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Data Engineer (m/f/d)

What does a data engineer do?

Data engineers provide companies with the most important asset: Data. In the course of digitalization, the need for qualified IT specialists is constantly growing in data-driven organisations. And these professionals collect the most important "raw material" of the 21st century, prepare it and then evaluate it.

In order to convey important information to their companies, data engineers (also known as big data engineers) use comprehensive technological possibilities and tools to generate, store and process large amounts of data. As a result, they merge the processed data into an analysis infrastructure for the next work process and then hand this data over to their colleagues.

The opportunities on the labour market therefore look extremely good. In addition to companies in the field of information technology, organisations from the fields of healthcare, engineering and finance are also looking for well-trained data engineers.

In many larger companies, the data engineer therefore meets an ever-increasing need for specialists who deal with the forward-looking topics of big data and analytics. Therefore, this position occupies an integral part of the entire team.

Data Engineer

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Are you looking for a job as a data engineer (m/f/d)?

If your heart beats for the topic of data in the greater context, you should take a closer look at the job description of a data engineer. This person deals with the starting point of project analysis related to data science projects. If you enjoy contributing your database knowledge and understanding of big data, we should take the next step in your data engineer career together. We look forward to getting to know you.

Find data engineer jobs

Are you looking for an experienced data engineer (m/f/d)?

Did you recognise early on that big data is one of the big trends and important topics in the IT sector in the future? Whether Industry 4.0, IoT (Internet of Things) or the customer journey: As a company, you are always dependent on the support of a big data engineer when the preparation and targeted use of large amounts of data becomes increasingly decisive for your company's competitiveness.

Find a qualified data engineer

Are you looking for an exciting project as a data engineer (m/f/d)?

Have you already successfully completed various projects in the field of big data? Have you used your knowledge of software, programming languages and machine learning for various clients? If you are currently looking for new exciting projects, we should have a chat with one another. Together we will find new challenges for you in which you can incorporate your experience.

Find current projects as a data engineer

Data engineer tasks: These are your challenges

As already mentioned, the processing of data, also known as handling, occupies the essential task area of data engineers. To do this, they use a variety of different technologies and tools, such as:

  • Big data technologies such as Hadoop, Apache Spark and other no-SQL databases,
  • Cloud technologies such as AWS S3,
  • Relational databases, or
  • ETL-Tools.

Data engineers always work at the interface between hardware and data processing. They adapt algorithms and tools according to their project requirements and thus continuously generate important data. In addition, the development and monitoring of the IT infrastructure also falls within the remit of the data engineer.

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As already mentioned, the processing of data, also known as handling, occupies the essential task area of data engineers. To do this, they use a variety of different technologies and tools, such as:

  • Big data technologies such as Hadoop, Apache Spark and other no-SQL databases,
  • Cloud technologies such as AWS S3,
  • Relational databases, or
  • ETL-Tools.

Data engineers always work at the interface between hardware and data processing. They adapt algorithms and tools according to their project requirements and thus continuously generate important data. In addition, the development and monitoring of the IT infrastructure also falls within the remit of the data engineer.

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Big-data engineer salary

The demand for data engineers is constantly increasing on the job market. Therefore, you can expect a lavish salary – of course depending on your qualification and experience. With increasing experience, they develop into senior data engineers, later into business intelligence architects and finally into (big) data architects or big data engineers. Depending on their career level and company size, big data engineers earn between EUR 45,000 and 75,000. Especially in German metropolises, salaries can be greatly above average.

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The demand for data engineers is constantly increasing on the job market. Therefore, you can expect a lavish salary – of course depending on your qualification and experience. With increasing experience, they develop into senior data engineers, later into business intelligence architects and finally into (big) data architects or big data engineers. Depending on their career level and company size, big data engineers earn between EUR 45,000 and 75,000. Especially in German metropolises, salaries can be greatly above average.

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Data engineer – opportunities on the job market

As the demand for data engineers has increased immensely in recent years, career changers from various areas are increasingly being entrusted with tasks related to big data.

Data engineers are needed across industries in many companies that come into contact with Industry 4.0, IoT or customer journey. Engineers from mechanical engineering, the automotive sector or the chemical industry who opt for lateral entry are particularly in demand.

Currently, you can benefit from many free job opportunities in mechanical and plant engineering, the automotive sector or chemical industry. In addition, organisations in public administration and marketing are increasingly looking for data engineers.

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As the demand for data engineers has increased immensely in recent years, career changers from various areas are increasingly being entrusted with tasks related to big data.

Data engineers are needed across industries in many companies that come into contact with Industry 4.0, IoT or customer journey. Engineers from mechanical engineering, the automotive sector or the chemical industry who opt for lateral entry are particularly in demand.

Currently, you can benefit from many free job opportunities in mechanical and plant engineering, the automotive sector or chemical industry. In addition, organisations in public administration and marketing are increasingly looking for data engineers.

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What training should a data engineer have completed?

At the moment, unfortunately, there is no course of study in Germany that focuses on the topic of data engineering. Therefore, the job as a data engineer is a classic career changer. As a data engineer, specialists from (business) computer science and computer technology or statistics can work.

Immense opportunities to pursue a promising career as a data engineer are currently opening up for more than just university graduates seeking a career change. Even if you are a data technician and who has completed statistics training, the demand is there, and you can further qualify as a data engineer according to the "learning on the job" principle.

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At the moment, unfortunately, there is no course of study in Germany that focuses on the topic of data engineering. Therefore, the job as a data engineer is a classic career changer. As a data engineer, specialists from (business) computer science and computer technology or statistics can work.

Immense opportunities to pursue a promising career as a data engineer are currently opening up for more than just university graduates seeking a career change. Even if you are a data technician and who has completed statistics training, the demand is there, and you can further qualify as a data engineer according to the "learning on the job" principle.

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What skills and characteristics should a data engineer have?

On the job, data engineers regularly exchange ideas with people from other departments and customers. Therefore, these specialists need strong communication skills to solve problems in the team and ultimately lead projects to success.

Likewise, data engineers with their hands-on mentality should motivate other employees and also proactively look for solutions and optimizations if systems and data processes do not work as intended.

In summary, data engineers should have the following technical and soft skills to perform their tasks efficiently and effectively:

  • Technical understanding of big data infrastructures and technologies
  • Knowledge of software, programming languages and machine learning
  • Excellent database knowledge
  • Analytical skills
  • Communication skills for the presentation of analysis results
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On the job, data engineers regularly exchange ideas with people from other departments and customers. Therefore, these specialists need strong communication skills to solve problems in the team and ultimately lead projects to success.

Likewise, data engineers with their hands-on mentality should motivate other employees and also proactively look for solutions and optimizations if systems and data processes do not work as intended.

In summary, data engineers should have the following technical and soft skills to perform their tasks efficiently and effectively:

  • Technical understanding of big data infrastructures and technologies
  • Knowledge of software, programming languages and machine learning
  • Excellent database knowledge
  • Analytical skills
  • Communication skills for the presentation of analysis results
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Find your next dream job as a data engineer or employee with Hays

Are you looking for a new professional field of activity as a multi-qualified and experienced data engineer? With us, you will find a challenge that meets your expectations. We connect you with promising contacts from well-known companies. And in a personal conversation we will together find out what your specific ideas are and what goals you want to achieve in the future.

Through our innovative "Find & Engage" concept, we establish contact between companies and experts. As we always pay attention to the demands and wishes of both sides, we only introduce those people who actually fit together.

If the skills, experience and wishes of candidates match the job requirements of a company's data engineer, we will introduce you to each other. If you are then on the same wavelength in the discussions, we will coordinate the contractual terms together with both parties.

Einklappen Mehr Infos

Are you looking for a new professional field of activity as a multi-qualified and experienced data engineer? With us, you will find a challenge that meets your expectations. We connect you with promising contacts from well-known companies. And in a personal conversation we will together find out what your specific ideas are and what goals you want to achieve in the future.

Through our innovative "Find & Engage" concept, we establish contact between companies and experts. As we always pay attention to the demands and wishes of both sides, we only introduce those people who actually fit together.

If the skills, experience and wishes of candidates match the job requirements of a company's data engineer, we will introduce you to each other. If you are then on the same wavelength in the discussions, we will coordinate the contractual terms together with both parties.

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