📍 Job Overview

Job Title: DevOps Engineer (Grafana) (REF4291S)
Company: Deutsche Telekom IT Solutions
Location: Hungary (Budapest, Debrecen, Pécs, Szeged)
Job Type: Full-time
Category: DevOps Engineer
Date Posted: 2025-07-28
Experience Level: Mid-level (2-5 years)
Remote Status: On-site (Hungary only)

🚀 Role Summary

Key Responsibilities: Install, configure, and administer Grafana Enterprise, integrate metrics tools, develop Python-based forecasting models, and maintain Grafana dashboards.
Key Technologies: Grafana Enterprise, Prometheus, Thanos, Python, Linux, Red Hat Enterprise Linux.
Key Skills: DevOps, predictive analytics, data source integration, API usage, troubleshooting, technical documentation.

📝 Enhancement Note: This role requires a strong focus on Grafana Enterprise and predictive analytics, making it an excellent fit for a DevOps engineer with a background in data-driven decision-making and visualization.

💻 Primary Responsibilities

Grafana Enterprise Administration:
- Install, configure, and maintain Grafana Enterprise.
- Utilize advanced Grafana features such as Alerting, RBAC, Grafana Scenes, and YAML provisioning.
- Integrate metrics tools like Prometheus and Thanos.
Python-based Forecasting Models:
- Develop and integrate Python-based forecasting/machine learning models into Grafana.
- Build predictive analytics models using time-series data.
Dashboard Maintenance:
- Maintain and improve Grafana dashboards.
- Ensure compliance with internal standards and policies.
Support and Troubleshooting:
- Troubleshoot issues and handle support tickets.
- Provide user assistance and support.
System Health Monitoring:
- Monitor system health and performance.
- Ensure the smooth operation of Grafana Enterprise and related integrations.

🎓 Skills & Qualifications

Education: Bachelor's/Master's degree in Computer Science, Engineering, or IT, or relevant work experience.

Experience: 2-5 years of experience in DevOps, data visualization, or a related field.

Required Skills:

Strong English communication skills, both written and verbal.
Hands-on experience with Grafana Enterprise, including installation, configuration, dashboard development, data source integration, and API usage.
Proficiency in using Grafana's advanced features.
Familiarity with Thanos/Prometheus.
Experience with setting up, configuring, and managing Grafana features (e.g., Grafana Scenes).
Experience in predictive analytics and time-series data.

Preferred Skills:

Experience working in a SAFe environment.
Linux/Red Hat Enterprise Linux knowledge.
Basic knowledge in using Helm Charts and Argo CD.
Python programming skills.
On-Call Duty experience.
ITIL Knowledge.
German language knowledge.

📝 Enhancement Note: While not explicitly stated, having experience with cloud platforms (e.g., AWS, GCP, or Azure) and containerization tools (e.g., Docker and Kubernetes) would be beneficial for this role, as they are common in DevOps environments.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Include projects showcasing Grafana dashboard development, data source integration, and API usage.
Demonstrate experience with predictive analytics and time-series data visualization.
Highlight any projects involving Python-based forecasting models or machine learning.

Technical Documentation:

Provide clear and concise documentation for your projects, explaining the architecture, data sources, and any challenges faced.
Include any relevant code snippets or examples demonstrating your proficiency with Grafana and related tools.

📝 Enhancement Note: As this role involves working with sensitive customer data, ensure that any portfolio projects or documentation do not contain any confidential or proprietary information.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Hungary is approximately HUF 450,000 - 600,000 per year (€1,200 - 1,600 per month), based on experience and market standards for DevOps engineers.

Benefits:

Competitive salary and benefits package.
Opportunity to work in an international team with T-Systems International.
Remote working possibility within Hungary due to European taxation regulation.

Working Hours: The standard working hours are 40 hours per week, with flexibility for maintenance windows and project deadlines.

📝 Enhancement Note: The provided salary range is an estimate based on market research and should be verified with the hiring organization. Benefits and working hours may vary and should be confirmed with the employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Deutsche Telekom IT Solutions operates in the telecommunications and IT services industry, focusing on electronic road-charging solutions and tolling services.

Company Size: The company has over 5,300 employees, providing a large and diverse team to work with.

Founded: Deutsche Telekom IT Solutions was founded in 2006, with a history of growth and expansion in the Hungarian market.

Team Structure:

The Tolling Services team consists of IT professionals specializing in electronic road-charging solutions.
The team works closely with international partners and customers to develop and operate intelligent, kilometer-based tolling systems.
The team aims to enhance existing services and expand into new domains, providing opportunities for growth and learning.

Development Methodology:

The team follows Agile methodologies, with a focus on planning and executing backlog items, participating in team meetings, and ensuring compliance with internal standards and policies.
The use of Grafana Enterprise and related tools indicates a focus on data-driven decision-making and visualization.

Company Website: https://www.telekom.hu/

📝 Enhancement Note: Deutsche Telekom IT Solutions places a strong emphasis on ethical business practices and educational cooperation, as demonstrated by its awards and recognition. These values may influence the company culture and provide opportunities for professional development and growth.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level (2-5 years) experience range, with opportunities for growth and specialization in DevOps, predictive analytics, and data visualization.

Reporting Structure: The DevOps Engineer reports directly to the Tolling Services team, working closely with team members and collaborating with international partners and customers.

Technical Impact: The role involves working with sensitive customer data and critical systems, requiring a strong focus on data security, performance, and reliability. The successful candidate will have a significant impact on the quality and effectiveness of the tolling services provided.

Growth Opportunities:

Technical Skill Development: Expand your skills in Grafana Enterprise, predictive analytics, and related tools, with opportunities to work on cutting-edge projects and technologies.
Team Management: As you gain experience and demonstrate leadership, there may be opportunities to mentor junior team members or take on team management responsibilities.
Architecture Decisions: As your understanding of the systems and data grows, you may have the opportunity to influence architecture decisions and contribute to the overall design and strategy of the tolling services.

📝 Enhancement Note: The company's focus on continuous improvement and expansion into new domains provides ample opportunities for growth and learning, both technically and professionally.

🌐 Work Environment

Office Type: The company has four sites in Budapest, Debrecen, Pécs, and Szeged, providing a mix of urban and suburban work environments.

Office Location(s): The offices are located in the respective cities, with accessible public transportation options.

Workspace Context:

The workspace is collaborative, with a focus on teamwork and cross-functional collaboration with international partners and customers.
The work environment is equipped with modern development tools, multiple monitors, and testing devices to support efficient and effective work.
The team interacts regularly, with opportunities for knowledge sharing, technical mentoring, and continuous learning.

Work Schedule: The standard working hours are 40 hours per week, with flexibility for deployment windows, maintenance, and project deadlines. Remote working is available within Hungary due to European taxation regulation.

📝 Enhancement Note: The company's focus on remote work within Hungary and its commitment to ethical business practices contribute to a positive and inclusive work environment.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Brush up on your Grafana Enterprise, Python, and predictive analytics skills. Familiarize yourself with the company's focus on data-driven decision-making and visualization.
Team Meeting: Prepare for a team meeting to discuss your application, experience, and fit within the organization.
Technical Assessment: Expect a technical assessment focused on your Grafana Enterprise, Python, and data visualization skills. Be prepared to demonstrate your ability to build predictive analytics models and integrate them into Grafana.
Final Evaluation: The final evaluation may include a discussion of your technical impact, cultural fit, and long-term potential within the organization.

Portfolio Review Tips:

Highlight projects that demonstrate your Grafana Enterprise, Python, and predictive analytics skills.
Include any projects that showcase your ability to work with sensitive customer data and critical systems.
Be prepared to discuss your approach to data security, performance, and reliability.

Technical Challenge Preparation:

Brush up on your Grafana Enterprise, Python, and data visualization skills.
Familiarize yourself with the company's focus on data-driven decision-making and visualization.
Prepare for a technical challenge that may involve building predictive analytics models and integrating them into Grafana.

ATS Keywords: (Organized by category)

Programming Languages: Python, SQL, JavaScript
Web Frameworks: Grafana Enterprise, Prometheus, Thanos
Server Technologies: Linux, Red Hat Enterprise Linux
Databases: PostgreSQL, MySQL
Tools: Helm Charts, Argo CD, Git, Jira
Methodologies: Agile, SAFe, ITIL
Soft Skills: Communication, Teamwork, Problem-solving, Troubleshooting
Industry Terms: DevOps, Predictive Analytics, Data Visualization, Tolling Services, Electronic Road-charging Solutions

📝 Enhancement Note: The interview process is designed to assess your technical skills, cultural fit, and long-term potential within the organization. Be prepared to discuss your approach to data-driven decision-making, visualization, and collaboration with international partners and customers.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Grafana Enterprise: The primary frontend technology used for data visualization and dashboard creation.
Python: Used for building predictive analytics models and integrating them into Grafana.

Backend & Server Technologies:

Prometheus and Thanos: Used for metrics collection, storage, and querying.
Linux and Red Hat Enterprise Linux: The primary server operating systems used for hosting Grafana Enterprise and related tools.

Development & DevOps Tools:

Helm Charts and Argo CD: Used for package management and deployment automation.
Git: Used for version control and collaborative development.
Jira: Used for project management and issue tracking.

📝 Enhancement Note: The technology stack is designed to support data-driven decision-making and visualization, with a focus on performance, reliability, and scalability.

👥 Team Culture & Values

Web Development Values:

Data-driven Decision-making: The company places a strong emphasis on data-driven decision-making and visualization, with a focus on using data to inform business strategies and improve customer experiences.
Collaboration: The team works closely with international partners and customers, requiring strong communication and collaboration skills.
Continuous Learning: The company encourages continuous learning and professional development, with opportunities to work on cutting-edge projects and technologies.
Ethical Business Practices: The company is committed to ethical business practices, with a focus on sustainability, social responsibility, and environmental stewardship.

Collaboration Style:

Cross-functional Collaboration: The team works closely with international partners and customers, requiring strong communication and collaboration skills.
Code Review Culture: The team follows best practices for code review and peer programming, ensuring high-quality and maintainable code.
Knowledge Sharing: The team encourages knowledge sharing and technical mentoring, with opportunities for continuous learning and professional development.

📝 Enhancement Note: The company's focus on data-driven decision-making, collaboration, and continuous learning contributes to a positive and inclusive team culture.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Data Security and Privacy: Ensure the security and privacy of sensitive customer data, complying with relevant regulations and industry standards.
Performance Optimization: Optimize the performance of Grafana Enterprise and related tools, ensuring fast and reliable data visualization and analysis.
Scalability: Design and implement scalable solutions that can handle increased data volumes and user demand.
Emerging Technologies: Stay up-to-date with emerging technologies in data visualization, predictive analytics, and related fields, and be prepared to integrate them into the company's toolset.

Learning & Development Opportunities:

Technical Skill Advancement: Expand your skills in Grafana Enterprise, predictive analytics, and related tools, with opportunities to work on cutting-edge projects and technologies.
Conference Attendance: Attend industry conferences and events to stay up-to-date with the latest trends and best practices in data visualization, predictive analytics, and related fields.
Technical Mentorship: Seek out mentorship opportunities within the organization to learn from experienced team members and gain insights into best practices and industry trends.

📝 Enhancement Note: The technical challenges and learning opportunities provided by this role offer a unique chance to grow both personally and professionally, with a focus on data-driven decision-making, collaboration, and continuous learning.

💡 Interview Preparation

Technical Questions:

Grafana Enterprise: Prepare for questions about your experience with Grafana Enterprise, including installation, configuration, dashboard development, data source integration, and API usage. Be prepared to discuss advanced features such as Alerting, RBAC, Grafana Scenes, and YAML provisioning.
Python and Predictive Analytics: Prepare for questions about your experience with Python and predictive analytics, including data preprocessing, model building, and integration with Grafana. Be ready to discuss your approach to handling missing data, feature engineering, and model evaluation.
System Design and Architecture: Prepare for questions about your approach to system design and architecture, with a focus on data-driven decision-making, performance, and scalability. Be ready to discuss your experience with cloud platforms, containerization, and microservices.

Company & Culture Questions:

Data-driven Decision-making: Prepare for questions about your approach to data-driven decision-making and visualization, and be ready to discuss your experience with data analysis, interpretation, and communication.
Collaboration: Prepare for questions about your experience working with international partners and customers, and be ready to discuss your approach to cross-functional collaboration, communication, and problem-solving.
Continuous Learning: Prepare for questions about your commitment to continuous learning and professional development, and be ready to discuss your experience with new technologies, tools, and methodologies.

Portfolio Presentation Strategy:

Live Demonstration: Prepare a live demonstration of your Grafana dashboards, predictive analytics models, and any other relevant projects, highlighting your technical skills and approach to data visualization.
Code Walkthrough: Prepare a code walkthrough of your Python scripts and any other relevant code samples, explaining your approach to data preprocessing, model building, and integration with Grafana.
User Experience: Prepare a user experience walkthrough of your Grafana dashboards, highlighting your approach to data-driven decision-making, visualization, and collaboration with international partners and customers.

📝 Enhancement Note: The interview process is designed to assess your technical skills, cultural fit, and long-term potential within the organization. Be prepared to discuss your approach to data-driven decision-making, visualization, and collaboration with international partners and customers.

📌 Application Steps

To apply for this DevOps Engineer (Grafana) position at Deutsche Telekom IT Solutions:

Customize Your Portfolio: Tailor your portfolio to highlight your Grafana Enterprise, Python, and predictive analytics skills, with a focus on data-driven decision-making, visualization, and collaboration with international partners and customers.
Optimize Your Resume: Highlight your relevant experience with Grafana Enterprise, Python, predictive analytics, and related tools, with a focus on data-driven decision-making, visualization, and collaboration with international partners and customers.
Prepare for Technical Interview: Brush up on your Grafana Enterprise, Python, and predictive analytics skills, and be ready to discuss your approach to data-driven decision-making, visualization, and collaboration with international partners and customers.
Research the Company: Familiarize yourself with Deutsche Telekom IT Solutions' focus on data-driven decision-making, visualization, and collaboration with international partners and customers, and be prepared to discuss your fit within the organization.

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

DevOps Engineer (Grafana) (REF4291S)