Data Science Developer Hiring Trends in Berlin, Germany

This report was last updated on Aug 9, 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 trends in Germany, with a significant focus on Berlin, display a dynamic landscape for hiring managers striving to recruit top talent in this competitive sector.
Berlin leads as the primary city for Data Science Engineer job openings in Germany, capturing 46% of the total opportunities, followed by Munich at 22% and Hamburg at 16%. This underscores the importance of targeting recruitment efforts in Berlin to tap into the largest talent pool.
A total of 17 new job postings spiked in week 21, though a net deficit was noted due to 12 closed positions in week 24, indicating a volatile hiring environment that necessitates strategic recruitment approaches for CTOs and Engineering Managers.
The competition for Data Science Engineers remains high, necessitating innovative recruitment strategies, as the talent pool size in Germany presents challenges for hiring managers to fill roles effectively amidst an increasing demand for skilled professionals.
The median time to hire for Data Engineers is reported at 28 days, highlighting the urgency for hiring managers to streamline their recruitment processes to secure candidates before they move on to other opportunities.

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

The data science engineering job market in Germany, particularly in Berlin, has exhibited notable fluctuations over the past 12 weeks. With a spike of 17 new job postings in week 21, the momentum has since diminished, averaging about 3 to 4 openings per week. Notably, the number of closed positions during this period revealed a concerning trend, with a peak of 12 closures in week 24, leading to a net deficit in job opportunities. When compared to other tech roles in the region, data science engineering positions reflect a more volatile landscape, emphasizing the necessity for strategic recruitment approaches by hiring managers in Berlin's competitive tech sector.

Who else is hiring for data Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
adesso SE	Germany	Information Technology & Services	1997	14
TieTalent	Switzerland	Information Technology & Services	2017	13
KPMG Deutschland	null	null	null	12
Canonical	United Kingdom	Information Technology & Services	2004	10
ALDI SÜD	Germany	Retail	1913	10
Instaffo	Germany	Information Technology & Services	2014	8
n8n	Germany	Information Technology & Services	2019	5
Miltenyi Biotec	Germany	Research	1989	5
Apside Switzerland	Switzerland	It Services And It Consulting	2015	4
SoSafe	United States	Information Technology & Services	2018	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 Engineers job market trends in Germany, particularly in Berlin, reveal a competitive landscape for hiring talent. With a substantial number of job openings, Germany has a talent pool size that reflects the demand. However, when compared to other countries such as France, the Netherlands, and Poland, the ratio of available talent to job openings suggests that recruitment for Data Science Engineers may be challenging in Germany. The current demand indicates that while opportunities for Data Data Science Developers in Germany are robust, hiring managers should be prepared to implement innovative recruitment strategies to attract top-tier candidates amid growing competition across Europe's technology landscape.

Seniority distribution of Data Science Engineer job openings in Berlin

Seniority Distribution of Data Science Engineering Jobs in Berlin

In the Data Data Science Engineering job market in Germany, particularly in Berlin, the seniority distribution reveals significant insights for hiring managers. Approximately 57% of job openings are at the Mid-Senior level, while Entry level positions constitute around 18% of the market. Additionally, Associate roles make up about 14% of the opportunities. These trends highlight the current landscape and inform recruitment strategies for CTOs and engineering managers in Berlin's competitive tech sector.

Preferred employment type for Engineering roles in Germany

In the German engineering job market, full-time positions dominate the landscape, accounting for 95% of available roles. Part-time employment represents a mere 4%, while internships constitute just 2% of the workforce. This distribution underscores the preference for stable, long-term employment options among Data Science Engineers in Germany, particularly in key hubs like Berlin.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Data Science Engineer positions in Germany reveals distinctive patterns pivotal for hiring managers. Predominantly, a majority of candidates are hired within a range of 25 to 30 days, with 243 and 288 respective counts indicating a significant response rate in this timeframe. Notably, hiring periods extending beyond 30 days see a decrease in candidate availability, exemplified by 147 within the 35-day mark and tapering down to only 8 candidates by the 100-day point. This distribution underscores the importance for CTOs and Engineering Managers to implement efficient recruitment strategies, particularly in bustling tech hubs like Berlin, to capitalize on emerging opportunities in the Data Data Science job market.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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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 Engineers across Germany, Berlin stands out as the leading city with 46% of the job openings. Munich follows with a significant 22%, while Hamburg accounts for 16%. This data underscores Berlin's prominence as a hub for Data Science Engineers, a trend reflected in the accompanying chart.

Most sought after technologies in Berlin for Data Science

Key technologies for Data Science Engineers

In the current Data Data Science job market in Germany, particularly in Berlin, several technologies stand out as essential for candidates. Python, with a frequency of 6,766 mentions, is the most prevalent programming language, indicating its dominance in data-driven roles. Following closely, SQL is crucial for data management and analysis, noted 2,330 times, while Machine Learning, a key competency for Data Science Engineers, is referenced 3,188 times. Additionally, AI technologies are vital, evidencing a frequency of 1,962, supporting the increasing demands for intelligent data solutions. The accompanying chart illustrates these trends, highlighting the technologies most sought after by hiring managers in the tech sector.

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