📍 Job Overview

Job Title: IT System Administrator (m/w/d) Data Quality Management / Metadata Management (Cloud)
Company: R+V Allgemeine Versicherung AG
Location: Wiesbaden, Hesse, Germany
Job Type: Hybrid (Flexible Working Hours, Home Office)
Category: IT Infrastructure & Operations
Date Posted: 2025-08-01
Experience Level: Mid-Level (2-5 years)
Remote Status: On-site with Hybrid Work Arrangement

🚀 Role Summary

Key Responsibilities:
- Operate and further develop cloud-based data quality and metadata management systems.
- Integrate Informatica IDMC into the R+V environment and ensure stable application operations.
- Collaborate with a cross-functional team to improve data management and architecture.
- Contribute to the continuous improvement of agile methodologies within the group.

📝 Enhancement Note: This role combines technical expertise in data quality management and metadata management with a focus on cloud-based solutions and agile methodologies. It requires strong collaboration skills and a proactive approach to problem-solving.

💻 Primary Responsibilities

Technical Operations:
- Manage and maintain cloud-based data quality and metadata management systems.
- Integrate Informatica IDMC into the R+V environment and ensure seamless data flow.
- Troubleshoot and resolve technical issues related to data quality and metadata management.
Collaboration & Communication:
- Work closely with the team to discuss complex architectures and find optimal solutions.
- Support the team in incident management and deployment processes.
- Contribute to the continuous improvement of agile methodologies within the group.
Data Management & Quality Assurance:
- Ensure data quality and metadata management standards are met and maintained.
- Develop and implement strategies to improve data quality and metadata management.
- Monitor and analyze data quality and metadata management performance metrics.

📝 Enhancement Note: This role involves a mix of technical tasks, team collaboration, and data quality assurance. It requires strong problem-solving skills and a proactive approach to improving data management processes.

🎓 Skills & Qualifications

Education: A relevant degree in computer science, information technology, or a related field. Relevant work experience may be considered in lieu of formal education.

Experience:

Proven experience in application administration and data management.
Experience with Informatica Cloud solutions.
Experience working in agile teams and environments.

Required Skills:

Proficiency in Java, Linux, and cloud services (e.g., AWS, Azure, or Google Cloud).
Strong communication skills in German and English.
Experience with data quality management and metadata management.
Familiarity with agile methodologies and collaborative tools (e.g., Jira, Confluence).

Preferred Skills:

Experience with Informatica IDMC integration.
Knowledge of data modeling and data warehousing concepts.
Familiarity with DevOps practices and CI/CD pipelines.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

📝 Enhancement Note: This role requires a strong technical background in data quality management and metadata management, as well as experience working in agile teams. Familiarity with cloud-based solutions and Informatica IDMC integration is a plus.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience in data quality management and metadata management through relevant projects.
Showcase proficiency in cloud-based solutions and Informatica IDMC integration.
Highlight problem-solving skills and a proactive approach to improving data management processes.

Technical Documentation:

Provide documentation on data quality management and metadata management processes.
Include technical specifications and architecture diagrams for relevant projects.
Demonstrate understanding of data modeling and data warehousing concepts.

📝 Enhancement Note: This role requires a strong focus on data quality management and metadata management. Applicants should highlight relevant projects and provide technical documentation that demonstrates their expertise in these areas.

💵 Compensation & Benefits

Salary Range: €45,000 - €60,000 per year (Mid-level experience level in Germany, based on Glassdoor and Payscale data)

Benefits:

Flexible working hours and home office options.
30 days of vacation and additional days off (Dec 24th and Dec 31st).
14 monthly salaries or participation in a variable compensation system.
Special payments, employee discounts, and rabatt actions.
Company pension scheme and health management programs.
Fitness studio and job ticket.
Childcare support and family-friendly policies.
Professional development opportunities through the R+V Academy.

📝 Enhancement Note: The salary range is based on mid-level experience in Germany. Benefits are tailored to support work-life balance, professional development, and employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Insurance Company Size: Medium (approx. 5,000 employees) Founded: 1925

Team Structure:

The team consists of seven members, with a focus on agile and interdisciplinary collaboration.
The team uses Java, Linux, cloud services, Jira, and Confluence as key technologies and tools.

Development Methodology:

The team follows agile methodologies, with a focus on continuous improvement and collaboration.
The team uses Jira for project management and Confluence for knowledge sharing and collaboration.

📝 Enhancement Note: The company culture at R+V emphasizes agile methodologies, interdisciplinary collaboration, and continuous improvement. The team structure is designed to support these values and promote a dynamic work environment.

📈 Career & Growth Analysis

Role Level: Mid-level IT System Administrator with a focus on data quality management and metadata management.

Reporting Structure: The role reports directly to the team lead or manager, with a flat organizational structure that encourages collaboration and information sharing.

Technical Impact: The role has a significant impact on data quality, metadata management, and overall data governance within the organization. It requires strong technical expertise and a proactive approach to problem-solving.

Growth Opportunities:

Develop expertise in cloud-based solutions and emerging technologies.
Transition into roles such as System Architect, System Engineer, Product Owner, Product Manager, Scrum Master, or Release Train Engineer.
Contribute to the continuous improvement of agile methodologies and data management processes.

📝 Enhancement Note: This role offers significant opportunities for technical growth and career development. Applicants should be proactive in seeking out new challenges and taking on additional responsibilities.

🌐 Work Environment

Office Type: Modern, collaborative workspace with a focus on agile methodologies and interdisciplinary collaboration.

Office Location(s): Wiesbaden, Germany (with hybrid work arrangement)

Workspace Context:

The workspace is designed to support agile methodologies and collaborative teamwork.
The team uses multiple monitors and testing devices to ensure optimal performance and user experience.
The workspace is located in a convenient and accessible location, with a job ticket and job bike/leasing options available.

Work Schedule: Standard 38-hour workweek with flexible working hours and home office options.

📝 Enhancement Note: The work environment at R+V is designed to support agile methodologies and collaborative teamwork. Applicants should be comfortable working in a dynamic and interdisciplinary team setting.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate proficiency in data quality management, metadata management, and cloud-based solutions through a technical assessment or case study.
Team Fit Assessment: Showcase strong communication skills and a collaborative mindset through team-based exercises and discussions.
Final Evaluation: Discuss career goals, technical impact, and long-term fit with the team and organization.

Portfolio Review Tips:

Highlight relevant projects that demonstrate expertise in data quality management, metadata management, and cloud-based solutions.
Provide technical documentation that showcases understanding of data modeling and data warehousing concepts.
Emphasize problem-solving skills and a proactive approach to improving data management processes.

Technical Challenge Preparation:

Brush up on data quality management, metadata management, and cloud-based solutions concepts.
Prepare for technical assessments and case studies that focus on data quality management, metadata management, and cloud-based solutions.
Familiarize yourself with the R+V company culture and values to demonstrate a strong fit with the organization.

ATS Keywords: (Relevant keywords for resume optimization, organized by category)

Programming Languages: Java, Python, SQL
Cloud Platforms: AWS, Azure, Google Cloud
Data Management: Data Quality, Metadata Management, Data Warehousing, Data Modeling
Tools: Informatica IDMC, Jira, Confluence, Linux
Methodologies: Agile, Scrum, DevOps, CI/CD
Soft Skills: Communication, Collaboration, Problem-Solving, Initiative, Teamwork

📝 Enhancement Note: The interview process at R+V focuses on technical expertise, team fit, and long-term potential. Applicants should be prepared to demonstrate strong problem-solving skills and a proactive approach to improving data management processes.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

Java (Core programming language)
Linux (Operating system)
Cloud Services (AWS, Azure, Google Cloud)
Informatica IDMC (Data quality and metadata management tool)

Development & DevOps Tools:

Jira (Project management and issue tracking)
Confluence (Collaborative knowledge sharing)
Git (Version control)
Jenkins (CI/CD pipeline automation)

📝 Enhancement Note: The technology stack at R+V is designed to support cloud-based data quality management and metadata management. Applicants should be proficient in Java, Linux, and cloud services, with a strong understanding of data quality management and metadata management concepts.

👥 Team Culture & Values

Web Development Values:

User-Centric: Focus on data quality and metadata management to ensure optimal user experience and performance.
Collaborative: Work closely with cross-functional teams to improve data management processes and architecture.
Innovative: Embrace emerging technologies and best practices to drive continuous improvement in data quality and metadata management.
Quality-Driven: Prioritize data quality and metadata management standards to ensure accurate and reliable data.

Collaboration Style:

Agile: Work in an agile and interdisciplinary team setting to drive continuous improvement and innovation.
Cross-Functional: Collaborate with various teams, including frontend developers, backend developers, and designers, to ensure optimal data integration and user experience.
Knowledge-Sharing: Contribute to a culture of knowledge-sharing and continuous learning to improve data quality and metadata management processes.

📝 Enhancement Note: The team culture at R+V emphasizes agile methodologies, interdisciplinary collaboration, and continuous improvement. Applicants should be comfortable working in a dynamic and collaborative team setting.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Quality Management: Develop and implement strategies to improve data quality and metadata management in a cloud-based environment.
Metadata Management: Ensure accurate and up-to-date metadata management to support data governance and compliance.
Cloud Integration: Integrate cloud-based solutions with existing on-premises infrastructure to ensure seamless data flow and optimal performance.
Emerging Technologies: Stay up-to-date with emerging technologies and best practices in data quality management and metadata management.

Learning & Development Opportunities:

Technical Skill Development: Develop expertise in cloud-based solutions, data quality management, and metadata management through relevant projects and professional development opportunities.
Certifications & Conferences: Pursue relevant certifications and attend industry conferences to expand knowledge and network with peers.
Mentorship & Leadership: Seek mentorship opportunities and take on leadership roles to develop technical and soft skills.

📝 Enhancement Note: This role offers significant technical challenges and growth opportunities in data quality management and metadata management. Applicants should be proactive in seeking out new challenges and taking on additional responsibilities.

💡 Interview Preparation

Technical Questions:

Data Quality Management: Describe your approach to data quality management and provide examples of successful implementations in previous roles.
Metadata Management: Explain your understanding of metadata management and discuss best practices for ensuring accurate and up-to-date metadata.
Cloud Integration: Discuss your experience with cloud-based solutions and explain how you would integrate them with existing on-premises infrastructure.
Problem-Solving: Describe a complex data quality or metadata management challenge you faced in a previous role and explain how you overcame it.

Company & Culture Questions:

Agile Methodologies: Explain your understanding of agile methodologies and discuss how you have applied them in previous roles.
Collaboration: Describe your approach to collaboration and provide examples of successful cross-functional teamwork in previous roles.
Data Governance: Discuss your understanding of data governance and explain how you would ensure data quality and metadata management standards are met and maintained.

Portfolio Presentation Strategy:

Project Case Studies: Present relevant projects that demonstrate expertise in data quality management, metadata management, and cloud-based solutions.
Technical Documentation: Provide technical documentation that showcases understanding of data modeling and data warehousing concepts.
Problem-Solving: Emphasize problem-solving skills and a proactive approach to improving data management processes.

📝 Enhancement Note: The interview process at R+V focuses on technical expertise, team fit, and long-term potential. Applicants should be prepared to demonstrate strong problem-solving skills and a proactive approach to improving data management processes.

📌 Application Steps

To apply for this IT System Administrator (m/w/d) Data Quality Management / Metadata Management (Cloud) position at R+V Allgemeine Versicherung AG:

Customize Your Portfolio: Highlight relevant projects that demonstrate expertise in data quality management, metadata management, and cloud-based solutions. Include technical documentation that showcases understanding of data modeling and data warehousing concepts.
Optimize Your Resume: Tailor your resume to emphasize relevant skills and experiences in data quality management, metadata management, and cloud-based solutions. Use relevant keywords to optimize your resume for ATS systems.
Prepare for Technical Assessments: Brush up on data quality management, metadata management, and cloud-based solutions concepts. Prepare for technical assessments and case studies that focus on data quality management, metadata management, and cloud-based solutions.
Research the Company: Familiarize yourself with the R+V company culture, values, and mission. Prepare for company-specific questions and demonstrate a strong fit with the organization.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

IT Systemadministrator (m/w/d) Datenqualitätsmanagement / Metadatenmanagement (Cloud)