Data Science Developer Hiring Trends in Munich, Germany

This report was last updated on Aug 23, 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 Engineer job market in Germany Munich has recently exhibited a steady trend, with job openings fluctuating between 1 to 3 positions weekly and peaking at 4 closures in the competitive recruitment landscape.
The current talent pool for Data Data Science Engineers in Germany is underscored by a competitive ratio of job openings to talent availability, making recruitment for these positions more challenging compared to other European nations.
Key hiring trends indicate that mid-senior level positions dominate the job market, representing 53% of available roles, while major cities like Berlin and Munich emerge as pivotal hubs for Data Data Science job opportunities.
Python is the most commonly sought technology in Data Data Science roles, followed by a high demand for Machine Learning technologies, SQL, and other programming languages, indicating a clear skill set preference for hiring managers.
Hiring for Data Data Science Engineer positions takes an average of 31 days in Germany, reflecting the need for well-structured recruitment strategies, particularly for securing Senior Data Data Science Developers in the vibrant Munich tech sector.

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

The Data Data Science Engineer job market in Germany Munich has shown a modest yet steady trend over the past 12 weeks, with job openings ranging from 1 to 3 positions per week. Notably, weeks 25 and 26 reported the highest volume of new job postings, reflecting a peak interest in these roles. However, the closure of jobs has seen fluctuations, peaking at 4 closures in week 27, indicating a competitive recruitment landscape. Compared to other tech roles in the region, the Data Data Science Developers appear to be experiencing a more balanced influx of opportunities, highlighting a sustained demand despite periodic closures.

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	12
KPMG Deutschland	null	null	null	12
Canonical	United Kingdom	Information Technology & Services	2004	10
Instaffo	Germany	Information Technology & Services	2014	10
Bending Spoons	Italy	Information Technology & Services	2013	6
Apside Switzerland	Switzerland	It Services And It Consulting	2015	5
ALTEN Germany	Germany	Information Technology & Services	1988	5
Microsoft	United States	Information Technology & Services	1975	5
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 talent market for Data Data Science Engineers in Germany reflects a competitive landscape, particularly in Munich, where the ratio of job openings to talent pool indicates a challenging environment for recruitment. With a moderate number of job openings relative to the talent pool, hiring managers may find it more difficult to source high-caliber candidates compared to other European countries such as France, Spain, and Italy. For example, Germany has a higher count of job openings, but the available talent may not meet the demands in specific areas. This suggests that while opportunities for Data Data Science positions in Germany Munich are abundant, securing the right talent may require innovative recruitment strategies tailored to attract Senior Data Data Science Developers amidst a growing competition across the continent.

Seniority distribution of Data Science Engineer job openings in Munich

Seniority Distribution of Data Science Engineering Jobs in Munich

In the competitive landscape of the Data Data Science Engineer job market in Germany Munich, the seniority distribution reveals significant insights for hiring managers. Mid-Senior level positions account for 53% of available roles, followed by Entry level positions at 27%. Internship opportunities represent 10% of the market, highlighting a strong emphasis on mid-level talent while still offering avenues for emerging professionals.

Preferred employment type for Engineering roles in Germany

The employment type distribution for engineering roles in Germany reveals a significant preference for full-time positions, which make up 95% of the job market. Part-time roles account for 4%, while internships represent a marginal 1%. This data underscores the dominance of full-time employment in the Data Data Science Engineers job market trends in Germany, particularly in vibrant locations like Munich.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineer positions in Germany presents a nuanced landscape crucial for hiring managers. The data reveals that the most prevalent hiring timeframe spans 30 to 35 days, with 287 and 137 candidates being hired, respectively. Notably, only 11 hires occurred within a zero-day timeframe, while 72 candidates were secured within five days, indicating urgent demand. As companies plan their recruitment strategies in Munich, understanding these hiring trends, particularly the significant 10 to 25-day range with 248 and 244 hires, will inform optimal decision-making processes in the competitive 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 the competitive landscape of the Data Data Science Engineer job market in Germany, Berlin leads with 47% of total job openings, followed by Munich at 23%. Hamburg and Frankfurt account for 16% and 12% respectively. The concentration of opportunities in these major cities highlights the significance of urban centers in attracting talent for Data Data Science roles.

Most sought after technologies in Munich for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Germany, particularly in Munich, showcases a strong reliance on a select array of technologies. Python emerges as the most widely used programming language, with a frequency of 5,533, highlighting its crucial role in data science applications. Following closely, Machine Learning technologies are prominent, with a frequency of 2,940, indicating a sustained demand for AI-driven solutions. SQL, vital for data manipulation and retrieval, has a notable presence at 1,965 instances, while Data Science itself signifies high relevance with a frequency of 1,641. Furthermore, Java, JavaScript, and React remain essential in software development, paralleling the requirements of data science roles. For a detailed breakdown of these technologies, please refer to the accompanying chart.

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