Data Engineering & Digitalization Intern (Werkstudent)

Quick Facts

• Role: Data Engineering & Digitalization Intern (Werkstudent)
• Focus: Reporting/Analytics data foundation, data connectivity, data models, data flows, data quality
• Tools: Strong preference for Microsoft Power BI (technical design still open)
• Schedule: Up to 20 hours/week, flexible with study; regular on-site days in Nördlingen; mobile work possible (Nördlingen/Munich)

Description

You’ll build the technical foundation for a company-wide reporting and analytics platform, with a strong emphasis on data connectivity, data structures, data models, data flows, and data quality. Your work will support Controlling and business teams by preparing and delivering data from ERP, DMS, and other systems for reports and analyses. The role also supports tool evaluation and rollout (with preference for Microsoft Power BI), digitalization/process automation, and technical testing of relevant AI/Copilot use cases.

Responsibilities

• Support the technical setup of a central data structure as the base for reporting and analytics.
• Identify, analyze, and technically connect relevant data sources, especially from ERP and DMS.
• Extract, transform, structure, and provide data for Controlling and departmental teams.
• Help build understandable data models and automated, repeatable data flows.
• Assist with ensuring data quality, data consistency, and technical traceability.
• Document data sources, interfaces, transformations, and technical solutions.
• Support the selection, introduction, and technical development of Data & Analytics tools (currently preferring Microsoft Power BI).
• Contribute to digitalization and process automation projects, e.g., with Microsoft Power Platform.
• Support technical testing of practical AI and Copilot use cases.

Requirements

• Currently enrolled student in a relevant program (e.g., Computer Science, Business Informatics, Data Science, Data Engineering or similar).
• Interest in data architectures, data integration, Business Intelligence, digitalization, and AI.
• First knowledge of SQL and relational databases and/or data modeling.
• Ideally some hands-on experience with Power BI, Microsoft Fabric, Python, ETL, and/or APIs.
• Analytical, structured working style; able to document technical connections clearly.
• Independent, careful, proactive, and team-friendly working behavior.
• Very good German and English proficiency.
• Up to 20 hours/week availability and regular on-site presence in Nördlingen.

Benefits

• Practical, hands-on tasks with direct business value.
• Exposure to Data & Analytics, ERP, document management, process automation, Microsoft 365, and AI.
• Autonomous tasks in an open and supportive culture.
• Flexible hours aligned with your studies; mobile work and flexible options between Nördlingen and Munich.