R&D Engineer (m/w/d) Prototyping & Testing

📍 Job Overview

Job Title: R&D Engineer (m/w/d) Prototyping & Testing

Company: DACHSER SE

Location: Kempten (Allgäu), Bavaria, Germany

Job Type: Full-time, Permanent

Category: R&D / Innovation; IT; Engineering

Date Posted: May 19, 2026

Experience Level: Mid-Level (Estimated 2-5 years)

Remote Status: Hybrid

🚀 Role Summary

• This R&D Engineer role is central to DACHSER's Corporate Division Research & Development, driving innovation and future-proofing the company through its global Idea2net innovation program.

• Focuses on developing and testing software prototypes using modern programming languages, agentic coding, and emerging technologies in IT Infrastructure, Cloud Computing, AI/Machine Learning, and Robotics/Automation.

• Involves creating and evaluating Proof-of-Concepts (PoCs) to demonstrate the potential of new technological approaches for operational logistics applications.

• Requires strong project coordination skills to manage sub-projects, collaborate with diverse internal departments and external R&D partners, and effectively communicate findings to stakeholders.

📝 Enhancement Note: The job title "R&D Engineer (m/w/d) Prototyping & Testing" and the description's emphasis on developing software prototypes, evaluating technologies like AI/ML and Robotics, and conducting Proof-of-Concepts strongly indicate a role focused on applied research and development within the IT and logistics sectors. The mention of "Agentic Coding" and "modern programming languages" suggests a forward-thinking approach to software engineering. This role is not a traditional Revenue Operations or Sales Operations role but rather an engineering function within an R&D department focused on technological innovation for logistics. Therefore, the subsequent sections will be tailored to reflect this engineering and R&D focus, rather than operations-specific metrics and processes.

📈 Primary Responsibilities

• Develop and implement software prototypes using modern programming languages, exploring advanced techniques like Agentic Coding to create innovative logistics solutions.

• Evaluate and integrate cutting-edge technologies in areas such as IT Infrastructure, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Robotics, and Automation.

• Design, build, and test Proof-of-Concepts (PoCs) to validate the feasibility and business potential of new technological approaches within the logistics domain.

• Coordinate and manage sub-projects within the R&D division, ensuring timely delivery and alignment with innovation program objectives.

• Foster strong collaborative relationships with internal business units, national/international branches, and external research and development partners, facilitating seamless knowledge transfer and project execution.

• Clearly communicate research findings, prototype capabilities, and strategic recommendations to internal stakeholders and leadership through well-structured presentations.

• Contribute to the continuous learning and development of the R&D team by mentoring junior colleagues, including student interns, in their daily work and academic projects.

📝 Enhancement Note: The responsibilities are derived directly from the "Aufgaben" section of the job description, translated and contextualized for an engineering R&D role. Emphasis is placed on the technical development, testing, and project coordination aspects relevant to prototyping and innovation.

🎓 Skills & Qualifications

Education:

Experience:

• Demonstrated experience in software development, including hands-on experience with at least one modern programming language.

• Foundational understanding of data representation and interpretation for analytical purposes.

Required Skills:

• Proficiency in software development using modern programming languages.

• Experience in creating and testing software prototypes.

• Understanding of IT infrastructure and software architecture concepts.

• Ability to interpret and work with data.

• Strong technical curiosity and creative problem-solving skills.

Preferred Skills:

• Experience with AI/Machine Learning concepts and applications.

• Familiarity with Cloud Computing platforms and services.

• Exposure to Robotics and Automation technologies.

• Experience with Agentic Coding approaches.

• Project coordination or management experience.

• Familiarity with the logistics industry.

📝 Enhancement Note: The qualifications are directly extracted from the "Qualifikationen" section. The experience level is estimated based on the typical requirements for a role involving prototype development and project coordination, suggesting a mid-level position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of developed software prototypes, highlighting the programming languages, methodologies, and technologies used.

• Documentation of Proof-of-Concept (PoC) projects, detailing the problem statement, proposed solution, implementation steps, and evaluated results.

• Examples of technical problem-solving, demonstrating the ability to address complex challenges with innovative solutions.

Process Documentation:

• Demonstrate understanding of the software development lifecycle, from ideation and prototyping to testing and potential integration.

• Illustrate experience in documenting technical specifications, architectural designs, and testing procedures.

• Provide examples of how iterative development and feedback loops were incorporated into project workflows.

📝 Enhancement Note: As this is an R&D engineering role focused on prototyping and testing, a portfolio demonstrating technical capabilities and project outcomes is crucial. The requirements are inferred based on the nature of R&D work, emphasizing the practical application of skills and the ability to document and present technical achievements.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Hybrid Work: Opportunity for flexible hybrid working arrangements.

• Modern Working Environment: Access to a contemporary and well-equipped workspace.

• Flexible Working Hours: Benefit from flexible working time models, including a flexitime arrangement and a working time account.

• Flexible Benefits Package ("Meine DACHSER Benefits"): A customizable benefits offering tailored to individual needs.

• Comprehensive Onboarding Program: Structured onboarding to facilitate a smooth integration into the company.

• Career Planning: Dedicated career development and planning support through the DACHSER Academy.

• Health & Wellness: Access to fitness and sports facilities, alongside a dedicated health management program.

• Corporate Benefits Platform: Discounts and special offers on leisure activities, events, and online shops.

Working Hours:

• Full-time employment with a standard working week of approximately 40 hours, incorporating flexible working time arrangements and a working time account.

📝 Enhancement Note: Salary is estimated based on general German engineering salary data for a mid-level R&D role in IT/Logistics, considering the location and assumed experience level. The benefits are directly listed from the "Unser Angebot" section of the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Logistics and Transport. DACHSER SE is a global player in integrated logistics services, focusing on optimizing supply chains through intelligent network combinations and IT integration.

Company Size: Large Enterprise (DACHSER SE is a significant global logistics provider with thousands of employees). This size implies structured processes, potential for diverse projects, and a stable organizational framework.

Founded: DACHSER SE was founded in 1930, indicating a long-standing history, deep industry expertise, and a stable, well-established corporate structure.

Team Structure:

• The role is within the Corporate Division Research & Development, which is responsible for company-wide research and innovation activities.

• This division likely comprises a mix of engineers, researchers, project managers, and specialists focused on future technologies and strategic innovation programs like Idea2net.

Methodology:

• The R&D division's methodology likely involves agile development principles for prototyping and PoC creation, iterative testing, and data-driven evaluation of new technologies.

• Emphasis is placed on continuous learning and the exploration of modern approaches like Agentic Coding, AI/ML, and robotics.

• Project coordination and clear communication of findings are key to ensuring innovation translates into tangible business value.

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

📝 Enhancement Note: Company context is derived from the provided company URL, general knowledge of DACHSER SE's industry position, and inferences from the job description regarding the R&D division's function. The emphasis on "Logistics is People Business" highlights a culture that values its employees.

📈 Career & Growth Analysis

Operations Career Level: This role represents a mid-level engineering position within a specialized R&D and Innovation division. It offers the opportunity to work on cutting-edge technologies and contribute directly to the company's future strategic direction in logistics.

Reporting Structure: The role reports into the Corporate Division Research & Development. The exact reporting line would typically be to an R&D Manager or Head of Innovation, working closely with project leads and collaborating across various departments.

Operations Impact: The R&D Engineer's impact is significant, focusing on identifying, developing, and validating new technologies that can revolutionize logistics operations, enhance efficiency, create new service offerings, and ensure DACHSER's competitive edge in the future.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific areas like AI/ML, Robotics, Agentic Coding, or Cloud Computing through project work and continuous learning.

• Project Leadership: Progress to leading sub-projects or entire R&D initiatives, taking on more responsibility for strategy, execution, and stakeholder management.

• Cross-Functional Mobility: Potential to transition into roles within IT operations, product development, or strategic innovation management within DACHSER, leveraging R&D experience.

• Continuous Learning: Access to resources like the DACHSER Academy for formal training, certifications, and career planning, alongside on-the-job learning and potential for attending industry conferences.

📝 Enhancement Note: Career and growth analysis is based on the R&D focus of the role, typical progression paths in technology and innovation departments within large enterprises, and the explicit mention of the DACHSER Academy for career planning.

🌐 Work Environment

Office Type: The role is described as hybrid, suggesting a blend of remote work and on-site presence at the Kempten (Allgäu) location. The company emphasizes a "modern working environment."

Office Location(s): The primary location is Kempten (Allgäu), Germany (87439), which serves as the Head Office for DACHSER SE. This location is likely equipped with state-of-the-art facilities to support R&D activities.

Workspace Context:

• Collaborative Environment: The role requires close collaboration with internal departments and external partners. The workspace likely supports team-based projects, brainstorming sessions, and knowledge sharing.

• Technology Access: As an R&D role focused on prototyping, access to advanced hardware, software development tools, and testing infrastructure is expected.

• Innovation Hub: The R&D division likely functions as an innovation hub within DACHSER, fostering a dynamic and forward-thinking atmosphere.

Work Schedule: Flexible working hours (Gleitzeitregelung) and a working time account are offered, providing a degree of autonomy in managing the work schedule, which is beneficial for deep-focus tasks common in R&D.

📝 Enhancement Note: Inferences about the workspace context are made based on the nature of an R&D engineering role in prototyping and testing, the company's emphasis on innovation, and the provision of a hybrid work model.

📄 Application & Portfolio Review Process

Interview Process: While not explicitly detailed, a typical R&D engineering interview process for a role like this might include:

• Initial Screening: HR or hiring manager conducts a preliminary assessment of qualifications and cultural fit.

• Technical Interview(s): In-depth discussions focusing on software development skills, understanding of relevant technologies (AI, Cloud, Robotics), problem-solving abilities, and experience with prototyping and testing. Candidates may be asked to discuss past projects or solve technical challenges.

• Portfolio Review/Presentation: Candidates will likely be asked to present examples from their portfolio, showcasing their technical work, problem-solving approach, and the impact of their projects. This is crucial for demonstrating practical skills.

• Team/Stakeholder Interaction: Interviews with potential team members or key stakeholders to assess collaboration style, communication skills, and alignment with the R&D and innovation culture.

• Final Interview: With senior management to discuss strategic alignment and overall fit.

Portfolio Review Tips:

• Showcase Technical Depth: Highlight specific projects where you developed and tested prototypes. Clearly articulate the technologies used (programming languages, AI/ML frameworks, cloud services, etc.) and your role in their implementation.

• Demonstrate Problem-Solving: For each project, clearly define the problem you were solving, your approach, the challenges encountered, and the innovative solutions you developed. Quantify results where possible (e.g., performance improvements, efficiency gains).

• Explain the "Why": Articulate the business context or strategic rationale behind your projects. How did your work contribute to the company's innovation goals or solve a specific logistics challenge?

• Prepare for Technical Deep Dives: Be ready to discuss the architectural decisions, code quality, testing methodologies, and potential scalability of your prototypes.

• Tailor to DACHSER: Research DACHSER's current innovation initiatives (like Idea2net) and industry challenges to frame your portfolio examples in a way that resonates with their strategic objectives.

Challenge Preparation:

• Expect technical challenges related to software development, algorithm design, or system integration.

• Be prepared to discuss your thought process and problem-solving approach.

• Practice articulating complex technical concepts clearly and concisely.

• Consider how your solutions could be applied within the logistics sector.

📝 Enhancement Note: The application and interview process is inferred based on standard practices for R&D engineering roles in technology-focused companies, with a specific emphasis on the portfolio's role in demonstrating technical capabilities and innovation potential.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Proficiency in at least one modern language (e.g., Python, Java, C++, Go) is required. Python is highly probable given its use in AI/ML and scripting.

• Development Environments: Familiarity with IDEs (e.g., VS Code, PyCharm, IntelliJ IDEA) and version control systems (e.g., Git).

• Prototyping Tools: Experience with frameworks and libraries for rapid application development and proof-of-concept creation.

Analytics & Reporting:

• Data Analysis Tools: Basic understanding of data interpretation implies familiarity with tools or libraries for data manipulation and analysis (e.g., Pandas, NumPy in Python).

• Visualization Tools: Potentially exposure to tools for visualizing data and presenting results (e.g., Matplotlib, Seaborn, or BI tools).

CRM & Automation:

• Automation Technologies: Familiarity with concepts and potentially tools related to robotics and automation.

• Cloud Platforms: Experience or understanding of major cloud providers like AWS, Azure, or Google Cloud for infrastructure and AI/ML services.

• AI/ML Frameworks: Exposure to libraries such as TensorFlow, PyTorch, scikit-learn, or similar for developing machine learning models.

📝 Enhancement Note: The technology stack is inferred based on the job description's requirements for software development, AI/Machine Learning, Cloud Computing, Robotics, and Automation, as well as the need for data interpretation and prototyping.

👥 Team Culture & Values

Operations Values:

• Innovation & Future Orientation: A strong emphasis on exploring new technologies and driving future-proofing initiatives for DACHSER.

• Technical Excellence: Commitment to developing high-quality prototypes and robust solutions through skilled engineering practices.

• Collaboration & Teamwork: Valuing close cooperation with internal departments and external partners to achieve shared innovation goals.

• Continuous Learning: Encouraging and expecting team members to stay abreast of the latest technological advancements and engage in ongoing professional development.

• Data-Driven Decision Making: Utilizing data interpretation to validate technological approaches and inform strategic recommendations.

Collaboration Style:

• Cross-Functional Integration: Actively working with diverse business units to understand their needs and translate them into technological solutions.

• External Partnerships: Building and maintaining relationships with research institutions and technology providers to leverage external expertise.

• Knowledge Sharing: A culture that encourages the open exchange of ideas, findings, and best practices within the R&D team and across the organization.

• Iterative Feedback: Embracing a feedback-driven approach to development, where prototypes are continuously refined based on input from stakeholders and testing results.

📝 Enhancement Note: Team culture and values are inferred from the company's stated mission ("Logistics is People Business"), the R&D division's focus on innovation, and the general expectations for collaborative, forward-thinking technical teams in a large enterprise.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Technological Evolution: Keeping pace with the fast-changing landscape of AI, ML, Cloud, and Robotics requires continuous learning and adaptation.

• Translating Innovation to Operations: Bridging the gap between experimental prototypes and scalable, operational logistics solutions can be complex.

• Cross-Departmental Alignment: Ensuring that R&D projects align with the diverse needs and priorities of various business units within DACHSER.

• Proof-of-Concept Validation: Demonstrating tangible value and ROI for innovative concepts to secure further investment and adoption.

Learning & Development Opportunities:

• Specialized Training: Access to DACHSER Academy for formal training in advanced technologies, project management, and leadership skills.

• Industry Exposure: Opportunities to attend relevant conferences, workshops, and engage with cutting-edge research in logistics technology.

• Mentorship: Learning from experienced R&D professionals and potentially mentoring junior team members or interns, enhancing leadership capabilities.

• Project Diversity: Working on a variety of R&D projects allows for broad exposure to different technological challenges and business applications within the logistics sector.

📝 Enhancement Note: Challenges and growth opportunities are identified based on the nature of R&D work in emerging technologies within a large, established industry like logistics, and the explicit mention of career development resources like the DACHSER Academy.

💡 Interview Preparation

Strategy Questions:

• Technical Problem-Solving: "Describe a complex technical problem you faced during a prototyping project. How did you approach it, what technologies did you use, and what was the outcome?" (Focus on demonstrating systematic problem-solving and technical execution).

• Innovation & Technology: "How do you stay updated on emerging technologies like AI/ML or Agentic Coding, and how would you evaluate their potential application in the logistics industry for a company like DACHSER?" (Assess curiosity, learning methods, and strategic thinking).

• Collaboration & Communication: "Tell me about a time you had to present a technical prototype or research finding to a non-technical audience. How did you tailor your communication, and what was the result?" (Evaluate stakeholder management and presentation skills).

Company & Culture Questions:

• Understanding DACHSER: "What interests you about DACHSER and specifically our R&D division's role in the company's innovation strategy?" (Showcase research into the company and alignment with its mission).

• Teamwork & R&D Culture: "How do you contribute to a collaborative R&D environment, especially when working with diverse teams or external partners?" (Demonstrate understanding of team dynamics and collaborative R&D).

• Impact & Value: "How do you measure the success of a prototype or Proof-of-Concept? What metrics or indicators would you look for to demonstrate its value to the business?" (Focus on results-orientation and strategic impact).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio piece, clearly outline the problem, your solution (prototype), the technologies used, your specific contributions, and the achieved results or learnings.

• Highlight Key Technologies: Emphasize your proficiency with modern programming languages, AI/ML frameworks, Cloud services, and any automation/robotics experience relevant to the job description.

• Quantify Impact: Wherever possible, use data to illustrate the effectiveness of your prototypes or PoCs (e.g., performance improvements, efficiency gains, reduction in errors).

• Showcase Problem-Solving: Walk through your thought process for tackling technical challenges. Explain why you chose certain approaches or technologies.

• Be Ready for Technical Questions: Anticipate detailed questions about your code, architecture, and implementation choices.

📝 Enhancement Note: Interview preparation advice is tailored to an R&D engineering role, focusing on technical depth, problem-solving, innovation, and communication skills, with specific call-outs for portfolio presentation and company-specific research.

📌 Application Steps

To apply for this R&D Engineering position:

• Submit your application through the provided application link on the DACHSER careers portal.

• Customize Your Resume: Highlight your experience in software development, prototyping, and any familiarity with AI/ML, Cloud Computing, Robotics, or Automation. Use keywords from the job description.

• Prepare Your Portfolio: Select 2-3 key projects that best showcase your technical skills, problem-solving abilities, and experience with modern technologies. Be ready to articulate the impact and learnings from each.

• Research DACHSER: Understand DACHSER's business, its role in the logistics industry, and its commitment to innovation (e.g., the Idea2net program). This will help you tailor your responses and demonstrate genuine interest.

• Practice Interview Questions: Prepare answers to common technical and behavioral questions, focusing on STAR method (Situation, Task, Action, Result) for behavioral questions and preparing detailed explanations for your portfolio projects.

⚠️ 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.

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