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Data & Digitalisation Engineer at the Airspace Customer Definition Centre

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Airbus

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Location:
Germany , Hamburg

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • Master's or Bachelor's degree in IT, Computer Science, Data Science, Engineering with a specialisation in Data/AI, or a related field
  • 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
  • Fluent English (written and spoken)

Nice to have:

  • Experience with data visualisation tools, cloud platforms (e.g., AWS, GCP), and version control systems (Git or SSM)
  • Knowledge of Google Cloud products
What we offer:
  • Work-life balance with a 35-hour week (flexitime)
  • International environment with the opportunity to network globally
  • Work with modern/diversified technologies
  • Opportunity to participate in the Generation Airbus Community to expand your own network

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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