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O

Data Analyst - Airbus-Related Programs

Orbital Critical Systems (Grupo CAF)

Hamburg, Germany পূর্ণকালীন

প্রথম আবেদনকারী হোন।

অভিজ্ঞতা
যেকোনো
বেতন
EUR 60,000 – EUR 70,000 / year
শূন্যপদ
1
পোস্ট করা হয়েছে
১ ঘন্টা আগে
Work mode
অফিসে
শিক্ষা
B.Tech
Eligibility
Candidates with a relevant degree and the right to work as European citizens, who meet the language requirements and can work on-site in Germany, may apply.
Resume
Required to apply

Where you'll work

কাজের বিবরণ

Role Overview

Orbital Critical Systems, part of the CAF Group, develops safety-critical software for aerospace, defence, and transport. The company is hiring Data Analysts to work on-site in Germany on data-focused Airbus-related aerospace and defence initiatives.

The position is based in the Finkenwerder and Hamburg area.

What Makes This Opportunity Attractive

  • Competitive annual compensation in the range of €60,000 to €70,000.
  • Help with housing search and German language learning.
  • Complete relocation support, including administrative assistance.
  • The employer will handle the German tax return process for the first year.
  • Permanent German employment contract tied to long-term projects.
  • Team-building events and regular technical check-ins.
  • An international, diverse, and innovation-oriented workplace.

Key Responsibilities

  • Investigate and build inverse-design approaches using data-centric and machine-learning techniques to speed up advanced materials development.
  • Translate performance targets into material configurations that reduce repeated optimisation work.
  • Identify, design, and present research initiatives in composite materials and coating technologies that support the Central Research & Technology roadmap.
  • Carry out research and development activities independently within a global, cross-border organisation.
  • Work closely with universities, academic institutions, industrial collaborators, research organisations, and start-ups.
  • Engage with the wider materials and surface-technology community to stay at the forefront of inverse-design methods.

Candidate Profile

  • A degree in Materials Science, Physics, Mechanical Engineering, Aerospace Engineering, Data Science, or a closely related discipline.
  • Hands-on experience or strong enthusiasm for data-driven modelling, machine learning, or inverse-design techniques.
  • Practical knowledge of composite materials and/or coating technologies is a strong advantage.
  • Ability to work with Python, perform data analysis, and use scientific computing tools.
  • Advanced English proficiency at C1 level is required.
  • German language knowledge is beneficial.
  • Applicants must be citizens of a European country.

Additional Information

This is a full-time on-site role in Germany with permanent local employment terms and long-term project involvement.

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