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Process Engineer with Data Science Experience (m/w/d)

Company Description

Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. 

Transforming Waste into Value

At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond.

Job Description

We are looking for an Engineer who enjoys programming, has a flair for data analysis and has a "customer first, can-do" attitude

Your responsibilities will be:

  • Conduct detailed data analysis and leverage specific plant knowledge to ensure long-term economical operation of Kanadevia Inova plants, including compliance with guaranteed values and design specifications
  • Develop and implement corrective actions, monitor their effectiveness, and prepare comprehensive reports, including root cause and trend analyses
  • Optimize operational parameters such as energy consumption, resource usage, and operating times through the creation of advanced analysis tools and algorithms
  • Ensure data quality for new and existing plants, manage automatic standard reports, and perform fleet analyses to identify and address operational challenges
  • Collaborate closely with other departments, contribute improvement suggestions for future projects and readiness to travel as needed (10–20%)

Qualifications

Job-specific qualification

  • Holds a Master’s degree in Engineering (MSc Eng.), preferably in mechanical, process, or chemical engineering, with substantial experience in large-scale plant construction or operation, particularly in waste incineration or dry anaerobic digestion
  • Demonstrates strong analytical thinking, enjoys solving technical problems, and effectively works in interdisciplinary and cross-departmental teams
  • Possesses the ability to identify, adapt, and implement practical solutions based on extensive experience and best practices, even in complex scenarios
  • Capable of working independently by applying guidelines, procedures, and regulations, with a hands-on approach and a practitioner mindset
  • Excels in persuasive communication, particularly during challenging discussions, and collaborates effectively to address cross-functional challenges

Methodological competence

  • Possesses excellent communication skills in German and English; additional language skills are advantageous
  • Demonstrates strong analytical thinking and enjoys developing and implementing solutions to technical challenges
  • Proficient in MS Office, with user knowledge of CAE tools (e.g., Comos) and database administration.
  • Exhibits a high level of quality awareness, entrepreneurial mindset, and the ability to think and act in a networked manner
  • Familiarity with Python, R, Power BI, Tableau, Flux, and SQL is advantageous, combined with a "Continuous Learning" and "Digitalisation" mindset, as well as good knowledge of functional diagrams and descriptions

Additional Information

Employee perks, benefits

  • Attractive compensation package
  • 40-hour workweek with 30 vacation days per year
  • Opportunities for personal development in an international company with flexible training options
  • Two days of remote work per week
  • Option to participate in a company pension scheme

For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.

Average salary estimate

$70000 / YEARLY (est.)
min
max
$60000K
$80000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Process Engineer with Data Science Experience (m/w/d), Kanadevia Inova

At Kanadevia Inova, a pioneering leader in the waste infrastructure sector located in Köln, we're seeking a dynamic Process Engineer with Data Science Experience. In this role, you will be at the forefront of transforming waste into valuable resources like energy and fertilizers. If you're someone who thrives in a collaborative environment, enjoys tackling technical problems, and believes in a 'customer first' philosophy, we want to hear from you! Your responsibilities will include detailed data analysis, monitoring the performance of our plants to ensure they run efficiently, and developing corrective actions to overcome operational challenges. You'll be crafting advanced analysis tools to optimize resource usage and energy consumption, all while compiling insightful reports that drive our success. While your primary base will be at our exciting facility in Köln, you may have opportunities for travel to other sites 10-20% of the time. With a master's degree in engineering - ideally mechanical, process, or chemical - and a knack for data and programming, you'll be perfectly positioned to make a significant impact. If you have strong analytical skills, enjoy working on complex problems, and are adept with tools like Python, R, or Power BI, this might just be the role for you. Join us on our journey to create a sustainable future through innovative waste management solutions!

Frequently Asked Questions (FAQs) for Process Engineer with Data Science Experience (m/w/d) Role at Kanadevia Inova
What responsibilities does a Process Engineer with Data Science Experience have at Kanadevia Inova?

As a Process Engineer with Data Science Experience at Kanadevia Inova, your main responsibilities include conducting detailed data analyses, ensuring the economical operation of our plants, optimizing operational parameters to reduce energy consumption, and managing data quality for existing plants. You will also be involved in developing corrective actions and creating comprehensive reports to monitor effectiveness.

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What qualifications are required for the Process Engineer position at Kanadevia Inova?

To qualify for the Process Engineer role at Kanadevia Inova, candidates should hold a Master’s degree in Engineering, preferably in mechanical, process, or chemical engineering. Additionally, substantial experience in large-scale plant construction or operation, especially in waste management, is essential. Strong analytical thinking and the ability to work in interdisciplinary teams are also critical qualifications.

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What skills are beneficial for a Process Engineer at Kanadevia Inova?

Beneficial skills for a Process Engineer with Data Science Experience at Kanadevia Inova include proficiency in programming languages such as Python and R, knowledge of data visualization tools like Power BI and Tableau, and strong analytical and problem-solving abilities. Excellent communication skills in both German and English are also advantageous in this role.

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What opportunities for development does Kanadevia Inova offer to its Process Engineers?

Kanadevia Inova values personal development and offers flexible training options within the company. As a Process Engineer, you will have the opportunity to grow your skills in a supportive international environment, participate in workshops, and engage in continuous learning to enhance your professional expertise.

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Is remote work possible for the Process Engineer role at Kanadevia Inova?

Yes, Kanadevia Inova offers the flexibility of two days of remote work per week for the Process Engineer position. This allows for a better work-life balance while still collaborating effectively with your team and contributing to innovative projects.

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Common Interview Questions for Process Engineer with Data Science Experience (m/w/d)
How do you approach complex data analyses as a Process Engineer?

When approaching complex data analyses, I begin by clearly defining the objectives of the analysis and the data sources available. I utilize statistical methods and programming languages like Python to extract meaningful insights, allowing me to identify trends and make informed decisions.

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Can you describe a time when you solved a technical problem in a team setting?

In a previous project, our team faced a significant technical issue related to energy efficiency. I initiated a brainstorming session where we collectively dissected the problem. By leveraging everyone's expertise, we created a robust solution that optimized resource usage, showcasing the effectiveness of teamwork.

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What strategies do you use for monitoring plant operations?

I utilize advanced analytical tools and software to continuously monitor plant operations. Setting up automated standard reports and conducting regular fleet analyses helps me identify operational challenges promptly, allowing for quick corrective actions.

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How do you ensure data quality in your analyses?

To ensure data quality, I implement rigorous data validation techniques, including cross-checking with reliable sources and utilizing data cleaning methods in Python. Regular audits and reviews also play a vital role in maintaining the integrity of the data.

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What role does continuous learning play in your career as an engineer?

Continuous learning is crucial in the ever-evolving engineering field. I engage in professional development through workshops, online courses, and industry conferences. This mindset helps me stay updated on the latest technologies and methodologies, enabling me to contribute effectively.

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How do you handle difficult discussions with stakeholders?

I approach difficult discussions with transparency and openness. By actively listening to stakeholders’ concerns and providing well-researched insights, I aim to develop consensual solutions that address challenges while maintaining positive relationships.

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What software tools do you find most effective in your work?

I find tools like Power BI for data visualization, SQL for database management, and Python for analytical tasks to be exceptionally effective. These tools enhance my ability to analyze data and present it in a clear, comprehensible manner to stakeholders.

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Describe your experience with large-scale plant operations.

My experience with large-scale plant operations involves overseeing various processes, ensuring compliance with technical specifications, and leveraging data analytics to optimize performance. I've collaborated with cross-functional teams to implement successful operational improvements.

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How do you keep up with advancements in waste management technologies?

I keep up with advancements in waste management technologies by subscribing to relevant journals, attending industry seminars, and participating in professional networks. This proactive approach allows me to stay informed and apply the latest innovations in my work.

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What motivates you to work in the waste management sector?

I am motivated by the opportunity to contribute to sustainable practices that positively impact the environment. The waste management sector is transforming waste into valuable resources, and being part of this innovative process truly inspires me.

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Full-time, hybrid
DATE POSTED
December 12, 2024

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