Concept & Prototyping Engineer

📍 Job Overview

Job Title: Concept & Prototyping Engineer Company: Enova Consulting Location: Zürich, Switzerland Job Type: Full-Time Category: Operations & Technology / Engineering Date Posted: September 12, 2025 Experience Level: Mid-Level (2-5 years) Remote Status: Hybrid (2 days remote, 3 days on-site)

🚀 Role Summary

• Drive concept development and prototyping for complex technical environments, focusing on standardization and automation initiatives.
• Leverage modern technologies including Python, cloud services (Azure/AWS/GCP), containerization (Docker/Kubernetes), and APIs for infrastructure design and implementation.
• Spearhead data integration and transformation efforts, particularly with legacy systems, to ensure dynamic content updates and system efficiency.
• Collaborate cross-functionally with subject matter experts, IT specialists, and stakeholders to define and validate scalable infrastructure concepts.

📝 Enhancement Note: This role is positioned at the intersection of operations, engineering, and technology consulting. While not a traditional "Revenue Operations" or "Sales Operations" role, the emphasis on automation, data integration, standardization, and prototyping aligns with core operational efficiency principles crucial for GTM functions. The successful candidate will act as a key enabler for streamlined processes through technological solutions.

📈 Primary Responsibilities

• Conduct thorough analysis of existing system structures, technical dependencies, and data sources to identify areas for standardization and automation.
• Design and document comprehensive concepts for resource standardization and automation, ensuring dynamic content updates across linked systems.
• Develop and implement data integration strategies to transform and ingest data from legacy and heterogeneous sources into modern architectures.
• Build and iterate on prototypes using relevant technologies (Python, scripting, cloud, containerization, APIs) to validate conceptual designs and gather feedback.
• Recommend and integrate suitable technologies for building a scalable, efficient, and modern infrastructure, aligning with client business objectives.
• Collaborate closely with subject matter experts, IT specialists, and client stakeholders to gather requirements, present concepts, and ensure alignment throughout the project lifecycle.
• Utilize scripting languages (Bash/PowerShell) and automation frameworks to implement and test proposed solutions.
• Manage code and configurations using version control systems like Git, adhering to CI/CD best practices.

📝 Enhancement Note: The responsibilities highlight a strong focus on practical application and iterative development, characteristic of a prototyping role. The emphasis on "standardization and automation of resources" and "dynamic updates of all linked content" directly relates to improving operational efficiency and data integrity within a client's technical environment.

🎓 Skills & Qualifications

Education: Higher technical education (e.g., Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field) or equivalent practical experience.

Experience: 2-5 years of hands-on experience in scripting, software development, or a related technical role with a focus on automation and system integration.

Required Skills:

• Proficiency in Python for scripting, automation, and data manipulation.
• Experience with scripting languages such as Bash or PowerShell.
• Hands-on experience with cloud platforms (e.g., Azure, AWS, GCP).
• Demonstrated experience with containerization technologies like Docker and Kubernetes.
• Strong understanding and practical experience with APIs and microservices architecture.
• Knowledge of CI/CD pipelines and relevant tools.
• Experience in data integration, data transformation, and automation tooling.
• Proven ability to handle complex, heterogeneous data sources and perform data ingestion.
• Solid understanding of data management principles and system integration concepts.
• Exceptional analytical mindset, structured working style, and strong conceptual thinking abilities.
• Excellent team player with clear communication skills for interdisciplinary environments.
• Fluent in English (C1 level), enabling effective communication in international settings.
• Proficient in German (B2 level) for seamless collaboration with local teams.

Preferred Skills:

• Exposure to AI technologies and their application in automation or data processing.
• Experience with Git version control and collaborative development workflows.
• Familiarity with modern infrastructure as code (IaC) principles.
• Experience in consulting or client-facing technical roles.

📝 Enhancement Note: The requirement for both English and German proficiency suggests the role involves significant interaction with both international and local Swiss stakeholders, common in consulting environments. The technical stack is comprehensive, pointing towards a need for a versatile engineer adept at modern development and operational technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate projects showcasing the design and implementation of automated workflows or processes using Python or scripting languages.
• Provide examples of data integration projects, highlighting the handling of complex or legacy data sources and transformation techniques.
• Include case studies or examples of prototyping efforts, illustrating the iterative development process and technology validation.
• Showcase experience with cloud services, containerization, or API integrations in practical application scenarios.
• Quantify the impact of automation or standardization efforts where possible (e.g., time saved, efficiency gained, error reduction).

Process Documentation:

• Evidence of designing or documenting technical processes, particularly related to automation, data pipelines, or infrastructure deployment.
• Examples of conceptual frameworks or architectures developed for standardization or system integration.
• Demonstrate ability to articulate technical concepts and process flows clearly for diverse audiences.

📝 Enhancement Note: While not explicitly stated as a "portfolio review" in the interview process, the nature of the role and the skills required imply that candidates will be expected to discuss their past projects and technical contributions. Highlighting projects related to automation, data integration, and prototyping in a resume or cover letter will be crucial.

💵 Compensation & Benefits

Salary Range: Based on industry standards for a mid-level Concept & Prototyping Engineer in Zürich, Switzerland, with 2-5 years of experience and requiring both English and German fluency, the estimated annual salary range is CHF 90,000 - CHF 120,000.

Benefits:

• Hybrid work model with 2 days of remote work per week, offering a balance between flexibility and in-office collaboration.
• Opportunity to work with a leading, internationally renowned client in Zurich.
• Exposure to modern technologies and a cutting-edge technical environment.
• Proximity management fostering a strong team bond and supportive work environment within Enova Consulting.
• Engaging, challenging, and diverse daily activities with no two days being the same.
• Potential for professional development and working alongside industry experts.

Working Hours: The standard working hours are assumed to be approximately 40 hours per week, typical for full-time positions in Switzerland. Flexibility may be offered depending on project needs and client requirements.

📝 Enhancement Note: Salary is estimated based on the provided location (Zurich, Switzerland), experience level (Mid-Level, 2-5 years), and the technical skill set required. Zurich is known for its high cost of living and competitive salaries for skilled professionals in technology and engineering. The benefits focus on work-life balance and professional growth, common in the Swiss tech market.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Consulting / IT Services. Enova Consulting operates in the consulting space, providing expertise to clients across various sectors, likely including technology, finance, or engineering given the role's focus.

Company Size: While not explicitly stated, the description of "proximity management" and a structured 4-step recruitment process suggests a medium-sized consulting firm rather than a very large enterprise or a small startup.

Founded: Information not provided.

Team Structure:

• The Concept & Prototyping Engineer will likely be part of a project team working directly for an Enova client, potentially integrated with the client's internal teams.
• Within Enova, the individual will report to a project manager or a team lead who manages client relationships and project delivery.
• Cross-functional collaboration will be essential, involving close work with client subject matter experts, IT specialists, and potentially other consultants from Enova.

Methodology:

• Emphasis on analytical and structured working styles, with a focus on conceptual thinking and problem-solving.
• Iterative approach to concept development and prototyping, validating assumptions and refining solutions.
• Adherence to modern technology practices, including cloud, containerization, APIs, and CI/CD.
• Data-driven decision-making and a focus on achieving measurable efficiency improvements through automation and standardization.

Company Website: http://enova-consulting.ch

📝 Enhancement Note: Enova Consulting appears to be a firm that values employee development and client-focused delivery. The "proximity management" suggests a supportive internal structure that aims to keep consultants connected to the company despite client-site work.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a Mid-Level Engineer, typically requiring 2-5 years of relevant experience. It offers a hands-on opportunity to deepen expertise in automation, data integration, and modern infrastructure technologies within a consulting framework.

Reporting Structure: The engineer will likely report to a Project Manager or Senior Consultant at Enova Consulting, who oversees client engagements. They will also work closely with client-side technical leads and stakeholders, gaining exposure to different organizational structures and project management styles.

Operations Impact: While not directly a GTM operations role, the impact is significant. By standardizing resources, automating processes, and integrating data, this role contributes to increased operational efficiency, reduced manual effort, improved data accuracy, and faster deployment cycles for the client. These improvements indirectly support business objectives by freeing up resources and enhancing system reliability.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific technologies like Kubernetes, cloud-native architectures, AI for automation, or advanced data engineering.
• Consulting Skills: Develop client management, stakeholder communication, and project leadership skills through exposure to diverse client environments and project challenges.
• Team Leadership: With experience, opportunities may arise to mentor junior engineers, lead smaller project streams, or take on more senior technical advisory roles.
• Broader Operations Understanding: Gain insights into how technical automation and data integration directly impact business operations and strategic goals, potentially leading to future roles with a stronger operational focus.

📝 Enhancement Note: The consulting nature of Enova offers a unique growth path. Professionals can gain broad exposure to different industries and technologies, accelerating their learning curve and career progression compared to staying within a single organization.

🌐 Work Environment

Office Type: The role is hybrid, indicating a mix of remote work and on-site presence. The "on-site" component will likely be at the client's premises in Zurich, which could range from modern corporate offices to specialized technical environments.

Office Location(s): The primary work location is Zurich, Switzerland. Specific client site details would be provided during the interview process.

Workspace Context:

• A dynamic environment involving collaboration with client teams and Enova colleagues, requiring strong interpersonal and communication skills.
• Access to modern technological tools and platforms provided by the client or Enova for development, prototyping, and project management.
• Opportunities for knowledge sharing and problem-solving within both the client's technical ecosystem and Enova's internal consultant network.

Work Schedule: The standard work schedule is likely 40 hours per week, with potential for some flexibility. The hybrid arrangement allows for 2 days of remote work, offering a degree of autonomy in managing one's work environment.

📝 Enhancement Note: The hybrid model is a key feature, balancing the need for in-person collaboration and client interaction with the flexibility of remote work. Candidates should be comfortable working in both settings and adapting to different team dynamics.

📄 Application & Portfolio Review Process

Interview Process:

• Step 1: Initial Video Interview (Teams): Focus on understanding your background, soft skills, hard skills, and alignment with Enova's culture and activities. Prepare to discuss your technical experience and career aspirations.
• Step 2: Second Interview (Teams or Face-to-Face): Meet with Enova management (e.g., client business relations manager) to discuss collaboration and learn more about the role's integration within Enova.
• Step 3: Client Technical Interview: A meeting or technical interview with the client's technical team to assess your suitability for the specific project and its technical requirements. This may involve discussing past projects and technical solutions.
• Step 4: Contract Offer: If mutually a good fit, discuss and present the proposed contract in person at Enova's office.

Portfolio Review Tips:

• Prepare Case Studies: Select 2-3 key projects that best demonstrate your skills in Python, scripting, data integration, automation, cloud, or containerization.
• Quantify Impact: For each project, clearly articulate the problem, your solution, the technologies used, and the quantifiable benefits achieved (e.g., 30% reduction in manual processing time, 99% data accuracy improvement).
• Structure Your Discussion: When discussing projects, follow a STAR (Situation, Task, Action, Result) or SOAR (Situation, Obstacle, Action, Result) method.
• Highlight Prototyping: Be ready to discuss your approach to building prototypes, validating assumptions, and iterating on concepts.
• Technical Depth: Be prepared to discuss technical challenges encountered and how you overcame them, showcasing your problem-solving skills.

Challenge Preparation:

• Technical Test: Be aware that a technical online test, especially for programming skills, may be part of the process. Practice coding challenges in Python.
• Conceptual Thinking: Prepare to discuss your thought process for analyzing existing systems, designing new concepts, and recommending technologies.
• Communication: Practice articulating technical concepts clearly and concisely, as you'll need to communicate effectively with both technical and non-technical stakeholders.

📝 Enhancement Note: The mention of a "technical online test" for programming skills is a critical piece of information, suggesting a practical assessment of coding abilities. Candidates should be prepared for this early in the process. The multi-stage interview process with both Enova and the client indicates a thorough vetting approach.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python (essential), Bash, PowerShell (scripting).
• Cloud Platforms: Azure, AWS, or GCP (experience with at least one is expected).
• Containerization: Docker, Kubernetes.
• APIs & Microservices: Understanding and experience with API design and integration.
• Version Control: Git.

Analytics & Reporting:

• While not explicitly mentioned, tools for data analysis and visualization (e.g., Pandas, Matplotlib, potentially BI tools) might be utilized during data transformation and concept validation.

CRM & Automation:

• Automation Frameworks: Experience with general automation tooling and frameworks will be beneficial.
• CI/CD Tools: Familiarity with tools like Jenkins, GitLab CI, Azure DevOps, or similar for continuous integration and deployment pipelines.
• Data Integration/ETL Tools: Experience with tools or custom solutions for data ingestion and transformation.

📝 Enhancement Note: The core technologies are clearly outlined, emphasizing a modern, cloud-native, and containerized technology stack. Proficiency in Python and scripting is paramount, alongside practical experience with cloud and containerization platforms.

👥 Team Culture & Values

Operations Values:

• Expertise & Innovation: A commitment to leveraging modern technologies and innovative approaches to solve complex client challenges.
• Efficiency & Automation: A strong drive to improve processes through standardization, automation, and data-driven solutions.
• Collaboration & Communication: Valuing teamwork, clear communication, and effective collaboration across diverse teams and skill sets.
• Client Focus: Dedication to understanding and meeting client needs, delivering high-quality technical solutions and consulting services.
• Continuous Learning: An environment that encourages staying updated with the latest technologies and best practices.

Collaboration Style:

• Cross-functional Integration: Working seamlessly with client subject matter experts, IT departments, and Enova project managers.
• Proactive Communication: Engaging actively with stakeholders to gather requirements, provide updates, and present findings or prototypes.
• Feedback-Oriented: Openness to feedback and iterative refinement of concepts and prototypes based on input from peers and stakeholders.
• Problem-Solving Focus: A collaborative approach to tackling technical challenges, sharing knowledge, and jointly developing solutions.

📝 Enhancement Note: Enova's emphasis on "proximity management" and working "alongside experts" suggests a culture that fosters mentorship and team cohesion, even in a consulting environment where individuals may be client-site.

⚡ Challenges & Growth Opportunities

Challenges:

• Legacy System Integration: Integrating modern solutions with potentially outdated or complex legacy systems requires careful planning, data mapping, and robust error handling.
• Diverse Stakeholder Needs: Balancing the technical requirements with the varied expectations and perspectives of different stakeholders (client SMEs, IT, Enova management).
• Rapid Technology Evolution: Staying current with the fast-paced changes in cloud, containerization, and AI technologies to recommend the most effective solutions.
• Prototyping for Validation: Ensuring prototypes effectively validate assumptions and provide clear insights for decision-making, while managing scope and timelines.

Learning & Development Opportunities:

• Hands-on Experience: Gaining practical, in-depth experience with a wide array of leading-edge technologies in real-world client scenarios.
• Skill Deepening: Opportunities to become a specialist in areas like cloud architecture, DevOps practices, data engineering, or AI-driven automation.
• Consulting Acumen: Developing essential consulting skills such as client engagement, problem structuring, and strategic recommendation.
• Networking: Building a professional network within both Enova Consulting and the client organizations.

📝 Enhancement Note: The challenges presented are typical for roles involving modernization and integration. Proactive identification of potential roadblocks and a focus on continuous learning are key to navigating these challenges successfully.

💡 Interview Preparation

Strategy Questions:

• Concept Design: "Describe your process for analyzing an existing system and developing a concept for standardization and automation. What key factors do you consider?" (Prepare to walk through your methodology, including data analysis, technology selection, and stakeholder input.)
• Data Integration: "Can you share an experience where you had to integrate data from disparate or legacy systems? What challenges did you face, and how did you overcome them?" (Focus on data mapping, transformation, ETL processes, and ensuring data integrity.)
• Prototyping: "Walk me through a prototype you built. What problem was it intended to solve, what technologies did you use, and what were the key learnings or outcomes?" (Be ready to discuss your iterative approach and how the prototype informed the final concept.)
• Technology Recommendation: "If you were tasked with recommending technologies for a scalable infrastructure, how would you approach the evaluation and selection process?" (Discuss criteria like cost, performance, scalability, security, and team expertise.)

Company & Culture Questions:

• "What interests you about Enova Consulting and this specific role?" (Research Enova's website and values; connect your skills and career goals to their offerings.)
• "How do you approach collaboration with diverse teams, including subject matter experts and IT specialists?" (Highlight your communication style, active listening, and ability to translate technical concepts.)
• "Describe a time you had to adapt to a new technology or technical environment quickly." (Showcase your learning agility and problem-solving skills.)

Portfolio Presentation Strategy:

• Concise Storytelling: For each project, clearly state the business problem, your role and actions, the technical solution, and the measurable results.
• Visual Aids: If permitted, use diagrams or simple flowcharts to illustrate complex architectures or processes.
• Highlight Key Technologies: Explicitly mention the use of Python, cloud platforms, containerization, APIs, etc., in your project descriptions.
• Focus on Impact: Emphasize how your work delivered value, such as increased efficiency, reduced costs, improved data quality, or enhanced system performance.
• Technical Depth: Be prepared to answer detailed technical questions about your projects.

📝 Enhancement Note: Given the mention of a technical online test, ensure your preparation includes hands-on coding practice in Python. The interview process emphasizes both technical competence and cultural fit with Enova and its clients.

📌 Application Steps

To apply for this Concept & Prototyping Engineer position:

• Submit your application through the provided link on join.com.
• Resume Optimization: Tailor your resume to highlight experience with Python, scripting (Bash/PowerShell), cloud platforms (Azure/AWS/GCP), containerization (Docker/Kubernetes), APIs, CI/CD, and data integration/automation. Quantify achievements wherever possible.
• Portfolio Preparation: Mentally prepare to discuss 2-3 key projects that showcase your skills in automation, data integration, and prototyping. Focus on the problem, your solution, and the impact.
• Technical Test Practice: If a technical online test is anticipated, dedicate time to practicing Python coding challenges and reviewing concepts related to data structures, algorithms, and potentially cloud services.
• Company Research: Familiarize yourself with Enova Consulting's services, client focus, and values. Understand the hybrid work model and the importance of communication in a consulting environment.

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