

Your tasks and responsibilities

As an early career Data & Digitalisation Engineer (d/f/m), you will be instrumental in leveraging data science and IT expertise to enhance the efficiency, insight, and presentation capabilities of the CDC.

• Digitalisation of Customer Experience: Develop and implement digital solutions (e.g., interactive dashboards, data visualisation tools) to improve how customers explore and define their aircraft cabin interiors.

• Data Structuring and Management: Support the definition and implementation of a robust data architecture for the CDC, ensuring data quality, accessibility, and structured storage for all configuration options, customer preferences, and mock-up data.

• Analytics and AI Implementation: Apply data science and machine learning techniques (e.g., predictive modelling, recommendation systems) to extract valuable insights from customer definition data, optimising the CDC's offering and process.

• Programming and Tool Development: Develop, test, and maintain internal tools and scripts (e.g., in Python, Javascript, or equivalent) to automate reporting, data analysis, and preparation of customer-specific digital assets.

• Support Digital Infrastructure: Work closely with the IT team to maintain and evolve the digital backbone supporting the CDC's operations, including data pipelines and cloud environments.

• Contribute to Innovation: Proactively identify and propose new technologies (e.g., AR/VR integration, advanced display technologies) to continuously improve the Customer Definition journey..

You are a highly motivated graduate and want to get to know the work of a Data & Digitalisation Engineer (d/f/m)? Then apply now! We look forward to you supporting us at the Airbspace Customer Definition Centre (CDC) as a Volunteer for International Experience.

Be a key enabler for data-driven decision-making, working across technical and customer-facing teams to transform raw data into actionable insights and engaging digital experiences., The Volunteer for International Experience (VIE) program is an international program sponsored by the French Ministry of Economy, Finance and Employment, open to Airbus to offer young professionals the opportunity to have valuable paid work experience abroad in a technical or business function. We are looking for highly motivated graduates aged 18 to 28 years, who are citizens of the European Union (all E.U. nationals, plus Norway, Iceland and Liechtenstein). Candidates meeting these criteria and interested in a VIE, please register before your 28th birthday on the website www.civiweb.com. For graduates who would be interested in a career with Airbus, this could be the start of a rewarding future in a dynamic and forward-thinking sector., * Educational Background: A Master's or Bachelor's degree in IT, Computer Science, Data Science, Engineering with a specialisation in Data/AI, or a related field.

• Technical Expertise (essential):
• Proficiency in programming languages (e.g., Python, JavaScript, C-sharp).
• Solid understanding of data structuring, database management (SQL/NoSQL), and data warehousing concepts.
• Familiarity with data science methodologies, statistical analysis, and machine learning principles.
• Digital Skills (desirable): Experience with data visualisation tools, cloud platforms (e.g., AWS, GCP), and version control systems (Git or SSM). Knowledge of Google Cloud products would be a plus.
• Character: A curious, energetic, and autonomous team player with a passion for innovation and continuous learning.
• Language: Your English is fluent (written and spoken)., 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.