📍 Job Overview

Job Title: Data Platform Engineer (m/w/d)
Company: Fronius
Location: Thalheim bei Wels, Oberösterreich, Austria
Job Type: Hybrid (On-site & Remote)
Category: DevOps Engineer, Data Engineer
Date Posted: 2025-07-03

🚀 Role Summary

Develop and maintain scalable data platforms in collaboration with cross-functional teams.
Automate deployment processes and integrate data pipelines to ensure efficient data flow.
Contribute to the development of new platform features, from prototyping to production.
Collaborate with Data Engineers and Data Scientists on automation and AI projects.
Work with a modern data stack, including Kubernetes, Argo, Spark, and Python.

📝 Enhancement Note: This role requires a strong background in data engineering and software development, with a focus on platform engineering and automation. Familiarity with container orchestration and data pipelines is essential for success in this position.

💻 Primary Responsibilities

Platform Development & Maintenance: Develop, maintain, and optimize data platforms to ensure they meet business needs and comply with best practices.
Automation & Integration: Automate deployment processes and integrate data pipelines to streamline workflows and improve efficiency.
Feature Development: Contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Collaboration: Work closely with Data Engineers and Data Scientists on automation and AI projects, providing technical expertise and guidance.
Problem Solving: Troubleshoot and resolve technical issues that arise during platform development and maintenance, ensuring minimal downtime and optimal performance.

📝 Enhancement Note: This role requires strong problem-solving skills and the ability to work effectively in a collaborative environment. Experience with Kubernetes and container orchestration is essential for success in this position.

🎓 Skills & Qualifications

Education: A completed degree in Computer Science, Data Science, Software Engineering, or a related field is required for this role. Relevant coursework in data engineering, software development, or a similar field is preferred.

Experience: A minimum of 2 years of experience in data engineering, data science, or platform engineering is required for this role. Experience with Kubernetes, container orchestration, and data pipelines is strongly preferred.

Required Skills:

Proficiency in Kubernetes and container orchestration.
Strong software engineering skills, with a focus on CI/CD processes.
Experience with scripting languages, such as Python.
Familiarity with data platforms, workflow automation, and metadata management.
Fluent English communication skills.

Preferred Skills:

Certified Kubernetes Application Developer (CKAD) certification.
Experience with data pipelines and workflow automation tools.
Familiarity with the Austrian job market and cultural norms.

📝 Enhancement Note: This role requires a strong technical skill set, with a focus on data engineering and software development. Familiarity with the Austrian job market and cultural norms is preferred but not required.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Platform Development Projects: Include examples of data platform development projects, highlighting your ability to develop, maintain, and optimize data platforms that meet business needs and comply with best practices.
Automation & Integration Projects: Showcase your experience with automation and integration, including examples of automated deployment processes and integrated data pipelines.
Feature Development Projects: Demonstrate your ability to contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Collaboration Projects: Highlight your experience working with cross-functional teams, including Data Engineers and Data Scientists, on automation and AI projects.

Technical Documentation:

Code Quality & Documentation: Ensure your code is well-documented, with clear comments and adherence to best practices.
Version Control & Deployment Processes: Demonstrate your experience with version control systems and deployment processes, including automated deployment and continuous integration.
Testing & Performance Metrics: Showcase your ability to test and optimize your code, with a focus on performance metrics and optimization techniques.

📝 Enhancement Note: This role requires a strong portfolio that demonstrates your ability to develop, maintain, and optimize data platforms. Include examples of automation and integration projects, as well as collaboration with cross-functional teams.

💵 Compensation & Benefits

Salary Range: The salary range for this role is €3,775.27 to €4,862.95 per month, depending on qualifications and experience. Fronius offers salaries above the collective agreement for the electrical and electronics industry.

Benefits:

Flexible working hours and partial home office.
Company restaurant with varied and seasonal cuisine (canteen allowance).
Parking and electric car charging stations.
Public transport ticket coverage for commuting from your home to the workplace.
3-minute walk to Wels train station.
Mentoring and education programs.
Childcare programs and kindergarten with year-round care at the Sattledt location.
Company events and sports activities.

Working Hours: The standard working week is 40 hours, with flexible working hours and the possibility of working from home part-time.

📝 Enhancement Note: Fronius offers competitive salaries and a comprehensive benefits package, including flexible working hours and partial home office. The company also provides a range of employee perks, such as a company restaurant, parking, and public transport ticket coverage.

🎯 Team & Company Context

🏢 Company Culture

Industry: Fronius is a global leader in welding technology, solar energy, and battery charging technology. The company operates in the manufacturing and technology sectors, with a focus on innovation and sustainability.

Company Size: Fronius is a medium-sized company with a strong global presence. The company employs over 4,000 people worldwide and has a significant impact on the technology industry.

Founded: Fronius was founded in 1945 and has since grown into a global leader in its respective markets. The company has a strong commitment to research and development, with a focus on innovation and sustainability.

Team Structure:

Data Engineering Team: The data engineering team is responsible for developing and maintaining data platforms, as well as collaborating with other teams on automation and AI projects.
Data Science Team: The data science team is responsible for developing and implementing data-driven solutions, as well as collaborating with the data engineering team on automation and AI projects.
Business Units: Fronius has several business units, including welding technology, solar energy, and battery charging technology. The data engineering team works closely with these business units to ensure that data platforms meet their needs.

Development Methodology:

Agile Development: Fronius uses Agile development methodologies, including Scrum, to ensure efficient and effective development processes.
Code Review & Testing: The company places a strong emphasis on code review and testing, with a focus on quality and performance.
Deployment Strategies: Fronius uses automated deployment strategies, including continuous integration and continuous deployment, to ensure efficient and reliable deployment processes.

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

📝 Enhancement Note: Fronius is a global leader in welding technology, solar energy, and battery charging technology, with a strong commitment to innovation and sustainability. The company operates in the manufacturing and technology sectors and has a significant impact on the industry.

📈 Career & Growth Analysis

Data Platform Engineer Career Level: This role is a mid-level position within the data engineering team. The primary responsibilities include developing and maintaining data platforms, as well as collaborating with other teams on automation and AI projects.

Reporting Structure: The Data Platform Engineer reports directly to the Data Engineering Team Lead and works closely with the Data Science Team and business units.

Technical Impact: The Data Platform Engineer plays a critical role in ensuring that data platforms meet business needs and comply with best practices. The role requires strong technical expertise and the ability to work effectively in a collaborative environment.

Growth Opportunities:

Senior Data Platform Engineer: With experience and strong performance, the Data Platform Engineer can advance to a senior role, with increased responsibility for platform development and maintenance, as well as mentoring and leadership.
Data Engineering Team Lead: With experience and strong performance, the Data Platform Engineer can advance to a team lead role, with responsibility for managing the data engineering team and driving platform development and maintenance.
Data Science & Engineering Manager: With experience and strong performance, the Data Platform Engineer can advance to a management role, with responsibility for leading both the data engineering and data science teams and driving data-driven solutions.

📝 Enhancement Note: This role offers significant opportunities for career growth and development within the data engineering team. With experience and strong performance, the Data Platform Engineer can advance to senior, team lead, or management roles.

🌐 Work Environment

Office Type: Fronius has a modern and collaborative office environment, with a focus on open communication and teamwork. The company provides state-of-the-art equipment and tools to support its employees' work.

Office Location(s): The Data Platform Engineer role is based at the Fronius headquarters in Thalheim bei Wels, Austria. The company also has offices in several other countries, including the United States, China, and India.

Workspace Context:

Collaborative Workspace: Fronius provides a collaborative workspace, with open-plan offices and shared spaces for team meetings and brainstorming sessions.
Equipment & Tools: The company provides state-of-the-art equipment and tools, including modern computers, monitors, and software, to support its employees' work.
Cross-Functional Collaboration: Fronius encourages cross-functional collaboration, with regular meetings and workshops between the data engineering team and other teams, such as data science and business units.

Work Schedule: The standard working week is 40 hours, with flexible working hours and the possibility of working from home part-time. The company offers a range of employee perks, such as a company restaurant, parking, and public transport ticket coverage.

📝 Enhancement Note: Fronius provides a modern and collaborative work environment, with a focus on open communication and teamwork. The company offers a range of employee perks, such as flexible working hours and partial home office, as well as a company restaurant, parking, and public transport ticket coverage.

📄 Application & Technical Interview Process

Interview Process:

Online Application Review: Fronius will review your application and portfolio to ensure that you meet the required qualifications and skills for the role.
Phone or Video Screening: If your application is successful, you will be invited to a phone or video screening to discuss your qualifications and experience in more detail.
Technical Assessment: You will be asked to complete a technical assessment, which may include coding challenges or case studies, to demonstrate your technical skills and problem-solving abilities.
On-Site Interview: If your technical assessment is successful, you will be invited to an on-site interview at the Fronius headquarters in Thalheim bei Wels, Austria. The interview will focus on your technical skills, as well as your cultural fit and alignment with the company's values.
Final Decision: Fronius will make a final decision based on your interview performance and technical assessment results.

Portfolio Review Tips:

Platform Development Projects: Highlight your experience with platform development, including examples of data platforms you have developed and maintained, as well as any challenges you faced and how you overcame them.
Automation & Integration Projects: Showcase your experience with automation and integration, including examples of automated deployment processes and integrated data pipelines you have implemented.
Feature Development Projects: Demonstrate your ability to contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Collaboration Projects: Highlight your experience working with cross-functional teams, including Data Engineers and Data Scientists, on automation and AI projects.

Technical Challenge Preparation:

Coding Challenges: Familiarize yourself with the latest coding best practices and prepare for coding challenges that may focus on data engineering, software development, or automation topics.
System Design Challenges: Brush up on your system design skills and prepare for challenges that may focus on designing scalable and efficient data platforms.
Problem-Solving Challenges: Practice your problem-solving skills and prepare for challenges that may focus on troubleshooting technical issues or optimizing performance.

ATS Keywords: See the comprehensive list of relevant keywords for resume optimization, organized by category, at the end of this document.

📝 Enhancement Note: The interview process for this role is comprehensive and designed to assess both technical skills and cultural fit. Fronius places a strong emphasis on collaboration and teamwork, so it is essential to demonstrate your ability to work effectively in a collaborative environment.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

None: This role does not have a frontend technology focus.

Backend & Server Technologies:

Kubernetes: Proficiency in Kubernetes and container orchestration is required for this role.
Argo: Familiarity with Argo, a workflow automation tool, is preferred for this role.
Spark: Experience with Apache Spark, a data processing engine, is preferred for this role.
Python: Proficiency in Python is required for this role.

Development & DevOps Tools:

Git: Familiarity with Git, a version control system, is required for this role.
CI/CD Pipelines: Experience with continuous integration and continuous deployment (CI/CD) pipelines is preferred for this role.
Monitoring Tools: Familiarity with monitoring tools, such as Prometheus or Grafana, is preferred for this role.

📝 Enhancement Note: This role requires proficiency in Kubernetes and container orchestration, as well as experience with Python and data processing tools like Apache Spark. Familiarity with workflow automation tools, such as Argo, and monitoring tools is preferred.

👥 Team Culture & Values

Data Engineering Values:

Innovation: Fronius places a strong emphasis on innovation and encourages its employees to think creatively and push the boundaries of what is possible.
Collaboration: The company values collaboration and encourages its employees to work together to achieve common goals.
Quality: Fronius is committed to delivering high-quality products and services that meet the needs of its customers.
Sustainability: The company is dedicated to sustainable business practices and encourages its employees to consider the environmental impact of their work.

Collaboration Style:

Cross-Functional Collaboration: Fronius encourages cross-functional collaboration, with regular meetings and workshops between the data engineering team and other teams, such as data science and business units.
Code Review Culture: The company places a strong emphasis on code review and encourages its employees to review each other's code to ensure quality and performance.
Peer Programming: Fronius encourages peer programming, with employees working together to solve technical challenges and improve their skills.

📝 Enhancement Note: Fronius places a strong emphasis on innovation, collaboration, and quality, with a commitment to sustainable business practices. The company encourages cross-functional collaboration, code review, and peer programming to ensure high-quality products and services.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Platform Development: Develop and maintain scalable data platforms that meet business needs and comply with best practices.
Automation & Integration: Automate deployment processes and integrate data pipelines to ensure efficient data flow and minimal downtime.
Feature Development: Contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Problem Solving: Troubleshoot and resolve technical issues that arise during platform development and maintenance, ensuring minimal downtime and optimal performance.
Emerging Technologies: Stay up-to-date with the latest data engineering and software development trends and tools, and be prepared to adapt to new technologies as they emerge.

Learning & Development Opportunities:

Technical Skill Development: Fronius offers opportunities for technical skill development, including training and certification programs, as well as access to relevant conferences and events.
Mentorship: The company provides mentorship opportunities, with experienced team members offering guidance and support to help employees grow and develop their skills.
Leadership Development: Fronius offers leadership development opportunities, with training and workshops focused on management and team-building skills.

📝 Enhancement Note: This role offers significant opportunities for technical skill development and growth, with a focus on platform development, automation, and integration. The company provides mentorship and leadership development opportunities to help employees advance in their careers.

💡 Interview Preparation

Technical Questions:

Platform Development: Be prepared to discuss your experience with platform development, including examples of data platforms you have developed and maintained, as well as any challenges you faced and how you overcame them.
Automation & Integration: Brush up on your experience with automation and integration, including examples of automated deployment processes and integrated data pipelines you have implemented.
Feature Development: Demonstrate your ability to contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Problem Solving: Prepare for questions that focus on troubleshooting technical issues and optimizing performance, as well as your problem-solving approach and skills.

Company & Culture Questions:

Company Culture: Research Fronius' company culture and be prepared to discuss how your values and work style align with the company's mission and goals.
Team Dynamics: Familiarize yourself with the data engineering team structure and be prepared to discuss how you would collaborate with other teams, such as data science and business units.
Long-Term Goals: Be prepared to discuss your long-term career goals and how this role fits into your overall career development plan.

Portfolio Presentation Strategy:

Platform Development Projects: Highlight your experience with platform development, including examples of data platforms you have developed and maintained, as well as any challenges you faced and how you overcame them.
Automation & Integration Projects: Showcase your experience with automation and integration, including examples of automated deployment processes and integrated data pipelines you have implemented.
Feature Development Projects: Demonstrate your ability to contribute to the development of new platform features, from prototyping to production, ensuring they meet quality and performance standards.
Collaboration Projects: Highlight your experience working with cross-functional teams, including Data Engineers and Data Scientists, on automation and AI projects.

📝 Enhancement Note: The interview process for this role is comprehensive and designed to assess both technical skills and cultural fit. Fronius places a strong emphasis on collaboration and teamwork, so it is essential to demonstrate your ability to work effectively in a collaborative environment.

📌 Application Steps

To apply for this Data Platform Engineer (m/w/d) position at Fronius:

Submit Your Application: Click the "Apply Now" button on the job listing to submit your application through the Fronius careers portal.
Prepare Your Portfolio: Tailor your portfolio to highlight your experience with platform development, automation, and integration, as well as any collaboration projects you have worked on. Include examples of your best work and be prepared to discuss your approach and thought process.
Optimize Your Resume: Tailor your resume to highlight your relevant skills and experience, including any relevant keywords and phrases. Use the comprehensive list of relevant keywords provided at the end of this document to optimize your resume for the ATS system.
Research the Company: Familiarize yourself with Fronius' company culture, values, and mission. Be prepared to discuss how your values and work style align with the company's goals and objectives.
Prepare for the Interview: Review the technical and cultural questions provided in this document and practice your responses. Be prepared to discuss your experience with platform development, automation, and integration, as well as your problem-solving approach and skills.

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

Comprehensive List of Relevant Keywords for Resume Optimization

Programming Languages:

Python
Bash
SQL
JavaScript
HTML/CSS

Web Frameworks & Libraries:

None (This role does not have a frontend technology focus)

Server Technologies:

Kubernetes
Argo
Apache Spark

Databases:

None (This role does not have a database administration focus)

Tools:

Git
CI/CD Pipelines
Monitoring Tools (Prometheus, Grafana)

Methodologies:

Agile/Scrum
Code Review
Testing & Quality Assurance

Soft Skills:

Problem Solving
Collaboration
Communication
Teamwork
Innovation
Adaptability

Industry Terms:

Data Engineering
Data Science
Platform Engineering
Automation
Integration
Workflow Automation
Metadata Management
Scalability
Performance Optimization
Troubleshooting
System Design

Regional Salary Research:

The salary range for this role is €3,775.27 to €4,862.95 per month, depending on qualifications and experience. Fronius offers salaries above the collective agreement for the electrical and electronics industry.
The cost of living in Austria is relatively high compared to other European countries. The average monthly net salary for a mid-level data engineer in Austria is around €3,500 to €4,500, depending on location and experience.
The average monthly net salary for a senior data engineer in Austria is around €4,500 to €5,500, depending on location and experience.

ATS Keyword Distribution:

Distribute relevant keywords throughout your resume, including the summary, skills, experience, and cover letter sections.
Use a mix of general and specific keywords to ensure your resume is optimized for both human recruiters and ATS systems.
Avoid keyword stuffing and ensure that your resume remains clear, concise, and easy to read.
Tailor your resume to the specific role and company, highlighting your relevant skills and experience.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to data engineering, software development, and platform engineering roles.
Include data engineering methodologies, automation principles, and platform development practices.
Emphasize automation, integration, and collaboration with cross-functional teams.
Address data pipeline development, workflow automation, and metadata management.
Highlight problem-solving skills, system design, and performance optimization.

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information.
Only include Enhancement Notes when making significant inferences about technical responsibilities, with specific reasoning based on role level and data engineering industry practices.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute data engineering and software development keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and data engineering specialization.

Industry Expertise:

Include specific data engineering tools, frameworks, and platforms relevant to the role.
Address data engineering career progression paths and technical leadership opportunities in data teams.
Provide tactical advice for data portfolio development, live demonstrations, and project case studies.
Include data engineering-specific interview preparation and coding challenge guidance.
Emphasize automation, integration, and collaboration with cross-functional teams.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use data engineering and software development industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to data engineering professionals.
Provide actionable insights that give data engineering candidates a competitive advantage.
Focus on data engineering team culture, cross-functional collaboration, and data-driven decision-making.

Technical Focus & Portfolio Emphasis:

Emphasize data engineering best practices, automation principles, and platform development.
Include specific portfolio requirements tailored to the data engineering discipline and role level.
Address automation, integration, and collaboration with cross-functional teams.
Focus on problem-solving methods, performance optimization, and scalable platform architecture.
Include technical presentation skills and stakeholder communication for data projects.

Avoid:

Generic business jargon not relevant to data engineering or software development roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific data engineering role.
Marketing language unrelated to data engineering, software development, or platform engineering.

Generate comprehensive, data engineering-focused content that serves as a valuable resource for data engineering professionals seeking their next opportunity and preparing for technical interviews in the data engineering industry.

Data Platform Engineer (m/w/d)