Intern Data Engineer / Data Scientist Finance (m/f/x)

Grow personally as a key player in the global finance team by developing the system landscape, creating data pipelines and BI products that facilitate automation and delivery of complex recurring and ad-hoc tasks across various functions, including global supply chain, sustainability, research & development, innovation, global operations, financial consolidation, planning and analysis Demonstrate and build your expertise in RPA, bots, data governance and programming by achieving data collection, combining, processing and exploratory analysis as well as in shifting the line of sight from descriptive to the development of predictive and adaptive models and their validation Excel and grow your successful track record of building data pipelines, data platforms and combining data to create useful information from various sources and process it into analytical data sets for management decisions Experience and strengthen cross-functional and cross-cultural global collaboration and communication skills by effectively sharing financial and non-financial information across the organization using MS Power Platform and web applications

• Student in one of the following areas: Data Engineering, BI Engineering, Computer Science, Data Science, Data Analytics or similar
• Good analytical skills, problem solving aptitudes and project management experience
• Experience in working with MS Power BI, MS Power App, MS Azure, SAP, Oracle and MS office, especially Excel/ VBA
• Enjoy working in a team and able to work with cross-functional, multi-national teams
• Fluent and hands-on coding experience in at least one programming language
• Fluent English speaking and written language skills Enjoy learning, new experiences and personal development

Benefits

• Drive your own success story through technical and leadership development
• Diverse global team with opportunities for cross-functional experiences
• Challenging work assignments and learning opportunities
• Competitive pay
• Casual dress code, parking spaces, subsidized canteen
• Possibility of discounted membership of gyms and other sports partners