Working Student - Data & AI Engineering (f/m/d)
Frankfurt am Main
What you’ll work on
Full postingYou will support the implementation and evolution of our Data Mesh architecture and data platform strategy
You will support the development of scalable and reusable data products for business domains
You will perform data analysis and contribute to reporting and dashboarding initiatives
From the employer’s posting
Your Responsibilities: You will support the implementation and evolution of our Data Mesh architecture and data platform strategy You will assist in the design, development, and maintenance of data pipelines using Databricks and cloud-native technologies
You will help integrate, transform, and validate data from multiple source systems You will support the development of scalable and reusable data products for business domains You will perform data analysis and contribute to reporting and dashboarding initiatives
You will support the development of scalable and reusable data products for business domains You will perform data analysis and contribute to reporting and dashboarding initiatives In addition, you will assist in monitoring and improving data quality, data governance, and metadata management processes and supporting on AI use cases
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.
Pay, work setup, and employment type unconfirmed
Not confirmed in this saved copy: pay, work setup, employment type. Check the full posting
Tools in this posting
- python
- sql
- databricks
Source — Tool mentions in context
Our team is driving the transformation towards a modern, data-driven organization by building scalable data products, enabling advanced analytics, and implementing a Data Mesh operating model. We are implementing a robust and future proof DataMesh on GCP Cloud technology and analytics capability on Databricks solutions that empowers business users with high-quality, accessible data. As an working student (f/m/d) you will support the team in the X7 – Clearing DEV department significantly in Data Mesh implementation and AI solutioning.
- You will support the implementation and evolution of our Data Mesh architecture and data platform strategy - You will assist in the design, development, and maintenance of data pipelines using Databricks and cloud-native technologies - You will help integrate, transform, and validate data from multiple source systems
- You have strong interest in Data Engineering, Analytics, Cloud Technologies, AI and Modern Data Architectures - You have basic knowledge of SQL and relational databases - You have first experience with Python or another programming language
- You have basic knowledge of SQL and relational databases - You have first experience with Python or another programming language - You have strong analytical and problem-solving skills.
Find answers in the posting
AIAlready applied? Track this application
About applying
Apply opens the employer’s site in a new tab. Add your outcome here after you submit.
Source details & eligibility
Before you apply
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
Frankfurt am Main
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
Posting history
- Status in our records
- Active
- First seen by us
- Sep 7, 2026
- Recorded sightings
- 3
- Last seen by us
- Sep 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorJob description
Your area of work
Our team is driving the transformation towards a modern, data-driven organization by building scalable data products, enabling advanced analytics, and implementing a Data Mesh operating model.
We are implementing a robust and future proof DataMesh on GCP Cloud technology and analytics capability on Databricks solutions that empowers business users with high-quality, accessible data.
As an working student (f/m/d) you will support the team in the X7 – Clearing DEV department significantly in Data Mesh implementation and AI solutioning.
Your Responsibilities:
- You will support the implementation and evolution of our Data Mesh architecture and data platform strategy
- You will assist in the design, development, and maintenance of data pipelines using Databricks and cloud-native technologies
- You will help integrate, transform, and validate data from multiple source systems
- You will support the development of scalable and reusable data products for business domains
- You will perform data analysis and contribute to reporting and dashboarding initiatives
- In addition, you will assist in monitoring and improving data quality, data governance, and metadata management processes and supporting on AI use cases
- Furthermoren, you will create and maintain technical documentation and process documentation and collaborate closely with Data Engineers, Data Architects, Product Owners, and Analytics teams in an agile environment
Your profile:
- You are currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a related field
- You have strong interest in Data Engineering, Analytics, Cloud Technologies, AI and Modern Data Architectures
- You have basic knowledge of SQL and relational databases
- You have first experience with Python or another programming language
- You have strong analytical and problem-solving skills.
- You have ability to work independently and collaboratively in an international team environment
- You are fluent in written and spoken English
Start date: 15/10/2026