Data Science Developer Hiring Trends in Munich, 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 Engineer job market in Munich has recently observed a net negative trend with 23 new positions opened against 22 closures in the past 12 weeks, highlighting the competitive landscape for talent acquisition.
Python leads as the predominant technology utilized in the Data Data Science field, appearing 6,766 times, followed by Machine Learning and SQL, indicating the critical skills recruiters should focus on when attracting candidates.
Currently, 47% of Data Science job openings in Munich are for Mid-Senior level positions, suggesting recruitment strategies should primarily target experienced professionals while also considering Entry level and Internship opportunities.
Munich stands out as the second-largest hub for Data Engineers in Germany, with 22% of job openings, trailing only Berlin, confirming its importance in talent sourcing within the tech sector.
With a median time to hire for Data Engineers in Germany set at 28 days, and over 288 candidates hired within 30 days, this information underscores the urgency for hiring managers to implement agile recruitment strategies.

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

In the recent 12-week period, the Data Data Science Engineer job market in Munich has displayed fluctuating activity, with a total of 23 new positions being opened, primarily peaking at 7 openings in week 21. This contrasts sharply with the weekly job closures, which totaled 22, indicating a net negative trend in available positions. Compared to other roles in Germany, the hiring landscape for Data Data Science Engineers is markedly competitive, necessitating agile recruitment strategies for CTOs and engineering managers looking to attract talent. Notably, the demand for candidates remains high in other European tech hubs, suggesting that recruitment strategies should account for broader trends in the Data Data Science job market across the continent.

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, specifically in Munich, reflect a competitive landscape characterized by a growing demand and a limited talent pool. Currently, Germany has a significant number of job openings compared to its available talent, resulting in a jobs-to-talent pool ratio that suggests challenges in hiring qualified candidates. In comparison, countries such as France, the UK, and the Netherlands exhibit similar trends, with varying degrees of job openings and talent availability. As hiring managers in Germany Munich's tech sector focus on recruitment strategies, understanding the future demand for Data Science Engineers is crucial, as emerging trends indicate a tightening talent market across Europe's technology landscape. This analysis underlines the importance of proactive hiring strategies for CTOs and engineering managers aiming to secure top talent in Data Data Science Developer opportunities.

Seniority distribution of Data Science Engineer job openings in Munich

Seniority Distribution of Data Science Engineering Jobs in Munich

In the Data Data Science job market in Germany, particularly in Munich, seniority distribution reveals significant trends that are vital for hiring managers. Currently, 47% of job openings are for Mid-Senior level positions, while Entry level roles account for 33%. Additionally, Internship opportunities make up 11% of the available positions. Understanding these statistics can guide CTOs and recruiters in crafting effective recruitment strategies tailored for the evolving tech sector in Munich.

Preferred employment type for Engineering roles in Germany

In the current job market for engineering roles in Germany, the predominant employment type is Full-time, accounting for 95% of available positions. This is followed by Part-time roles at 4% and Internships, which represent 1% of the employment types. Understanding this distribution is crucial for hiring managers and CTOs as they strategize their recruitment efforts to attract top Data Data Science Engineers in Germany, particularly in hotspot locations like Munich.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

Analyzing the time to hire distribution for Data Science jobs in Germany reveals several insights for hiring managers. A notable 288 candidates were hired within a 30-day timeframe, indicating a competitive market environment. Additionally, the data shows that 233 candidates were secured within 10 days, suggesting strong demand for Data Science Engineers in Germany, particularly in urban hubs like Munich. Hiring trends seem to extend to longer timelines as well, with 147 candidates hired within 35 days and a significant number, 76, within 20 days. This information can guide CTOs and recruitment strategists in planning effective hiring processes for Data Data Science roles.

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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

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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, Berlin leads as the primary hub for Data Engineers, accounting for 48% of the total job openings in Germany. Munich follows with 22%, representing a significant opportunity in the local market. Hamburg, with 15%, and Frankfurt, at 12%, complete the top four cities, highlighting the capital's dominant position in the Data Science job market across Germany.

Most sought after technologies in Munich for Data Science

Key technologies for Data Science Engineers

As hiring managers evaluate the Data Data Science Engineer job market trends in Germany, particularly in Munich, it is essential to recognize the prevalent technologies that shape this field. Leading the way is Python, utilized in a staggering 6,766 instances, followed by Machine Learning and SQL with usage frequencies of 3,188 and 2,330, respectively. Other notable technologies include Java, at 2,196 instances, and AI, which appears 1,962 times. For those recruiting Data Science Engineers, understanding these technology trends is crucial for attracting top talent, as illustrated in the accompanying chart.

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