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

Kanadevia Inova; Köln; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A global innovation leader in waste infrastructure seeks an Engineer in Köln. This role involves conducting data analysis, optimizing operational parameters, and collaborating with departments. Candidates should possess a Master’s degree in Engineering and strong analytical skills. A competitive compensation package, remote work, and opportunities for development are offered.

Leistungen

Attractive compensation package

30 vacation days per year

Two days of remote work per week

Participation in a company pension scheme

Qualifikationen

• Holds a Master’s degree in Engineering with significant experience in plant construction or operation.
• Strong analytical thinking and problem-solving skills.
• Able to communicate effectively in German and English.

Aufgaben

• Conduct detailed data analysis to ensure operational efficiency.
• Develop corrective actions and monitor their effectiveness.
• Collaborate with other departments for continuous improvement.

Kenntnisse

Analytical thinking

Problem-solving

Communication in German

Communication in English

Knowledge of Python

Knowledge of SQL

Ausbildung

Master’s degree in Engineering (MSc Eng.)

Tools

MS Office

CAE tools (e.g., Comos)

Power BI

Tableau

Jobbeschreibung

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.