Data Science Developer Hiring Trends in Berlin, Germany

This report was last updated on Sep 7, 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 Data Science Engineers job market in Germany, particularly in Berlin, has seen 36 new job postings over the past 12 weeks, with a total of 43 job closures, indicating a competitive recruitment landscape.
Berlin emerges as the leading hub for Data Data Science Engineer roles, accounting for 57% of job openings in Germany, followed by Munich and Hamburg at 26% and 19% respectively.
The demand for Mid-Senior level positions stands at 57%, showcasing significant opportunities for experienced professionals, with 21% of roles designated for entry-level candidates.
A predominant 96% of engineering roles are full-time positions, reinforcing the strong demand for dedicated Data Data Science Engineers in the German job market.
The median time to hire for Data Engineers in Germany is 30 days, juxtaposing the urgent need for talent against lengthy recruitment processes which may hinder hiring success.

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

Over the past 12 weeks, the Data Data Science Engineering job market in Germany, particularly in Berlin, has demonstrated fluctuating trends. There were a total of 36 new job postings, peaking at 7 positions in week 27, while an average of 4 positions were closed each week, culminating in a total of 43 jobs shut down during the same period. This results in a notable challenge for hiring managers, as the consistent closure of jobs underscores a competitive landscape, especially when compared to other tech roles in the region. In contrast, recruitment strategies for Data Data Science Engineers in Berlin's tech sector must adapt to address the evident imbalance between openings and closures, reinforcing the future demand for Data Data Science Engineer roles across Germany.

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 Data Science job market in Germany, particularly in Berlin, reveals a competitive landscape, with a significant number of job openings compared to the available talent pool. For instance, while Germany has a notable count of job openings, its talent pool is considerably smaller, resulting in a lower jobs-to-talent pool ratio. In contrast, countries such as France, the Netherlands, and Poland demonstrate a more balanced hiring landscape, where the number of available candidates aligns closer to job demands. This disparity indicates that hiring Data Data Science Engineers in Germany may prove to be a challenging endeavor for CTOs and hiring managers, necessitating effective recruitment strategies to attract the best talent in the tech sector.

Seniority distribution of Data Science Engineer job openings in Berlin

Seniority Distribution of Data Science Engineering Jobs in Berlin

In the competitive landscape of the Data Data Science job market in Germany Berlin, the seniority distribution reveals significant insights. Currently, 57% of positions are classified as Mid-Senior level, indicating a strong demand for experienced professionals. Entry-level roles comprise 21% of opportunities, providing pathways for new talent. Additionally, Associate positions make up 9% of the job openings, reflecting a moderately active market for seasoned applicants in this domain.

Preferred employment type for Engineering roles in Germany

In Germany, the employment type distribution for engineering roles highlights a significant preference for full-time positions, which comprise 96% of the market. Part-time roles account for 4%, while internships represent a mere 2% of the total employment types. This distribution underscores the robust demand for full-time Data Data Science Engineers in Germany, particularly in Berlin, as hiring managers look to fill roles that require dedicated expertise.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Science Engineers in Germany reveals critical insights for hiring managers in Berlin's tech landscape. A significant portion of positions (240 counts) are filled within 10 days, signaling a competitive market. However, the majority of positions take between 30 to 35 days (286 and 140 counts respectively), indicating a potential bottleneck in the recruitment process. Additionally, a steady decline in counts beyond 40 days suggests that lengthy hiring processes may lead to lost talent in this high-demand sector. Understanding these trends is vital for CTOs and recruitment strategists looking to optimize their hiring strategies in the Data Data Science job market in Germany, particularly in Berlin.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the current job market for Data Data Science Engineers in Germany, Berlin stands out as the leading hub, accounting for 57% of job openings. Munich follows with 26%, while Hamburg contributes 19%. This significant presence in the capital underlines Berlin's role as a central location for Data Data Science job market trends in Germany.

Most sought after technologies in Berlin for Data Science

Key technologies for Data Science Engineers

In the rapidly evolving job market for Data Data Science Engineers in Germany, particularly in Berlin, certain technologies emerge as cornerstone competencies. Leading the pack is Python, which sees the highest demand with 5,169 occurrences, followed by Machine Learning at 2,883. Data Science itself is pivotal, registering 1,631 mentions. Other notable technologies include SQL, commonly used for querying databases with 1,822 mentions, and Java, a staple language used by 1,337 professionals in this sector. The accompanying chart illustrates these trends, highlighting the essential skills for prospective candidates and guiding hiring managers in their recruitment strategies.

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