Big Data Engineer Salary in Osterholz-Scharmbeck, Germany

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  1. Compensation Data
  2. > Salary
  3. > Big Data Engineer
  4. > Germany
  5. > Osterholz-Scharmbeck

Last Updated: July 08, 2026

€85,020 USD

per year
Hourly Rate €40.87
Bonus €3,426

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Entry Level €58K
Average €85K
Senior Level €104K

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The average pay for a Big Data Engineer is €85,020, which is €40.87 an hour in Osterholz-Scharmbeck, Germany. The average salary range for a Big Data Engineer is between €58,239 and €103,894. On average, a Bachelor's is the highest level of education for a Big Data Engineer.

This compensation analysis comes from aggregated salary survey data for Osterholz-Scharmbeck, Germany. ERI's compensation information is based on employer-reported data collected from ERI's salary surveys, customer HRIS data, data from Proxies/10Ks and Forms 990, proprietary databases, and purchased survey data. Cost-of-labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc. For more information, see ERI's methodology.

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Salary Potential for Big Data Engineer

Explore the estimated salary growth for Big Data Engineer in Osterholz-Scharmbeck, Germany for up to 5 years. The estimated salary of Big Data Engineer in 1 year will be €87,272, and in 5 years, will be €96,892.

Number of Years

2 Years

Estimated Salary

€89,584 USD

Percentage Growth

0%

Growth Trajectory

The estimated salary growth for Big Data Engineer in [# of years] is [salary], which is [average growth %] average growth. This information is based on ERI's compensation database.

What Does a Big Data Engineer Do?

Develops, engineers, maintains, runs tests, evaluates, and implements big data infrastructure, projects, tools, and solutions within an organization, working with the latest database technologies, in order to get results from vast amounts of data quickly. Selects and integrates big data tools and frameworks required to provide requested capabilities. Collects, stores, processes, manages, analyzes, and visualizes large sets of data to turn information into insights using multiple platforms; chooses optimal solutions to use for those purposes; maintains, implements, and monitors them; and integrates them with the architecture used across the organization.

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Education, Skills, and Certifications for Big Data Engineers

Gain access to salary differentials for education and skills in ERI's Salary Assessor

Education

Below is the average education level for a Big Data Engineer. About 100% have a Bachelor's degree, 0% have a Doctorate degree, and 0% have a Master's degree.

  • Bachelor's Degree 100%
  • Doctorate Degree 0%
  • Master's Degree 0%
  • Associate Degree 0%
  • High School Diploma 0%
  • Less Than HS 0%

Top Skills

Below are top skills for a Big Data Engineer. 100% of Big Data Engineers have a skill in Access SQL. The top 3 most popular skills for Big Data Engineers are Access SQL, Agile software development, and AJAX.

  • Access SQL 100%
  • Agile software development 100%
  • AJAX 100%
  • Bioinformatics analysis 100%
  • Business analysis 100%

Popular Certifications for Big Data Engineer

SQL Certification Pega Certified Data Scientist (PCDS)

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Compare Big Data Engineer Salaries by Location

See how Big Data Engineer salaries vary by region and find the best location for your career.

Average Salaries for Big Data Engineer

The average salary of big data engineer in Osterholz-Scharmbeck, Germany is 85.020 €. The average salary of big data engineer in California is $151,333. Explore the average salaries for big data engineer in other locations below.

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Cost of Living in Osterholz-Scharmbeck, Germany

The cost of living in Osterholz-Scharmbeck, Germany is 5% lower than the national average.

Whether you're planning to move or just want to see the cost of living in different locations, our cost-of-living calculator is the place to start. Compare salaries for other locations by city, U.S. ZIP code, state, or country.

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Why Your Salary May Look Different

This information is based on a specific job title and location, but real-world compensation can vary based on factors like years of experience, company size, shift differentials, and more. Because of these variables, your actual pay may fall above or below the average ranges shown. Use ERI's salary data and compensation management platform to identify market trends and accurately adjust pay so that you can price jobs competitively.

Based on the average salary in the United States, if your shift differential is 10%, then your pay will increase by €4.09/hour

*Some jobs may not be adjusted using shift differentials. Please contact [email protected] for additional information.

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Use ERI's shift differential data to calculate pay for night, day, and swing shifts to benchmark compensation with confidence. Our robust salary survey data can help you accurately price roles using industry-specific shift policies.

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Frequently Asked Questions

Common questions about Big Data Engineer salaries and career insights

How much does a Big Data Engineer make in Osterholz-Scharmbeck, Germany?

ERI's data indicated that, on average, a Big Data Engineer is €85,020 per year or €40.87 per hour in Osterholz-Scharmbeck, Germany, which is 12% lower than the national average. Top earners have reported making up to €103,894. However, the typical pay range in Osterholz-Scharmbeck, Germany, is between €58,239 and €103,894 annually.

What is the salary potential for Big Data Engineer in 5 years?

Big Data Engineer is projected to see 14% salary growth in 5 years.

What are some factors that impact Big Data Engineer salaries?

Several factors can impact the salary, including experience, company size, job market, location, industry, and more. Understanding how these factors affect the role can provide opportunities to earn more. Use our salary calculator to find out how much you should be paid based on what someone in your area, with similar experience, earns.

How can I accurately price jobs for my organization?

There are several factors that can impact the salary, including experience, company size, job market, location, industry, education, certificates, shift differentials, and more. Understanding how these factors affect the role can help you spot pay gaps and retain top talent. ERI's Assessor Platform brings these factors together in one platform, making it easy to benchmark roles, analyze insights, and set pay with confidence.

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ERI Economic Research Institute was founded over 35 years ago to provide trusted compensation data for private and public organizations. ERI has established itself as a gold standard for global salary benchmarking and geographic differentials and has evolved to offer a complete compensation management software solution.

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With decades of experience in compensation, ERI offers an extensive and reliable salary survey database powered by the Assessor Platform, a comprehensive compensation management solution that optimizes complex processes for accuracy and efficiency.

HR and compensation professionals in organizations ranging from small companies to the Fortune 500 rely on ERI's Assessor Platform to:

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ERI's team of PhD-level data scientists and seasoned compensation professionals review and validate our salary data approximately every six weeks, ensuring the accuracy of the data that we publish. Learn more about our methodology.

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About Our Data

This page is an excerpt of the much more complete compensation information available in ERI's Assessor Series.

For over 35 years, ERI has compiled the most robust and accurate salary, cost-of-living, and executive compensation survey database available. Data are analyzed using AI and traditional statistics, depending on which approach is best for a particular application. ERI collects salary survey data from five different sources, which you can learn about here.

Verified Sources

Data sourced from internal salary surveys, purchased surveys, public sources, HRIS data, and proprietary databases.

Real-Time Data

Our salary database is updated and verified approximately every six weeks.

Quality Assurance

Along with our data scientists, we have included AI in our rigorous process to analyze and provide the highest quality data.

10,500+

Locations

35,900+

Job Titles

4,400+

Skills

5,500+

Certifications

1,100+

Industries

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