Starting Salary
⌀ 57.242 €
As a Data Engineer, one earns an average of 66.667€ per year in Germany. This corresponds to a gross monthly salary of 5.556€. The salary as a Data Engineer ranges between 58.895€ and 78.093€.
Nationwide, there are
15 Data Engineer jobs on jobvector.de.Average Salary
66.667 € gross/YearGross salary/Year
Gross salary/Year
The starting salary as a Data Engineer is on average 57.242 € gross per year. This corresponds to a monthly salary of 4.770 € 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 77.749 € gross per year.
Starting Salary
⌀ 57.242 €
With
Experience
⌀ 77.749 €
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.
Ø Gehalt | Jobs | |
---|---|---|
Data Engineering | 66,413€ | Current jobs |
Data Analyst | 60,047€ | Current jobs |
Software Engineer | 56,000€ | Current jobs |
data scientist | 56,000€ | Current jobs |
Data Architect | 60,000€ | Current jobs |
Development engineer | 61,752€ | Current jobs |
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 72.480€ 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:
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.
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.
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.