Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
From 11,511 similar postings that came down. Coming down is not always a hire.
Werkstudent Data Engineering & AI for Radar
Ditzingen, Germany
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Job title: Werkstudent (m/f/d) Data Engineering & AI for Radar
What you’ll work on
Full postingDevelop radar data management solutions for machine learning and testing
Develop and optimize Python data pipelines, including signal processing steps
Build data transformation and quality checks, such as ML-based anomaly detection
Build new data pipelines for AI training, including data collection and visualization
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- Student in Computer Science, Electrical Engineering, Physics, Mathematics or a comparable field
- Basic programming experience in Python
- Practical experience working with data, e.g. in machine learning or visualization
- Interest in learning software engineering and radar fundamentals
Preferred experience
- Basic familiarity with SQL, Git, CI/CD and containerization tools
Qualification wording
Student in Computer Science, Electrical Engineering, Physics, Mathematics, or a comparable field
Basic programming experience in Python
Practical experience in working with data (e.g. in machine learning or visualization tasks)
Interest in learning software engineering and radar fundamentals
basic familiarity with SQL, Git, CI/CD and containerization tools are advantageous
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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
- 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)
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 5, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 7, 2026
- Employer says posted
- Oct 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Thales is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
Check the employer’s posting for the current role and application details.
Applying through Phenom
- Phenom runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Location: DITZINGEN SRA OME, Germany
We Say HI*
Werkstudent (m/f/d) Data Engineering & AI for Radar 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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Ditzingen, Germany
Werkstudent (m/f/d) Data Engineering & AI for Radar 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting