Salary in the field of Data Engineering in Germany

What does one earn in the field of Data Engineering?

Employees in the field of Data Engineering earn an average of 66.413€ per year in Germany. This corresponds to a gross monthly salary of 5.534€. The salary for professionals in the field of Data Engineering ranges between 52.690€ and 77.597€.

Nationwide, there are

63 Data Engineering jobs on jobvector.de.

Average Salary

66.413 € gross/Year
To give you a realistic assessment of your potential income, we use the 25th and 75th percentiles of our salary data for salary values (min, max). This improves the quality of our salary information by excluding distorting (extremely high and low) salaries.
min. 52.690 €

Gross salary/Year

max. 77.597 €

Gross salary/Year

Year Month
Demand in the job market for positions in the field of Data Engineering is currently high, and many companies are looking for suitable professionals. Among the employers currently seeking applicants in the field of Data Engineering are:

Starting salary in the field of Data Engineering

The starting salary in the field of Data Engineering is on average 52.667 € gross per year. This corresponds to a monthly salary of 4.389 € gross.

Your chances of a higher salary increase with your work experience, as you can often take on more responsibility.

With several years of work experience in the field of Data Engineering, your average salary is 79.125 € gross per year.

Starting Salary

⌀ 52.667 €

With
Experience

⌀ 79.125 €

Similar Interesting Fields

As a professional in the field of Data Engineering, you have numerous specialization opportunities and related fields, such as

Data Engineer , Software Engineering , data science ,

for which you could also be qualified with your knowledge.

Skills in the field of Data Engineering

In addition to soft skills such as communication, flexibility, and teamwork, employers expect a variety of relevant hard skills and abilities for the field of Data Engineering. The most important skills include: Data , Data pipelines , big data , Digital Engineering , SQL ENGINEER , ETL , ETL processes , Data extraction .

What factors influence your salary in the field of Data Engineering?

There are several career factors that influence your salary in the field of Data Engineering. Average salary tends to increase with the size of the company you work for. In large corporations, salaries are often higher compared to start-ups and small companies. However, in smaller companies, you may have the opportunity to advance more quickly on the career ladder.

One of the key factors affecting your salary in the field of Data Engineering is your work experience. With each year on the job, you gain valuable knowledge and experience that become increasingly better compensated over time. In just a few years, you transition from a beginner to a young professional. After more than 10 years of experience, you can then be considered a professional. With increasing experience, you also have the opportunity to move into positions with personnel responsibility. A position with personnel responsibility is generally paid significantly better, and there are further factors influencing your salary here as well. For example, a department head with personnel responsibility for over 20 employees earns more than a group leader responsible for 5 employees.

Your educational qualification, the city, and the federal state where you work are also factors that influence your salary.

Data Engineering - Latest salary data 2025

How up-to-date is the salary data in the Data Engineering area?

At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the Data Engineering sector have changed significantly over the last few years due to factors such as rising wage levels, inflation, new legal regulations, bonus payments and tax adjustments. It is therefore particularly important to us to present up-to-date data that gives you as an applicant a good and realistic basis for the next salary negotiation.

The salary information on jobvector is consistently kept up to date and is never more than three years old. This up-to-dateness guarantees you a precise and clearly structured overview of the salary structures in the Data Engineering sector, and effectively supports you in preparing for your salary negotiations.

Further job vacancies in the Data Engineering field

Establishment of a unique formate/methanol assimilation pathway Development of bioproduction pathways for value-added chemicals Engineering and evolution of microbes Strain characterization and optimization Application of high-throughput technologies and lab automation ...
The group of Dr. Florian Büther and Prof. Philipp Backhaus is embedded both in the inter-faculty European Institute of Molecular Imaging, University of Münster, and the Department of Nuclear Medicine, University Hospital Münster. Our research focuses on mechanisms of the innate i...
Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms: 100% of the full-time weekly hours. Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigur...
All Data Engineering Jobs

Frequently asked questions about Data Engineering salaries

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The salary data presented here is based on salary information provided by employers in job advertisements as well as salary information from over 10,000 professionals and managers from surveys conducted by jobvector.

These professionals bring a variety of experience and expertise from different companies and positions, making the salary data a comprehensive and meaningful source of average salaries.

It is important to emphasize that this salary data represents averages and cannot be directly attributed to individual job postings. However, they do provide valuable guidance and insight into the salary structures of the field being sought for both job seekers and employers.