Salary as Data Engineer

What does one earn as Data Engineer?

As a Data Engineer, one earns an average of 62.500€ per year in Germany. This corresponds to a gross monthly salary of 5.208€. The salary as a Data Engineer ranges between 54.774€ and 70.000€.

Nationwide, there are

16 Data Engineer jobs on jobvector.de.

Average Salary

62.500 € 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. 54.774 €

Gross salary/Year

max. 70.000 €

Gross salary/Year

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

Starting salary as Data Engineer

The starting salary as a Data Engineer is on average 56.143 € gross per year. This corresponds to a monthly salary of 4.679 € gross.

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

As a Data Engineer with several years of work experience, your average salary is 70.000 € gross per year.

Starting Salary

⌀ 56.143 €

With
Experience

⌀ 70.000 €

Job vacancies as Data Engineer

All Data Engineer Jobs

Similar Interesting Professions

As a Data Engineer, you have numerous specialization opportunities and related professions, such as

Data Engineering , Data Analyst , Software Engineer ,

for which you could also be qualified with your knowledge.

Skills as Data Engineer

In addition to soft skills such as communication, flexibility, and teamwork, employers expect a variety of relevant hard skills and abilities for the profession as Data Engineer. The most important skills include: Data , Data Engineering , Data Analytics , Data pipelines , SQL ENGINEER , ETL , ETL processes , data warehousing , Data Lake , Data Warehouse .

Salary as Data Engineer
by City

Where do you earn the most as a Data Engineer? Currently, you earn the most as a Data Engineer in Karlsruhe with an average salary of 65.835€ per year.

In general, the salary as a Data Engineer is usually higher in large cities than in small towns. Large cities and metropolises often offer higher salaries, although the cost of living is also higher.

In which city you can earn particularly high salaries as a Data Engineer, you will find out in this table:

Ø Gehalt Gehaltsspanne
München 65,000€ 61,401 € - 67,500€
Köln 50,000€ 40,000 € - 61,875€
Düsseldorf 50,000€ 40,000 € - 61,875€
Wuppertal 50,000€ 40,000 € - 61,875€
Karlsruhe 65,835€ 52,668 € - 79,125€
Wiesbaden 57,242€ 54,774 € - 68,811€
Mainz 57,242€ 54,774 € - 68,811€
Leverkusen 50,000€ 40,000 € - 61,875€
Darmstadt 57,242€ 54,774 € - 68,811€
Solingen 50,000€ 40,000 € - 61,875€
Neuss 50,000€ 40,000 € - 61,875€
Pforzheim 60,439€ 53,262 € - 75,802€
Bergisch Gladbach 50,000€ 40,000 € - 61,875€
Remscheid 50,000€ 40,000 € - 61,875€
Rüsselsheim am Main 57,242€ 54,774 € - 68,811€
Langenfeld (Rheinland) 50,000€ 40,000 € - 61,875€
Hilden 50,000€ 40,000 € - 61,875€
Erkrath 50,000€ 40,000 € - 61,875€
Rastatt 65,835€ 52,668 € - 79,125€
Monheim am Rhein 50,000€ 40,000 € - 61,875€
Landau in der Pfalz 65,835€ 52,668 € - 79,125€
Ettlingen 65,835€ 52,668 € - 79,125€
Langen (Hessen) 57,242€ 54,774 € - 68,811€
Fürstenfeldbruck 65,000€ 61,401 € - 67,500€
Leichlingen (Rheinland) 50,000€ 40,000 € - 61,875€
Starnberg 65,000€ 61,401 € - 67,500€
Eschborn, Taunus 57,242€ 54,774 € - 68,811€
Puchheim, Oberbayern 65,000€ 61,401 € - 67,500€
Taufkirchen, Kreis München 65,000€ 61,401 € - 67,500€
Gilching 65,000€ 61,401 € - 67,500€
Show more cities

What factors influence your salary as Data Engineer?

There are several career factors that influence your salary as a Data Engineer. 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 as a Data Engineer 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 Engineer - Latest salary data 2024

How up-to-date is the Data Engineer salary data?

At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Income as an Data Engineer has 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 timeliness guarantees you a precise and clearly structured overview of salary structures as an Data Engineer, and effectively supports you in preparing for your salary negotiations.

Further job vacancies as Data Engineer

All Data Engineer Jobs

The salary information presented here is based on salary data provided by employers in job postings as well as surveys of over 10,000 professionals in the STEM field conducted by jobvector.

These professionals bring a wealth of experience and expertise from various companies and positions, making the data a comprehensive and meaningful source for average values.

It is important to emphasize that these salary figures represent averages and cannot be directly attributed to individual job postings. However, they provide valuable guidance and insights into salary structures in the STEM field for both job seekers and employers.