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Data Management Specialist

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Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Munich
  • Working Model
    Onsite
  • Job Summary

    In this role, you will develop AI-driven solutions, extract and integrate data, design and monitor data pipelines, and conduct controlled experiments to validate models.

    Your role in the team

    • Understand business requirements and translate them into IT solution-oriented programs, such as static or machine learning as well as AI solutions.
    • Collaborate with the project team to extract and integrate structured and unstructured data from various sources.
    • Collaborate closely with the project team to develop scalable data pipelines and ensure an efficient data flow for model training and evaluation.
    • Analyze data properties and apply scientific methods to propose or develop solutions using statistical, machine learning, or AI techniques.
    • Design and conduct controlled experiments to identify and validate optimal solutions.
    • Implement solutions using state-of-the-art algorithms and proven software development practices.
    • Create monitoring protocols to ensure that the models meet the evolving business requirements.
    • Contribute to the development and reusability of solutions for automation and scalability (productization) in projects.
    • Share best practices, insights, and techniques with the broader data community.
    • Ensure compliance with all external and internal regulations and standards.
    • Responsible development of solutions in accordance with Airbus's ethical AI principles.

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    Our expectations of you

    Education

    • Successfully completed degree in Computer Science, Data Science, Business Informatics, Mathematics, Physics, or a comparable quantitative field.

    Qualifications

    • Strong skills in statistical data analysis and handling unstructured as well as structured data.
    • Solid knowledge of modern software development processes, including version control.
    • Strong communication skills and proactive action.
    • Fluent in German and English.

    Experience

    • Extensive professional experience (depending on seniority 3-5+ years) in the development and operationalization of machine learning and AI models, ideally in an agile project environment.

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    What we offer

    • Attractive compensation and special payments.
    • 30 days of vacation and additional days off for special occasions.
    • Excellent training opportunities and great international, company-wide development prospects.
    • Special benefits: employer-funded retirement plan, employee stock options, discounted car leasing, special rates for insurance, subsidies for public transportation, employee discounts at partner companies.
    • On-site facilities: nearby kindergarten, doctor for check-ups and other health-related services, canteen and cafeteria, fitness studio.
    • Work-life balance (job sharing, part-time models, flexible working hours, individual leave).
    • Working in a diverse environment with over 140 nationalities, where every voice is heard.

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

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    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    Airbus Deutschland GmbH

    Airbus Deutschland GmbH

    Airbus is the world's leading provider of air and space transportation, as well as related services.

    Description

  • Language
    English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Vehicle Manufacturing, Supplier, Industry, Production
  • Dev Reviews

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    Total

    (1 Review)
    3.3
    • Career Growth

      3.2
    • Engineering

      2.8
    • Workingconditions

      4.0
    • Culture

      3.5
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    Logo Airbus Deutschland GmbH

    Data Management Specialist

    Location
    Munich
    Working Model
    Onsite
    Diversity
    Open for all genders

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