• FULL TIME
• Mülheim-Kärlich, Germany
• Remote/ Hybrid possible

Today, we are not utilizing resources in a sustainable way. In fact, the world is only 9% circular, meaning much of the Earth’s precious resources are only used once, leaving huge untapped potential for more sustainable resource management. TOMRA provides cutting-edge solutions for optimal resource productivity within the recycling, mining and food industries and is therefore uniquely positioned to shape the Circular Economy, creating demand for this way of thinking in the world. At TOMRA we want to be a thought leader, encouraging a more sustainable way of thinking and inspiring active change around the world.

As a Data Engineer at Core R&D, you will have the opportunity to contribute to cutting-edge projects in the field of data analytics and recycling sorting.

You will play a crucial role in performing, monitoring, and evaluating data analytics services for TOMRA Recycling Sorting. Your primary responsibility will be to ensure the implementation of state-of-the-art procedures for managing, versioning, cleaning, and conducting exploratory analysis on datasets used for recyclables classification.

Key Responsibilities:

• Implement and maintain cutting-edge procedures for dataset management, versioning, cleaning, and exploratory analysis.
• Collaborate with the team to develop and implement prescriptive and predictive modeling techniques.
• Create and deploy reporting tools to conduct comprehensive analysis of classification accuracies across various domains and time periods.
• Develop software solutions to support service technicians in their daily tasks and optimize their workflows.
• Conduct tests and experiments to identify opportunities for machine performance improvement and contribute to ongoing optimization efforts.
• Stay abreast of emerging technologies, trends, and developments in the data engineering field, and actively share knowledge and insights with colleagues.

• Bachelor’s Degree or higher, preferably in computer science, natural science, or engineering with a focus on data analytics & science.
• Strong background and experience in data science and analytics, including data mining, machine learning, machine vision, deep learning, time series analyses, or other related fields.
• Proficiency in Python and data analysis in distributed environments such as Microsoft® Azure, Kubernetes, or Apache Spark.
• Previous work experience in a similar role is a plus.
• Experience in C++ is a plus.
• Good English skills, both spoken and written.
• Basic knowledge of German or the willingness to learn German.

Your benefits

• 30 days annual leave;
• Supported company pension scheme;
• Supported group accident insurance;
• International SOS for private use;
• Hybrid working principles, flexible working hours;
• Opportunity to purchase TOMRA shares;
• Employee benefit discounts for TOMRA Online Shop;
• Company (e-) bike leasing;
• Gym membership coverage support;
• Office comfort: free parking spaces, canteen, coffee machines;
• Professional and personal development: learning on the job, specialized course, conferences etc.;
• Coaching opportunities - Individual Development Programs;
• Norwegian corporate culture (no hierarchical thinking, transparent communication culture).

Are you interested?

Please send your updated CV in English.

Join our team and make a difference in creating a sustainable future!

TOMRA is an equal opportunity employer, where we recognize the diversity of our workforce and community – be it on the basis of gender, age, culture, religion, language or personal circumstances. TOMRA is also committed to building on the perspectives, experience, knowledge and skills that this diversity brings to our organization.

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