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Data Engineer (m/f/d)

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Data engineers: ensuring the supply of relevant data within companies

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.

Which opportunities do data engineers have on the labour market?

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!

What are the tasks of data engineers?

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.

  • Responsibility for collating data
  • Preparation of data for further processing by data scientists
  • Ensuring the quality, reliability and performance of the IT infrastructure
  • Integration of data into a central, robust and flexible analysis infrastructure
  • Modelling of scalable database architectures
  • Improvement of the IT infrastructure with regard to IT security, data protection and data security
  • Working in a team

Which hard skills and soft skills should data engineers have?

In general, an academic degree in computer sciences or a related qualification and relevant professional experience are required to work as a data engineer.

  • An academic degree in computer sciences or business informatics with focus on data development and software engineering
  • Technical understanding of big data infrastructures and technologies
  • Good command of software and programming languages and good knowledge of machine learning
  • Excellent skills in working with databases
  • Analytical skills
  • Strong communication skills for the presentation of analysis results

What is the average salary of data engineers?

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.

Find your ideal job as a data engineer – with Hays

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!!

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