Data 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 Engineer job market in Germany, specifically in Munich, is currently experiencing significant fluctuations, with new job postings peaking at 10 roles in both week 21 and week 26, but falling to just 1 new job in week 31.
A total of 54% of Data Engineer positions are mid-senior level roles, indicating a strong demand for experienced professionals, while 25% are entry-level, suggesting a healthy influx of new talent.
Top hiring companies in the region include adesso SE, TieTalent, and KPMG Deutschland, highlighting key players in the tech sector that are actively seeking Data Engineers.
Currently, the job-to-talent pool ratio suggests a challenging hiring environment for Data Engineers, indicating that hiring managers need to adapt their recruitment strategies in response to high demand and limited supply.
The median time to hire for Data Engineers in Germany stands at 31 days, demonstrating the importance of efficient recruitment strategies to secure top talent in a competitive market.

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

Over the past 12 weeks, the Data Engineer job market in Germany, particularly Munich, has demonstrated notable fluctuations. New job postings peaked at 10 roles in both week 21 and week 26, but there has been a concerning decrease in recent weeks, with only 1 new job posted in week 31. In contrast, job closures have seen a steady trend, particularly in weeks 30 and 31, where 11 and 6 positions were closed, respectively. This indicates a growing competition for Data Engineer roles, highlighting recruitment strategies for CTOs in Germany Munich's tech sector must adapt to the tightening market. Compared to similar roles across Europe's technology landscape, the demand for Data Engineers in Munich appears to be fluctuating more than other regions, warranting further analysis to secure a competitive edge in talent acquisition.

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 Engineer job market in Germany, specifically in Munich, reflects a competitive landscape with a burgeoning number of job openings relative to the talent pool. Currently, Germany has a job-to-talent pool ratio that indicates a challenging hiring environment. Comparatively, countries like France, the Netherlands, and Spain show varying levels of availability, with France exhibiting a favorable job-to-talent ratio, while the Netherlands and Spain present their own unique recruitment challenges. As such, hiring managers seeking to fill Data Engineer roles in Munich will likely face difficulty due to the high demand for talent combined with a comparatively smaller available workforce.

Seniority distribution of Data Engineer job openings in Munich

Seniority Distribution of Data Engineering Jobs in Munich

In the vibrant job market for Data Engineers in Germany Munich, the seniority distribution reveals notable trends. Mid-Senior level positions constitute 54% of the job offerings, indicating a robust demand for experienced professionals. Entry level roles represent 25%, suggesting a healthy influx of new talent into the sector. Meanwhile, Associate positions account for 11%, reflecting a niche yet important segment of the workforce.

Preferred employment type for Engineering roles in Germany

In the current landscape of the software development job market in Germany, particularly in Munich, the data reveals a predominant reliance on full-time employment for engineering roles, with 94% of positions classified as full-time. Part-time roles account for 4% of the market, while internships make up about 2%. This distribution underscores the critical demand for skilled Data Engineers, highlighting recruitment strategies that focus on securing full-time talent to meet the growing needs of the tech sector.

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 illustrates notable trends for hiring managers in the tech sector. A significant portion of the hiring process, accounting for 288 positions, takes approximately 30 days, indicating a common timeframe for recruitment success. This reflects a broader tendency to fill roles promptly, with 233 candidates hired at the 25-day mark. However, as the timeline extends beyond 30 days, there is a visible decline in the number of hires, with only 42 positions filled at 45 days. Understanding this time to hire distribution is crucial for CTOs and Engineering Managers in Germany, particularly in Munich, as it can inform recruitment strategies when positioning for future demand in the Data job market.

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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 40% of the total positions available, followed by Munich at 18%, and Hamburg at 13%. As the capital, Berlin continues to dominate the Data job market in Germany, making it a critical area for recruitment strategies for CTOs in Germany Munich's tech sector. This data is illustrated in the accompanying chart, highlighting the competitive landscape for Data Engineers in these major cities.

Most sought after technologies in Munich for Data

Key technologies for Data Engineers

In the current landscape of the Data Engineer job market in Germany, particularly in Munich, several technologies stand out due to their high frequency of usage. Python, leading the pack, features prominently with a frequency of 9,057 mentions, making it an essential tool for Data Engineers. Following closely, SQL with 8,396 mentions remains critical for database management and querying. Additionally, the relevance of ETL processes, recorded 3,343 times, underscores the necessity for data integration skills. Machine Learning, with 3,188 mentions, highlights the importance of advanced analytical capabilities, and AWS, noted 2,055 times, reflects the shift towards cloud-based solutions. For a comprehensive overview, refer to the accompanying chart that illustrates the usage frequency of these technologies in the hiring landscape.

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