Data Engineering

Data Engineering covers the collection, modeling, storage, processing and evaluation of extremely large (e.g. social media), rapidly changing (e.g. sensor data) and complex (e.g. ecological systems) data sets. ETL: Extract, Transform, Load (data). Data sets may origin and/or concern all information processes in business. The term complex refers to massive, interrelated and dynamic nature of data sets to be analyzed.

• Graduate Degree in Computer Science or Information Systems, Applied Statistics or Mathematics, Software Engineering.
• 3 to 5 years of working experience.

• Develop data pipelines and apply methods and tools to collect, store, process and analyze complex data sets, globally for assigned operations or functions.
• Design, govern, build and operate solutions for large-scale data architectures and applications across business...