Data Developer Hiring Trends in Düsseldorf, 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 Engineer job market in Düsseldorf has seen a total of 13 new roles posted in the last 12 weeks, with 39 roles closed, indicating a challenging hiring environment for Data Developers.
Key technologies dominating the job landscape include Python and SQL, with usage frequencies of 7,785 and 7,444, respectively, highlighting the importance of these skills for potential candidates.
The seniority distribution of data engineering roles shows that 47% are Mid-Senior level, which signifies a strong demand for experienced professionals in this competitive sector.
Düsseldorf may not be among the top three cities for job openings, with Berlin leading at 852 listings, followed by Munich and Hamburg; thus, recruitment strategies should prioritize these urban centers.
The median time to hire for Data Engineers in Germany is 32 days, emphasizing the importance of prompt decision-making to secure skilled candidates amidst high demand.

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

In the last 12 weeks, the Data Engineer job market in Düsseldorf has shown a fluctuating trend, with a total of 13 new roles posted across several weeks. The peak occurred in week 26, with 5 new jobs introduced, while the remaining weeks saw minimal activity with just 1 to 3 postings. Notably, the closure of jobs in the same period has been more pronounced, with an aggregate of 39 roles closed, leading to a significant gap between openings and closures. This trend reflects a challenging hiring environment for Data Developers in Düsseldorf when compared to other regions in Germany, where tech roles may display a more balanced ratio of job openings to closures, indicating the need for innovative recruitment strategies for CTOs and hiring managers navigating this competitive landscape.

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 Engineers in Europe presents a complex landscape, with Germany showing a particularly high demand relative to its available talent pool. Germany currently has a substantial number of job openings but faces a challenging hiring environment, as indicated by its low jobs-to-talent pool ratio. In comparison, countries like France and the Netherlands exhibit a balanced hiring climate, while the UK demonstrates a higher availability of talent for the existing job market. This suggests that hiring managers in Germany, specifically in cities like Düsseldorf, may encounter difficulties in sourcing qualified Data Engineers, underlining the need for adept recruitment strategies in an increasingly competitive sector.

Seniority distribution of Data Engineer job openings in Düsseldorf

Seniority Distribution of Data Engineering Jobs in Düsseldorf

In the Data Engineers job market in Germany Düsseldorf, the seniority distribution reveals that 47% of positions are at the Mid-Senior level, 44% are Entry level, and only 5% are at the Associate level. This data indicates a strong demand for experienced Mid-Senior level professionals, which is essential for hiring managers looking to fill roles in this competitive sector.

Preferred employment type for Engineering roles in Germany

In Germany, the employment landscape for engineering roles, particularly in the technology sector, is significantly dominated by full-time positions, which account for 95% of available roles. Part-time employment represents a mere 4%, while internships constitute around 2%. This clear preference for full-time roles highlights the strong demand for committed talent in the Data Engineers job market trends in Germany, particularly in regions like Düsseldorf.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Germany indicates a sustained demand for talent in this sector. Notably, 286 positions were filled within a 30-day hiring period, reflecting the urgency in recruitment strategies among CTOs and hiring managers in Düsseldorf's tech sector. The data shows that 240 roles took approximately 10 days to hire, suggesting that prompt decision-making is crucial in attracting top Data Engineers. With a significant number of hires taking between 25 to 40 days, it is evident that while there is high demand, the competition among employers necessitates efficient recruitment strategies. As the market evolves, understanding these trends will be vital for organizations looking to secure the right Data Developer talent in Germany's thriving software development market.

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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 Engineers job market in Germany, Düsseldorf stands out, although it is not one of the top three cities for job openings. The leading city is Berlin with 852 job listings, representing 46% of the total data points analyzed. Following Berlin, Munich offers 395 opportunities, accounting for 21%, while Hamburg contributes 15% with 286 roles available. These figures indicate a pronounced concentration of Data Engineer positions in major urban centers, suggesting that recruitment strategies for CTOs in Germany's tech sector should prioritize these locations.

Most sought after technologies in Düsseldorf for Data

Key technologies for Data Engineers

Analyzing the latest data, the most commonly used technologies in the Data jobs landscape in Germany, particularly in Düsseldorf, highlight a clear preference for Python and SQL, which are pivotal for Data Engineers and Developers. With Python leading at a usage frequency of 7,785, it is evident that expertise in this programming language is indispensable for candidates aiming to excel in the data sector. Following closely, SQL boasts a frequency of 7,444, showcasing its critical role in data management and querying. Other notable technologies include ETL at 2,981 and Machine Learning at 2,883, indicating a trend towards integrating advanced analytics and data processing skills. These findings underscore the necessity for hiring managers to prioritize these technologies when considering candidates or developing recruitment strategies, as depicted in the accompanying chart.

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