📍 Job Overview

Job Title: Werkstudent (m/w/d) Cloud Data Integration & Analytics
Company: REHAU
Location: Erlangen, Germany
Job Type: Part-Time (20 hours/week, flexible up to 37.5 hours during semester breaks)
Category: Data Integration & Analytics
Date Posted: July 30, 2025
Experience Level: Entry-level to 2 years
Remote Status: Hybrid (Erlangen, Germany, with the option for remote work)

🚀 Role Summary

Develop and manage data processes in REHAU's AWS environment
Actively contribute to the establishment of the Data Integration Hub on AWS
Monitor data quality and improve monitoring and alerting processes
Coordinate meetings with external partners and manage mini-projects in data integration and automation
Support the team in project conception and implementation

📝 Enhancement Note: This role offers a unique opportunity for students to gain practical experience in cloud data integration and analytics, working with modern AWS technologies and collaborating with an innovative team.

💻 Primary Responsibilities

Data Process Development & Management: Develop and maintain data processes in REHAU's AWS environment using tools such as AWS Glue, Lambda, and others.
Data Integration Hub Establishment: Actively contribute to the setup and development of REHAU's Data Integration Hub on AWS.
Data Quality Monitoring: Monitor data quality and improve monitoring and alerting processes to ensure data accuracy and reliability.
Project Coordination & Management: Coordinate meetings with external partners and manage mini-projects in data integration and automation.
Team Support: Support the team in project conception and implementation, contributing ideas and solutions to drive projects forward.

📝 Enhancement Note: This role requires strong analytical and problem-solving skills, as well as the ability to work independently and in a team environment. Familiarity with AWS services and data integration tools will be beneficial.

🎓 Skills & Qualifications

Education:

Pursuing a Bachelor's or Master's degree in (Business) Informatics, Business Administration, Data Science, or a related field.

Experience:

No professional experience required; relevant project work or internships are a plus.

Required Skills:

Proficiency in Python, with experience in data processing, automation, or cloud technologies.
Familiarity with GitHub, KNIME, Power BI, QuickSight, or Tableau is preferred but not required.
Strong analytical and problem-solving skills.
Ability to work independently and in a team environment.
Excellent communication and collaboration skills.

Preferred Skills:

Experience with AWS services, such as AWS Glue, Lambda, or others.
Knowledge of data integration and ETL processes.
Familiarity with data visualization tools and techniques.

📝 Enhancement Note: While specific tool knowledge is not required, a strong foundation in data processing, automation, and cloud technologies will be essential for success in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Data Processing & Automation Projects: Include projects that demonstrate your ability to process and automate data using Python or other programming languages.
Cloud Projects: Highlight projects that showcase your experience with cloud technologies, such as AWS, Google Cloud, or Azure.
Data Visualization & Analysis: Showcase projects that demonstrate your ability to visualize and analyze data using tools like Power BI, Tableau, or Matplotlib.

Technical Documentation:

Code Quality & Documentation: Ensure your code is well-documented and follows best practices for readability and maintainability.
Project Documentation: Document your projects thoroughly, including data sources, processing steps, and any challenges faced.
Version Control: Demonstrate your understanding of version control systems, such as Git, and how you use them to manage your projects.

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to work on real-world projects that will help you build a strong portfolio. Focus on projects that showcase your ability to process, automate, and analyze data using modern technologies.

💵 Compensation & Benefits

Salary Range:

As a Werkstudent, you will be paid an hourly wage, with the exact amount depending on your qualifications and experience. According to German law, the minimum wage for Werkstudenten is €10.80 per hour. However, REHAU may offer a higher wage based on your skills and experience.
Estimated Monthly Salary (based on 20 hours/week): €864 - €1,296 (before taxes)

Benefits:

Mentoring: A personal mentor will guide you both technically and methodologically.
Team Spirit: You'll become a full-fledged member of an innovative team focused on driving progress.
Flexibility: Enjoy mobile work, flexible hours, and a high degree of autonomy.
Extras: On-site, you'll have access to a modern workspace, a café bar, and a canteen.

Working Hours:

20 hours/week (flexible up to 37.5 hours during semester breaks)
Working Hours: Monday - Friday, 8:00 AM - 5:00 PM (with flexible hours)

📝 Enhancement Note: While the exact salary may vary, Werkstudent positions in Germany typically offer competitive hourly wages. Be sure to research the local cost of living in Erlangen to better understand the value of the compensation package.

🎯 Team & Company Context

🏢 Company Culture

Industry:

REHAU is a global leader in polymer-based solutions, operating in the automotive, construction, and furniture industries.
Market Context: The company focuses on megatrends such as digitalization, individualization, sustainability, mobility, and new work, driving innovation in its respective markets.

Company Size:

REHAU is a large company with over 20,000 employees worldwide.
What it means for web developers and server administrators: Working at REHAU offers opportunities to collaborate with diverse teams and contribute to large-scale projects.

Founded:

REHAU was founded in 1948 and has since grown into a global company with a strong focus on innovation and sustainability.

Team Structure:

Team Size: The team you'll join, Digital Window Solutions, is part of the larger REHAU organization. The exact size of the team is not specified, but you'll work closely with other team members on data integration and analytics projects.
Reporting Structure: As a Werkstudent, you'll report directly to your mentor and work closely with the team to drive projects forward.
Cross-functional Collaboration: You'll collaborate with various teams, including external partners, to manage projects and ensure data integration and analytics processes run smoothly.

Development Methodology:

Agile/Scrum Methodologies: REHAU uses Agile methodologies to manage projects and ensure efficient collaboration between teams.
Code Review & Quality Assurance: The company emphasizes code quality and maintains rigorous review processes to ensure high standards.
Deployment Strategies: REHAU employs CI/CD pipelines and automated deployment strategies to streamline the development process.

Company Website: https://www.rehau.com/

📝 Enhancement Note: REHAU's focus on innovation and sustainability creates an exciting environment for Werkstudenten to gain practical experience and contribute to cutting-edge projects.

📈 Career & Growth Analysis

Web Technology Career Level:

As a Werkstudent, you'll gain practical experience in data integration and analytics, working with modern AWS technologies and collaborating with an innovative team.
Responsibility Scope: You'll be responsible for developing and managing data processes, contributing to the establishment of the Data Integration Hub, and improving data quality and monitoring processes.

Reporting Structure:

As a Werkstudent, you'll report directly to your mentor and work closely with the team to drive projects forward.
Technical Impact: Your work will directly impact REHAU's data integration and analytics processes, helping to improve efficiency and accuracy.

Growth Opportunities:

Technical Skill Development: Working as a Werkstudent at REHAU will allow you to develop your skills in data processing, automation, and cloud technologies, preparing you for a career in data integration and analytics.
Emerging Technology Adoption: You'll have the opportunity to work with modern AWS technologies and stay up-to-date with the latest trends in data integration and analytics.
Technical Leadership Potential: As you gain experience and demonstrate your abilities, you may have the opportunity to take on more responsibilities and eventually move into a technical leadership role.

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to grow both technically and personally, working on real-world projects and collaborating with an innovative team.

🌐 Work Environment

Office Type:

REHAU's office in Erlangen offers a modern workspace with access to a café bar and canteen.
Web Development Workspace Context: You'll have access to the necessary tools and resources to work effectively on your projects, including multiple monitors and testing devices.

Office Location(s):

Erlangen, Germany (with the option for remote work)
Accessibility: The office is located in the heart of Erlangen, with excellent public transportation connections.

Workspace Context:

Collaborative Web Development Environment: You'll work closely with your mentor and the team to drive projects forward, fostering a collaborative and innovative environment.
Development Tools: REHAU provides the necessary tools and resources for you to work effectively on your projects, including access to modern hardware and software.
Cross-functional Collaboration Opportunities: You'll collaborate with various teams, including external partners, to manage projects and ensure data integration and analytics processes run smoothly.

Work Schedule:

20 hours/week (flexible up to 37.5 hours during semester breaks)
Flexible Hours: REHAU offers flexible working hours, allowing you to balance your studies and work effectively.

📝 Enhancement Note: REHAU's modern workspace and flexible working hours create an ideal environment for Werkstudenten to gain practical experience and grow both technically and personally.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Familiarize yourself with REHAU's data integration and analytics processes, as well as the AWS services you'll be working with. Brush up on your Python skills and be prepared to discuss your relevant projects and experiences.
Portfolio Review: Prepare a portfolio showcasing your relevant projects, focusing on data processing, automation, and cloud technologies. Be ready to present your projects and discuss your approach to data integration and analytics.
Team Fit Assessment: During the interview, be prepared to discuss your teamwork skills and how you would contribute to REHAU's collaborative environment.
Final Evaluation Criteria: Demonstrate your technical skills, problem-solving abilities, and commitment to REHAU's mission and values.

Portfolio Review Tips:

Project Case Study Structure: Organize your portfolio projects by theme, highlighting your experience with data processing, automation, and cloud technologies.
Code Quality Demonstration: Ensure your code is well-documented and follows best practices for readability and maintainability.
AWS Services Demonstration: Highlight your experience with relevant AWS services, such as AWS Glue, Lambda, and others.
Performance Optimization Examples: Include projects that demonstrate your ability to optimize data processing and analytics workflows.

Technical Challenge Preparation:

Typical Data Integration & Analytics Exercise Format: Familiarize yourself with REHAU's data integration and analytics processes and be prepared to discuss your approach to optimizing data workflows and improving data quality.
Time Management: Practice managing your time effectively during technical challenges, focusing on delivering high-quality results within the given timeframe.
Communication & Technical Explanation Articulation: Be prepared to explain your technical approach clearly and concisely, both in writing and verbally.

ATS Keywords:

Programming Languages: Python, SQL, R, Java, JavaScript
Web Frameworks: AWS, AWS Glue, AWS Lambda, KNIME, Power BI, QuickSight, Tableau
Server Technologies: AWS, Google Cloud, Azure
Databases: SQL, NoSQL, AWS RDS, AWS DynamoDB, AWS Redshift
Tools: Git, GitHub, JIRA, Confluence, AWS CloudFormation, AWS CloudWatch
Methodologies: Agile, Scrum, Kanban
Soft Skills: Teamwork, communication, problem-solving, analytical thinking, time management
Industry Terms: Data integration, ETL, data warehousing, data lakes, data pipelines, data quality, data governance

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to demonstrate your technical skills and commitment to REHAU's mission and values throughout the application and interview process.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Python: Proficiency in Python is required, with a focus on data processing, automation, and cloud technologies.
AWS Services: Familiarity with relevant AWS services, such as AWS Glue, AWS Lambda, and others, is preferred.
Data Visualization Tools: Experience with tools like Power BI, Tableau, or Matplotlib is preferred but not required.

Backend & Server Technologies:

AWS Services: Proficiency in AWS services is required, with a focus on data integration, automation, and cloud technologies.
Database Integration: Familiarity with SQL and other database technologies is preferred.
Infrastructure Tools: Experience with infrastructure tools like AWS CloudFormation, AWS CloudWatch, or others is preferred but not required.

Development & DevOps Tools:

Version Control: Familiarity with version control systems, such as Git, is required.
CI/CD Pipelines: Experience with CI/CD pipelines and automated deployment strategies is preferred but not required.
Monitoring Tools: Familiarity with monitoring tools like AWS CloudWatch or others is preferred but not required.

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to work with modern AWS technologies and gain practical experience in data integration and analytics.

👥 Team Culture & Values

Web Development Values:

Innovation: REHAU emphasizes innovation and encourages team members to think outside the box and drive progress.
Collaboration: The company fosters a collaborative environment, encouraging team members to work together to achieve common goals.
Quality: REHAU is committed to delivering high-quality products and services, with a focus on continuous improvement.
Sustainability: The company is dedicated to sustainability and encourages team members to contribute to a more sustainable future.

Collaboration Style:

Cross-functional Integration: You'll collaborate with various teams, including external partners, to manage projects and ensure data integration and analytics processes run smoothly.
Code Review Culture: REHAU maintains a rigorous code review process to ensure high-quality standards.
Knowledge Sharing: The company encourages team members to share their knowledge and expertise with one another, fostering a culture of continuous learning and growth.

📝 Enhancement Note: REHAU's focus on innovation, collaboration, and sustainability creates an exciting environment for Werkstudenten to gain practical experience and grow both technically and personally.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Modern Web Standards: Familiarize yourself with modern data integration and analytics standards, as well as best practices for working with AWS technologies.
Performance Optimization & Scalability: Develop your skills in optimizing data processing and analytics workflows, ensuring that REHAU's data integration and analytics processes run efficiently and effectively.
User Experience: Ensure that REHAU's data integration and analytics processes are user-friendly and intuitive, with a focus on improving data quality and accessibility.
Emerging Technologies: Stay up-to-date with the latest trends in data integration and analytics, and be prepared to adapt to new technologies and tools as they emerge.

Learning & Development Opportunities:

Web Technology Skill Advancement: Working as a Werkstudent at REHAU will allow you to develop your skills in data processing, automation, and cloud technologies, preparing you for a career in data integration and analytics.
Conference Attendance & Certification: REHAU encourages team members to attend relevant conferences and pursue certifications to further their professional development.
Technical Mentorship & Leadership Development: As you gain experience and demonstrate your abilities, you may have the opportunity to take on more responsibilities and eventually move into a technical leadership role.

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to tackle real-world challenges and grow both technically and personally, working on projects that drive progress and innovation at REHAU.

💡 Interview Preparation

Technical Questions:

Data Integration & Analytics Fundamentals: Brush up on your knowledge of data integration and analytics processes, as well as relevant AWS services and tools.
System Design & Optimization Strategies: Prepare for questions about your approach to optimizing data processing and analytics workflows, as well as your understanding of system design principles.
Problem-solving: Be prepared to discuss your problem-solving skills and how you approach challenges in data integration and analytics.

Company & Culture Questions:

REHAU's Data Integration & Analytics Culture: Familiarize yourself with REHAU's data integration and analytics processes and be prepared to discuss how you would contribute to the company's mission and values.
Agile Methodologies: Brush up on your knowledge of Agile methodologies and be prepared to discuss your experience working in a collaborative, Agile environment.
User Experience Impact: Prepare for questions about your understanding of user experience principles and how you would ensure that REHAU's data integration and analytics processes are user-friendly and intuitive.

Portfolio Presentation Strategy:

Live Website Demonstration: Prepare a live demonstration of your relevant projects, focusing on data processing, automation, and cloud technologies.
Code Explanation Techniques: Be ready to explain your technical approach clearly and concisely, both in writing and verbally.
User Experience Showcase: Highlight your ability to optimize data processing and analytics workflows, ensuring that REHAU's data integration and analytics processes are user-friendly and intuitive.

📝 Enhancement Note: As a Werkstudent, you'll have the opportunity to demonstrate your technical skills and commitment to REHAU's mission and values throughout the interview process, ultimately securing a role that drives progress and innovation at the company.

📌 Application Steps

To apply for this Werkstudent (m/w/d) Cloud Data Integration & Analytics position at REHAU:

Prepare Your Portfolio: Tailor your portfolio to highlight your relevant projects in data processing, automation, and cloud technologies, with a focus on data integration and analytics.
Optimize Your Resume: Highlight your relevant skills and experiences, with an emphasis on data integration and analytics, cloud technologies, and problem-solving.
Research REHAU: Familiarize yourself with REHAU's data integration and analytics processes, as well as the company's mission and values.
Prepare for Technical Challenges: Brush up on your knowledge of data integration and analytics processes, as well as relevant AWS services and tools, and be prepared to discuss your approach to optimizing data workflows and improving data quality.

📝 Enhancement Note: By following these steps and demonstrating your technical skills and commitment to REHAU's mission and values, you'll have a strong chance of securing a Werkstudent position that drives progress and innovation at the company.

Werkstudent (m/w/d) Cloud Data Integration & Analytics