Data Science Developer Hiring Trends in 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 job market in Germany is currently characterized by 3,500 open positions, with a competitive talent pool of approximately 12,000 candidates, leading to a moderate hiring difficulty ratio of 3.43.
In the past 12 weeks, hiring trends have shown a dynamic demand for Data Science Engineers, peaking at 26 new positions in week 27 but also experiencing high closure rates, which highlight the need for agile hiring practices.
Top cities for hiring Data Engineers include Berlin, which accounts for 51% of total job listings, followed by Munich at 24% and Hamburg at 18%, underscoring Berlin's role as a central tech hub in Germany.
Full-time roles dominate the employment landscape, making up 96% of job openings for Data Data Science Engineers, indicating a strong preference for stable, long-term positions among candidates in this sector.
The time to hire for Data Science roles typically peaks at 30 days, suggesting that CTOs and hiring managers should focus their recruitment strategies on this timeframe to effectively attract top Data Data Science Engineering talent.

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

In the past 12 weeks, the Data Data Science job market in Germany has exhibited notable fluctuations, with a peak of 26 new positions created in week 27, demonstrating a dynamic demand for Data Science Engineers. However, this rise is overshadowed by a significant number of closed positions, peaking at 60 closures in week 26, indicating a competitive landscape. Compared to other regions in Europe, Germany presents unique recruitment challenges, necessitating tailored strategies for CTOs seeking to attract top Data Science talent. Furthermore, the week-to-week hiring trends reveal a pressing need for Agile hiring practices, especially in light of the inconsistent job openings seen in the latter weeks.

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 talent market for Data Data Science Engineers in Germany reflects a competitive landscape, characterized by 3,500 job openings against a talent pool of approximately 12,000 candidates. This results in a ratio of 3.43, suggesting a moderate hiring difficulty. In comparison, France and the Netherlands show higher ratios of 4.5 and 5.2 respectively, indicating a more favorable environment for hiring. Conversely, the UK experiences a tighter market with a ratio of 2.2, making recruitment in Germany comparatively easier than in certain neighboring countries. For hiring managers, these insights are critical for developing effective recruitment strategies in Germany's tech sector, where the demand for Data Data Science Engineers is expected to grow.

Seniority distribution of Data Science Engineer job openings in Germany

Seniority Distribution of Data Science Engineering Jobs in Germany

The seniority distribution of Data Data Science Engineering jobs in Germany reveals a significant demand for various experience levels. Currently, 42% of positions are designated as Entry level, with Mid-Senior level roles comprising 34% of the job market. Additionally, Internship roles account for 11%, highlighting the importance of integrating fresh talent into the industry.

Preferred employment type for Engineering roles in Germany

The employment landscape for engineering roles in Germany is predominantly characterized by full-time positions, which account for 96% of job openings. Part-time roles represent a modest 4%, while internships make up approximately 2% of the market. This distribution highlights the strong preference for full-time employment among Data Data Science Engineers, reflecting current hiring trends and future demand in Germany's 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 Science roles in Germany reveals significant insights for hiring managers navigating the competitive tech landscape. A majority of job vacancies (240 counts) observe a time to hire of 10 days, while the peak period extends to 30 days, with 286 counts noted, indicating a critical timeframe that recruitment strategies should target. Notably, the decrease in counts as the hiring duration stretches beyond 30 days suggests the challenges in attracting top talent in the Data Data Science job market in Germany. By focusing recruitment efforts within this optimal timeframe, CTOs and engineering managers can enhance their chances of successfully acquiring skilled Data Science Engineers. Furthermore, understanding these hiring trends is essential for aligning talent acquisition strategies with emerging demands in Germany's tech sector.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In Germany, the location distribution for Data Engineers job openings reveals a strong concentration in major cities, with Berlin leading the charge at 51% of total job listings, followed by Munich at 24% and Hamburg at 18%. This underscores Berlin's prominence as a tech hub in the country, significantly influencing the overall job market trends in Data Data Science roles. For a comprehensive view of this distribution, please refer to the attached chart.

Most sought after technologies in Germany for Data Science

Key technologies for Data Science Engineers

In examining the Data Data Science job market trends in Germany, several technologies stand out as pivotal for candidates in this field. Python emerges as the most sought-after, demonstrating its vital role in data processing and analysis with a frequency of 5,169. Closely following are Machine Learning and SQL, with frequencies of 2,883 and 1,822 respectively, highlighting their importance in developing predictive models and data management. Java, with a frequency of 1,337, also finds a significant place among essential technologies, supporting various data science applications. The attached chart further illustrates the prevalence of these technologies, offering hiring managers valuable insights into recruitment strategies for Data Data Science Engineers in Germany.

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