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

Kanadevia Inova Deutschland GmbH

  • Köln
  • Veröffentlicht am: 12. Dezember 2024
Jobbeschreibung

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.


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%)

  • 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

  • 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
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