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.