Big data and analytics are becoming increasingly important for the business of major companies. Both data engineers and big data engineers use different technologies for the generation, storage, maintenance and preparation of large amounts of data. They collate data and transfer them to an analysis infrastructure.
In the context of digitalisation, data are considered one of the most important resources of the 21st century. Therefore, the demand for qualified IT specialists is growing. Large companies in particular require the help of (big) data engineers to collect huge amounts of business-relevant data. Consequently, the career prospects of these experts are excellent. They are not only sought-after by companies in the field of information technology, but also in industries such as healthcare, engineering and finance. Get in touch with your personal contact person at Hays to find out more!
Depending on their function within the company, data engineers are either referred to as big data engineers or big data architects. They develop data infrastructures combining internal and external data sources, which are then used by data scientists for further analyses. Moreover, data engineers are responsible for the generation, maintenance, preparation and storage of current data.
In general, an academic degree in computer sciences or a related qualification and relevant professional experience are required to work as a data engineer.
In the course of their career, data engineers can become senior data engineers, business intelligence architects and (big) data architects/engineers. Their gross annual salary varies between EUR 45,000 and EUR 70,000, depending on experience, qualifications and company size.
As big data is an IT trend on the rise, the demand for qualified data engineers is high. We help you find your desired position, taking into consideration your qualifications and experience. Learn more about the benefits of finding a job with Hays!
