Data Developer Hiring Trends in Munich, 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 Engineers job market trends in Germany, particularly in Munich, reveal significant fluctuations in hiring practices over the past three months, with a peak of 13 new job openings despite a notable number of closures, suggesting an evolving landscape for recruitment strategies in 2023.
Python and SQL continue to be the leading technologies in demand, cited 7,785 and 7,444 times, respectively, indicating that hiring managers should prioritize these skills when seeking candidates for Data Developer opportunities in Germany Munich.
With 61% of job openings targeted at Mid-Senior level professionals, it is evident that there is a strong future demand for experienced data engineers in Germany Munich, implying that recruitment strategies must be refined to attract this caliber of talent.
Currently, the employment type landscape is predominated by full-time roles, representing 96% of the job market, which highlights the necessity for hiring managers to focus on full-time recruitment efforts in Munich's competitive tech sector.
Despite the strong number of job openings, hiring Data Engineers in Germany remains competitive due to a modestly sized talent pool, underscoring the importance for CTOs and recruiters to adopt innovative strategies to effectively attract and retain top talent in this domain.

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

In the past 12 weeks, the Data Engineer job market in Germany Munich has shown fluctuating trends, with a notable peak at 13 new positions posted in week 29. Comparatively, this period experienced closures that peaked at 11 jobs in week 31, indicating a tightening market environment. Overall, the net jobs created reveal that while there was a surge in opportunities, the rate of job closures remains significant, suggesting hiring managers should adopt proactive recruitment strategies. When analyzing hiring trends against other European markets, it is evident that recruitment for Data Engineers in Germany Munich is maintaining competitive activity, albeit with volatility.

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 Engineers job market in Germany, specifically in Munich, reflects a competitive landscape characterized by a notable disparity between job openings and the talent pool. With a significant number of job openings and a moderately sized talent pool, the ratio indicates increasing challenges in hiring skilled Data Engineers. Comparatively, countries like the Netherlands and France present a more favorable talent-to-job ratio, suggesting that recruitment may be slightly easier in those regions. Meanwhile, the talent market in Poland exhibits a robust pool but lower demand for Data Engineers, indicating potential recruitment strategies for CTOs in Germany's tech sector will require focused efforts on attracting and retaining top talent. Therefore, hiring managers in Munich should be prepared for a competitive search for skilled Data Engineers, prompting the need for innovative recruitment strategies.

Seniority distribution of Data Engineer job openings in Munich

Seniority Distribution of Data Engineering Jobs in Munich

In the dynamic landscape of the Data Engineers job market in Germany, particularly in Munich, the seniority distribution reveals critical insights for hiring managers. Currently, 61% of job openings are for Mid-Senior level positions, while Entry level roles make up 26%, and Associate level jobs account for 13%. This distribution highlights the strong demand for experienced professionals, emphasizing the importance of tailored recruitment strategies for CTOs in Germany Munich's tech sector.

Preferred employment type for Engineering roles in Germany

In examining the employment type distribution for engineering roles in Germany, it is evident that a significant majority of positions are full-time, accounting for 96% of the job market. Part-time roles represent just 4% of the total, while internships make up a mere 2%. This distribution highlights the strong preference for full-time employment among data engineers, which is essential for hiring managers to consider when strategizing recruitment efforts in Munich and beyond.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire for Data Engineer positions in Germany reveals significant trends that can inform recruitment strategies for CTOs and hiring managers. The majority of candidates, 286, are recruited within 30 days, indicating a competitive market for Data jobs in Munich and the broader tech sector. Notably, 240 candidates are hired within 10 days, suggesting a strong pool of available talent. However, the distribution indicates that hiring can extend beyond 40 days, with 107 candidates taking up to 40 days to onboard. This information is crucial for understanding the dynamics of the Data job market in Germany, particularly for Senior Data Developers looking to secure top talent amidst growing demand.

Expolore reports from other European Developer talent pools

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The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

The location distribution for Data Engineer job openings in Germany reveals that Berlin leads with 65% of the total job postings, followed by Munich at 29% and Hamburg at 21%. As the capital city, Berlin's dominance highlights its status as a hub for tech talent, making it a crucial area for recruitment strategies aimed at capitalizing on the data job market in Germany, particularly in Munich.

Most sought after technologies in Munich for Data

Key technologies for Data Engineers

In the evolving landscape of the data job market in Germany, particularly in Munich, certain technologies stand out due to their high usage frequency. Python remains the most prominent language among data professionals, appearing in job listings a staggering 7,785 times, highlighting its crucial role for Data Engineers and Developers. SQL follows closely behind, cited 7,444 times, emphasizing its necessity for data manipulation and management. Other notable technologies include ETL (2,981), Machine Learning (2,883), and Data Engineering (3,749), showcasing the diverse skill sets required in this field. The attached chart offers a visual representation of these frequencies, aiding hiring managers in understanding the technological demands prevalent in recruitment strategies for Data Engineers in Germany, particularly in Munich.

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