Data Engineer 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 Engineer job market in Germany, particularly in Berlin, is experiencing notable growth, with a net gain of 12 new roles over the last three months, indicating a strong demand for Data Engineers.
Key technologies driving hiring in the Data Engineer job market include SQL and Python, both critical for database management and data manipulation, which reflect the industry's preferences for skillsets.
Berlin continues to solidify its position as the top city for Data Engineer employment opportunities, accounting for 47% of available roles in Germany, with significant competition emerging from cities like Munich and Hamburg.
The hiring landscape is challenging for recruitment, as the Data Engineer job market reveals a tightening talent pool, necessitating strategic recruitment approaches for CTOs and hiring managers aiming to attract top talent.
The median time to hire for Data Engineers in Germany is currently 33 days, exemplifying the need for efficient recruitment processes amidst a competitive market.

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

The Data Engineer job market in Germany Berlin exhibits notable fluctuations, with a significant spike in postings observed during week 31, where 17 new positions were made available. Over the last 12 weeks, a total of 37 new Data Engineer roles were posted, while 25 roles were closed, showcasing a net gain of 12 positions in this segment. This trend highlights a growing demand for Data Engineers in Berlin, particularly when compared to other European countries where job openings have remained more consistent. Hiring managers and CTOs in Berlin's tech sector should strategically position themselves to attract top talent amidst these dynamic shifts in the job market.

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 Data Engineer job market in Germany, particularly in Berlin, exhibits a challenging landscape for recruitment. With a significant number of job openings, the ratio of available talent to positions reveals a tightening market. For example, while Germany boasts a thriving tech sector, countries like Poland, France, and Spain also present notable competition for Data Engineer talent. The current data indicates that hiring Data Engineers in Germany may be more difficult compared to these other European markets, where the supply of qualified candidates is relatively higher, making strategic recruitment approaches essential for CTOs and hiring managers aiming to fill critical roles.

Seniority distribution of Data Engineer Engineer job openings in Berlin

Seniority Distribution of Data Engineer Engineering Jobs in Berlin

In the competitive job market for Data Engineers in Germany, particularly in Berlin, the distribution of seniority levels reveals significant insights. The majority, comprising 53% of job listings, fall under the Mid-Senior level category, indicating a strong demand for experienced professionals. Entry level positions account for 22%, while Associate roles also represent 22% of the job market. This distribution highlights the need for targeted recruitment strategies, especially for hiring managers aiming to attract mid-level talent.

Preferred employment type for Engineering roles in Germany

In Germany's engineering job market, the predominant employment type is full-time positions, which account for 96% of opportunities. Part-time roles represent a mere 4% of the market, while internships encompass just 2%. This distribution indicates a strong demand for dedicated engineering talent, particularly in sectors like software development, reaffirming the need for effective recruitment strategies by CTOs in Germany, especially in Berlin.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire for Data Engineer roles in Germany reveals significant trends impacting recruitment strategies for CTOs and hiring managers. Notably, the data indicates that the majority of hires occur within the 30 to 35-day range, accounting for a combined total of 433 candidates. Furthermore, a notable 243 candidates were hired within a 10-day timeframe, illustrating a robust demand for Data Engineers in Germany, particularly in Berlin's competitive tech sector. The extended timelines, with a considerable number of candidates hired between 40 to 60 days, suggest that while there is a fierce competition for skills, it also points to an opportunity for strategic hiring practices tailored to this segment.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In examining the location distribution for Data Engineer job openings in Germany, Berlin stands out as the leading city with 47% of the total job count. Following Berlin, Munich accounts for 22% of opportunities, while Hamburg contributes 16%. This distribution underscores Berlin's prominence as a tech hub within Germany, offering significant recruitment potential for hiring managers.

Most sought after technologies in Berlin for Data Engineer

Key technologies for Data Engineer Engineers

In the evolving data landscape of Germany, particularly in Berlin, several technologies dominate the Data Data Engineer job market. The most frequently sought-after skill is SQL, with a usage frequency of 1979, highlighting its critical role in database management. Python follows closely, with a frequency of 1969, reflecting the language's versatility in data manipulation and analysis. Other key technologies include ETL, which is essential for data integration and transformation, standing at a frequency of 825. Additionally, AWS and Azure, with frequencies of 491 and 383 respectively, are pivotal in cloud-based data solutions. This trend is illustrated in the accompanying chart, showcasing the technologies that are driving hiring decisions for Data Data Engineers in the region.

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