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Working student: Big Data Engineer

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GMV

2mo ago

  • Internship
    Full-time
    Placement Program
  • Data
    IT & Cybersecurity
  • Darmstadt

AI generated summary

  • You should be pursuing a relevant degree, have AI/ML knowledge, programming skills in Python/R, problem-solving abilities, teamwork skills, and experience with data manipulation/visualization.
  • You will collaborate with the AI and Big Data team on innovative projects, gaining hands-on experience while balancing your academic studies in a dynamic environment.

Requirements

  • We are looking for Bachelor's or Master's degree students in Computer Science, Statistics, Mathematics, Engineering, or related field. If you want this position to be yours, you should have:
  • Good understanding of fundamental concepts in artificial intelligence, machine learning and data science
  • Knowledge in programming languages such as Python or R and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Problem-solving skills and ability to think creatively to develop innovative solutions
  • Effective communication skills and ability to work collaboratively in a team environment
  • We will also value previous experience with data manipulation and analysis using e.g. pandas, or similar tools. Prior experience with data visualization techniques (e.g., Matplotlib) as well as knowledge in software development on cloud platforms are a plus.

Responsibilities

  • In our team you will work closely with our team on innovative and real-world industrial projects.
  • You will join our AI and Big Data team in Darmstadt, where you have the unique opportunity to gain hands-on experience in a dynamic and collaborative environment while pursuing your academic studies.

FAQs

What is the main focus of the role for the Working Student: Big Data Engineer?

The main focus of the role is to work on innovative and real-world industrial projects in the AI and Big Data sector, specifically within the ESA projects team in Darmstadt.

What academic qualifications are required for this position?

We are looking for Bachelor's or Master's degree students in Computer Science, Statistics, Mathematics, Engineering, or a related field.

What programming languages should candidates be familiar with?

Candidates should have knowledge of programming languages such as Python or R, along with familiarity with relevant libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.

Is previous experience in data manipulation necessary for this role?

While not mandatory, previous experience with data manipulation and analysis using tools like pandas, as well as data visualization techniques such as Matplotlib, is valued.

Will there be opportunities for full-time employment after the internship?

Yes, there are real possibilities for candidates to continue with us once the internship is over, facilitating their professional career development.

What benefits are offered to working students in this position?

Benefits include total flexibility to balance the internship with academic studies, high financial assistance for studies, free fruit and coffee in the canteen, and opportunities to participate in team activities and sports competitions.

How does the recruitment process work?

Recruitment processes involve telephone and personal contact with our talent acquisition team, whether face-to-face or online.

Is there a commitment to diversity and inclusion in the hiring process?

Yes, we promote equal opportunities in recruitment and are committed to inclusion and diversity.

Who can I contact if I have questions about the vacancy?

Any questions regarding this vacancy can be directed to Konstantin Uhl, who is in charge of this position.

Are there any specific skills or characteristics that are particularly valued?

We value problem-solving skills, creative thinking for innovative solutions, and effective communication skills to work collaboratively in a team environment.

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GMV

Passion for challenges, an opportunity for innovation

Engineering & Construction
Industry
1001-5000
Employees
1984
Founded Year

Mission & Purpose

GMV is a privately owned technological business group with an international presence. Founded in 1984, GMV offers its solutions, services and products in very diverse sectors: Aeronautics, Automotive, Banking and Finances, Cybersecurity, Space, Defense and Security, Healthcare, Intelligent Transportation Systems, Telecommunications, and ICT for Public Administration and large corporations. Our goal is to support our client's processes by dint of technologically advanced solutions, providing integrated systems, specialized products and services covering the whole life cycle. These range from consultancy and engineering services up to the development of software and hardware, the integration of turnkey systems and operational backup.