Internship Database Structuring & AI Preparation (f/m/x)

Your role

We are looking for a motivated student to support the restructuring and optimization of our SQL database. The current database contains valuable technical and troubleshooting information, but its structure is not fully organized, limiting its usability and analytical potential. 

This project will focus on improving data organization, standardizing troubleshooting information, and preparing the database for future AI-based analysis. The technical platform grouping will be provided; however, additional focus will be placed on identifying relevant technical leads associated with each platform. 

Time period for internship: June-September

Key Responsibilities 

• Analyze and understand the current SQL database structure 

• Reorganize and standardize database tables and relationships 

• Implement provided technical platform groupings within the database 

• Identify and map technical leads for specific platforms 

• Clean, normalize, and optimize troubleshooting data 

• Improve data consistency and usability for future reporting and analysis 

• Document the updated database structure and data logic 

• Prepare the dataset for AI-driven analysis (e.g., trend detection, recurring issue identification) 

• (Optional / Bonus) Support initial exploration of AI tools to extract insights from troubleshooting data 

To succeed, you will need

• Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field 

• Intermediate knowledge of SQL and relational databases 

• Strong analytical and problem-solving skills 

• Interest in data organization, data quality, and structuring complex datasets 

• Ability to work independently with a structured approach 

• Familiarity with Python or data analysis tools is a plus 

• Interest in AI / machine learning is a plus 

In return, we offer

• Hands-on experience with real-world, unstructured technical data 

• Exposure to database structuring in an industrial/technical environment 

• Experience working with troubleshooting datasets and technical platforms 

• Introduction to preparing data for AI and advanced analytics use cases 

• Opportunity to contribute to a project with clear business impact 

Job location

This role offers a hybrid working arrangement, allowing you to split your time between working remotely and being on-site at our office in Cologne, Germany (DE).

Contact information

 Talent Acquisition Team: Linnea Hendus