ThalesWerkstudent (m/f/d) Data Engineering & AI for Radar
Thales is hiring a Werkstudent (m/f/d) Data Engineering & AI for Radar. Level rates it ; you can apply on Level.
Level's read on this job
- Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Python, SQL and Git.
- Level files it as an internship.
- Level lists 2,900+ other open roles at Thales.
AI in this role
Develop data management solutions, pipelines, and machine learning workflows for radar systems engineering as a working student.
We Say HI*
Werkstudent (m/f/d) within Radar Systems Engineering department in the Domain Surface Radar (SRA) at Thales site in Ditzingen #LI-HYBRID (Ref. Nr. R0336402)
Thales in Germany is part of an internationally leading technology group in the defence and security, aerospace as well as cyber security and digital identity markets.
Your mission as "Werkstudent (m/f/d) within Radar Systems Engineering department in the Domain Surface Radar (SRA)":
- Developing radar data management solutions for machine learning and testing use cases
- Developing and optimizing data pipelines in Python, including the integration of signal processing steps
- Implementing data transformation and quality assessment processes, e.g. anomaly detection using machine learning
- Developing new data pipelines for AI training, with opportunities to work on data collection and visualization
- Working independently on a defined subproject with creative freedom and technical mentoring from an experienced engineering team
We are looking forward to:
- Student in Computer Science, Electrical Engineering, Physics, Mathematics, or a comparable field
- Basic programming experience in Python, basic familiarity with SQL, Git, CI/CD and containerization tools are advantageous
- Practical experience in working with data (e.g. in machine learning or visualization tasks)
- Interest in learning software engineering and radar fundamentals.
- Personally you enthuse with analytical thinking and a structured approach to problem solving.
The Group invests more than €4,5 billion per year in Research & Development in key areas, particularly for critical environments, such as Artificial Intelligence, cybersecurity, quantum and cloud technologies.
In 2025, the Group generated sales of €22.1 billion.
For our more than 85,000 employees in 65 countries we open up visionary perspectives, realise individual career paths and enable creative freedom. This is achieved with courage, versatility and the firm intention to make the demanding challenges of our time safer and more inclusive. With our sustainable value-focused management we support diversity actively.
Say HI* – Your journey to us
At times of change our international teams are ready to meet the complexity of today with the industry-leading technologies of tomorrow. Will you be part of it? Your Talent Acquisition contact Lena Nagel is looking forward to your online application.
Lena Nagel – Talent Acquisition Partner #LI-LN1
+49715630210209
*Human Intelligence
How we rate this
Werkstudent (m/f/d) Data Engineering & AI for Radar at Thales rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where signal processing was part of your work. What did you do?
- Tell me about a project where anomaly detection was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, Machine learning, Signal Processing, Anomaly Detection, and Data Pipelines. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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