Salary for Mid-level / Intermediate Data Engineer in Germany during 2024

Salary details

The average mid-level / intermediate Data Engineer salary lies between USD 60,300 and USD 137,000 in Germany. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Top 20 Job Tags for Mid-level / Intermediate Data Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Data Engineer job listings are Engineering, SQL and Python. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 3798 jobs SQL | 3758 jobs Python | 3684 jobs Pipelines | 3232 jobs ETL | 2751 jobs Data pipelines | 2491 jobs AWS | 2334 jobs Computer Science | 2157 jobs Architecture | 1983 jobs Spark | 1875 jobs Azure | 1846 jobs Security | 1710 jobs Agile | 1616 jobs Big Data | 1603 jobs Data quality | 1389 jobs Machine Learning | 1380 jobs Java | 1247 jobs GCP | 1189 jobs Snowflake | 1177 jobs Testing | 1171 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 2894 jobs Health care | 1499 jobs Flex hours | 1164 jobs Startup environment | 860 jobs Competitive pay | 859 jobs Team events | 820 jobs Equity / stock options | 723 jobs Flex vacation | 626 jobs Salary bonus | 617 jobs Parental leave | 602 jobs Insurance | 597 jobs Medical leave | 519 jobs Wellness | 412 jobs 401(k) matching | 337 jobs Fitness / gym | 161 jobs Home office stipend | 129 jobs Relocation support | 127 jobs Gear | 126 jobs Unlimited paid time off | 123 jobs Transparency | 116 jobs

Salary Composition

In Germany, the salary composition for a mid-level Data Engineer in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The fixed base salary is the largest component, often constituting 70-85% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 5-20%. Additional remuneration might include stock options, especially in tech startups, or benefits like health insurance, transportation allowances, and professional development funds. Larger companies and those in high-demand industries like finance or tech tend to offer more comprehensive packages.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools relevant to AI/ML and data engineering. Specializing in niche areas like deep learning or big data analytics can make you more valuable.
• Advanced Education: Pursuing a master's degree or relevant certifications can enhance your qualifications and bargaining power.
• Networking: Engage with professional networks and communities to learn about new opportunities and industry trends.
• Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which often come with higher pay.
• Industry Shift: Consider moving to industries that pay higher salaries for data engineering roles, such as finance or tech.

Educational Requirements

Most mid-level Data Engineer positions require at least a bachelor's degree in computer science, information technology, engineering, or a related field. A master's degree can be advantageous and is sometimes preferred, especially for roles that involve complex data modeling or machine learning tasks. Strong foundational knowledge in mathematics and statistics is also important.

Helpful Certifications

Certifications can bolster your resume and demonstrate expertise. Some valuable certifications include:

• AWS Certified Data Analytics: Validates expertise in using AWS data lakes and analytics services.
• Google Professional Data Engineer: Demonstrates proficiency in designing, building, and operationalizing data processing systems.
• Microsoft Certified: Azure Data Engineer Associate: Focuses on implementing data solutions using Azure services.
• Certified Data Management Professional (CDMP): Offers a broad understanding of data management principles.

Required Experience

Typically, a mid-level Data Engineer should have 3-5 years of experience in data engineering or related fields. Experience with data warehousing, ETL processes, and working with large datasets is crucial. Familiarity with programming languages like Python, Java, or Scala, and experience with cloud platforms such as AWS, Azure, or Google Cloud are often required.

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