Data Developer Hiring Trends in Berlin, Germany

This report was last updated on Sep 6, 2025

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

The Data Engineers job market trends in Germany, particularly in Berlin, indicate a competitive and fluctuating landscape with significant hiring challenges for tech leads and recruitment managers.
Over the past three months, there has been notable variability in job openings for Data Engineers in Berlin, with a peak of 29 roles posted in week 31, but only 5 roles opened in week 35, signaling a tightening talent market.
Top companies actively seeking Data Engineers include adesso SE, KPMG Deutschland, and TieTalent, representing key employers in this competitive landscape.
Berlin remains the primary hub for Data Engineer opportunities, accounting for 63% of job openings in Germany, followed by Munich at 29%, emphasizing the need for hiring managers to focus their recruitment efforts in these areas.
The median time to hire for Data Engineers is 32 days, with a high demand for talent indicating that agile and innovative recruitment strategies will be essential for CTOs and engineering managers looking to secure skilled professionals in this sector.

Number of roles opened and closed for Data Engineers in Berlin in the last 3 months

In the last 12 weeks, the job market for Data Engineers in Germany Berlin has demonstrated notable variability. The peak was observed in week 31, with 29 new roles posted, while the downward trend in recent weeks saw only 5 jobs opened in week 35. Conversely, a significant number of positions have been closed, totaling 17 closures in week 25 and peaking at 26 closures in week 34, highlighting the competitive nature of the Data Engineer job market. Compared to other tech roles, the fluctuation in openings and closures for Data Engineers indicates a unique hiring challenge for engineering managers and recruiters within this sector in Germany Berlin.

Who else is hiring for data Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	17
adesso SE	Germany	Information Technology & Services	1997	14
KPMG Deutschland	null	null	null	12
Canonical	United Kingdom	Information Technology & Services	2004	10
Microsoft	United States	Information Technology & Services	1975	9
Instaffo	Germany	Information Technology & Services	2014	9
Trimble Inc.	United States	Information Technology & Services	1978	5
Apside Switzerland	Switzerland	It Services And It Consulting	2015	5
SoSafe	United States	Information Technology & Services	2018	4
ALTEN Germany	Germany	Information Technology & Services	1988	4

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Talent pool vs job openings for Data Engineers in Germany

How competitive it is to hire Data Engineers in Germany

The current landscape for Data Engineers in Germany, particularly in Berlin, presents a challenging hiring environment. With a ratio of available talent to job openings indicating a tightening market, it suggests a competitive atmosphere for recruitment. Comparatively, countries like France and the Netherlands are experiencing similar trends, with fewer job openings relative to their talent pools. In contrast, Poland shows a more favorable hiring scenario, offering a higher talent availability for each job opportunity. This data underscores the necessity for innovative recruitment strategies for CTOs and other hiring managers in Germany's tech sector to secure top Data Engineer talent.

Seniority distribution of Data Engineer job openings in Berlin

Seniority Distribution of Data Engineering Jobs in Berlin

The seniority distribution of Data Engineering jobs in Germany Berlin reveals that 55% of available positions are at the Mid-Senior level, followed by 21% at the Entry level and 13% at the Associate level. This data highlights a significant demand for experienced Data Engineers, indicative of the growing complexity and sophistication in the tech sector within Berlin.

Preferred employment type for Engineering roles in Germany

In the German job market, particularly in Berlin, the distribution of engineering roles reveals significant employment trends. Full-time positions dominate the landscape, comprising 96% of the available jobs. Part-time roles account for 4%, while internships make up less than 1%. This data is crucial for CTOs and hiring managers as they devise recruitment strategies aimed at attracting the best talent in the competitive tech sector.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineer positions in Germany indicates a significant variance in recruitment timelines, which is crucial for hiring managers in the tech sector. Notably, the majority of candidates are hired within the 30 to 35 days range, with 290 candidates hired at 30 days and 143 at 35 days. This reflects a strong demand for Data Engineers in Germany, particularly in Berlin, where the market dynamics may necessitate swift hiring strategies. Moreover, a considerable number of positions were filled within 10 days, highlighting the need for agile recruitment processes. As demand for Data Developers continues to grow, understanding these hiring trends is essential for CTOs and Engineering Managers to effectively position their recruitment strategies.

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Insights for hiring Data Engineers in Krakow

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the competitive Data Engineer job market in Germany, Berlin emerges as a significant hub, accounting for 63% of the relevant job openings. Munich follows with a notable 29%, while Hamburg represents 21%. This distribution underscores Berlin's status as the primary destination for Data Engineers, making it a focal point for hiring managers and recruiters seeking top talent in the tech sector, as illustrated in the accompanying chart.

Most sought after technologies in Berlin for Data

Key technologies for Data Engineers

In the current Data Engineers job market trends in Germany, particularly in Berlin, the most prevalent technologies highlight a strong preference for Python, which stands at an impressive frequency of 7,785. SQL follows closely, with a frequency of 7,444, indicating its critical role in data management. Additionally, the significance of ETL processes is noted with a frequency of 2,981. Machine Learning, a vital component for innovative data solutions, shows a frequency of 2,883, while Data Engineering itself, a primary focus for many firms, has a frequency of 3,749. These insights, illustrated in the accompanying chart, provide valuable information for hiring managers looking to align their recruitment strategies with current market demands.

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