Salary in the field of Optimization in Germany

What does one earn in the field of Optimization?

Employees in the field of Optimization earn an average of 57.557€ per year in Germany. This corresponds to a gross monthly salary of 4.796€. The salary for professionals in the field of Optimization ranges between 50.688€ and 68.077€.

Nationwide, there are

19 Optimization jobs on jobvector.de.

Average Salary

57.557 € 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. 50.688 €

Gross salary/Year

max. 68.077 €

Gross salary/Year

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

Starting salary in the field of Optimization

The starting salary in the field of Optimization is on average 52.206 € gross per year. This corresponds to a monthly salary of 4.351 € 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 Optimization, your average salary is 65.141 € gross per year.

Starting Salary

⌀ 52.206 €

With
Experience

⌀ 65.141 €

Similar Interesting Fields

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

Optimization projects , Process optimization , Product optimization ,

for which you could also be qualified with your knowledge.

Salary in the field of Optimization
Degree vs. Apprenticeship

Whether you pursue a degree or an apprenticeship not only determines the positions you may qualify for in a company but also significantly impacts your salary. Typically, with an academic degree, your starting salary is higher than with a vocational training. However, your salary is not set in stone - through work experience and additional qualifications, you always have the opportunity to advance and increase your salary further.

The type of degree you obtain can also affect your salary. The average salary for master's graduates is higher than for bachelor's graduates, and with a master's degree, you have better chances of quickly attaining a position with personnel responsibility. However, salary alone should never be your sole decision criterion: choose the qualification that best fits your interests and carefully consider whether you prefer to earn money sooner or continue studying a bit longer.

With a completed apprenticeship, you can expect an average annual salary of 49.867€ in the field of Optimization. If you have an academic degree in the field of Optimization, your average salary is 60.173€.

Academic degree

ø 60.173 €

Study vs. Training

Non-Academic degree (Apprenticeship, Vocational Education, Technician, ...)

ø 49.867 €

Salary in the field of Optimization
by City

Where do you earn the most in the field of Optimization? Currently, you earn the most in the field of Optimization in Mannheim with an average salary of 82.351€ per year.

In general, the salary in the field of Optimization 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 in the field of Optimization, you will find out in this table:

Ø Gehalt Gehaltsspanne
München 65,141€ 62,241 € - 74,250€
Köln 54,439€ 51,619 € - 61,236€
Düsseldorf 55,989€ 51,374 € - 65,772€
Duisburg 52,889€ 49,860 € - 55,989€
Wuppertal 55,989€ 51,374 € - 65,772€
Mannheim 82,351€ 63,089 € - 82,351€
Münster 71,529€ 68,000 € - 74,250€
Mönchengladbach 52,889€ 49,860 € - 55,989€
Krefeld 52,889€ 49,860 € - 55,989€
Mainz 57,242€ 46,363 € - 57,242€
Oberhausen 52,889€ 49,860 € - 55,989€
Ludwigshafen am Rhein 82,351€ 63,089 € - 82,351€
Mülheim an der Ruhr 52,889€ 49,860 € - 55,989€
Leverkusen 55,989€ 51,374 € - 65,772€
Heidelberg 72,720€ 56,555 € - 82,351€
Darmstadt 57,242€ 49,082 € - 59,945€
Solingen 55,989€ 51,374 € - 65,772€
Neuss 55,989€ 51,374 € - 65,772€
Pforzheim 62,965€ 57,493 € - 72,687€
Bottrop 52,889€ 49,860 € - 55,989€
Bergisch Gladbach 54,439€ 51,619 € - 61,236€
Remscheid 55,989€ 51,374 € - 65,772€
Moers 54,439€ 50,617 € - 74,139€
Hanau 57,242€ 46,363 € - 57,242€
Rüsselsheim am Main 57,242€ 49,082 € - 59,945€
Langenfeld (Rheinland) 55,989€ 51,374 € - 65,772€
Hilden 55,989€ 51,374 € - 65,772€
Erkrath 55,989€ 51,374 € - 65,772€
Monheim am Rhein 55,989€ 51,374 € - 65,772€
Weinheim 72,720€ 56,555 € - 82,351€
Show more cities

What factors influence your salary in the field of Optimization?

There are several career factors that influence your salary in the field of Optimization. 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 Optimization 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.

Optimization - Latest salary data 2025

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

At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the Optimization 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 Optimization sector, and effectively supports you in preparing for your salary negotiations.

Further job vacancies in the Optimization field

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All Optimization Jobs

Frequently asked questions about Optimization salaries

How much do you earn in the area of Optimization?
What is the starting salary in the area of Optimization?
In which city do you earn in the area of Optimization the most?
In which state do you earn in the area of Optimization the most?
How much do you earn in Optimization after graduation?
How much do you earn in Optimization after training?
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.