Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group.
Our values are:
INTEGRITY – we do what is right
COLLABORATION – we trust each other
COURAGE – we drive change and innovation
EXCELLENCE – we deliver exceptional value to our customers
🌏 You will work for a successful global company in an international environment.
Are you ready for a new challenge? Then you might be the one we are looking for!
➡️ About the company:
We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment, or aggression—whether verbal or physical, direct or indirect—against individuals or material objects.
We offer:
- The opportunity to work in the fast growing worldwide company
- Attractive remuneration based on your experience, skills and development
- The opportunity to participate in the international projects and a significant influence on company IT development
- Stable employment and social package (private medical care and other benefits)
- Extensive trainings in your area of responsibility
Tasks and Qualifications:
Your role:
- Design and develop digital solutions in the area of data analytics and machine learning to derive added value from large volumes of data for our internal and external customers
- Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms
- Evaluate and select potential technologies and execute feasibility studies (PoC)
- Participate in design workshops for prototype development and contribute technical perspectives and experience
- Collaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, product owners, designers, and software engineers
Your profile:
- Completed studies in computer science, mathematics, physics, or a comparable education
- Experience in design, implementation, and maintenance of data-intensive applications
- Knowledge and experience in several of the following areas:
- Application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning)
- Development with Python and the corresponding data science stack (esp. Pandas, NumPy, SciKit-Learn)
- Visualization of complex interrelationships with Power BI and Python (esp. Plotly, Matplotlib, Seaborn)
- Data modeling and data management, databases and database queries (e. g. SQL and NoSQL)
- Distributed systems and common big data technologies (Hadoop/data lakes, Spark/Databricks).
- Development of data pipelines with Java or Python
- Use of cloud-based platforms, ideally Azure
- Experience with agile software development methods, ideally Scrum
- Strong conceptual and analytical skills
- High degree of initiative and solution orientation
- Fluent in English, Spanish is nice to have and German is a plus