Data Developer Hiring Trends in Frankfurt, 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 Engineers job market in Germany, particularly in Frankfurt, is currently characterized by competitive dynamics and significant hiring activity.
Over the past 12 weeks, there have been notable fluctuations in job openings for Data Engineers, with a peak of 12 new postings in week 21, indicating potential opportunities for hiring managers to leverage.
In terms of talent availability, the current ratio highlights a competitive landscape, as the number of job openings outpaces the qualified talent pool, making recruitment strategies crucial for CTOs and hiring managers in Frankfurt's tech sector.
The median time to hire for Data Engineers in Germany stands at 31 days, emphasizing the need for swift and efficient recruitment processes amid increasing demand.
The seniority distribution shows a strong preference for Mid-Senior level professionals, accounting for 43% of positions, which suggests a target area for recruitment efforts to optimize workforce capabilities.

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

Over the past 12 weeks, the Data Engineers job market in Germany, specifically in Frankfurt, has demonstrated a fluctuating yet notable activity. Notably, week 21 marked a peak with 12 new job postings, contrasting sharply with weeks 20 and 28, which recorded just 1 opening each. However, job closures have also been significant, with an average of 4 jobs closed weekly, suggesting a competitive market that may drive hiring managers to consider aggressive recruitment strategies. In comparison, trends in hiring Senior Data Developers across Europe indicate varying demand, yet Frankfurt remains a critical hub for potential Data Developer opportunities.

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 current talent market for Data Engineers in Europe reveals notable disparities in the availability of qualified candidates versus job openings. In Germany, there is a growing demand indicated by the high number of job openings compared to a relatively smaller talent pool, suggesting a competitive hiring landscape. Specifically, countries like France, the Netherlands, and the United Kingdom also show robust demand; however, their talent pools vary significantly. The ratio of talent pool to job openings in Germany highlights that hiring Data Engineers may be more challenging compared to other tech sectors in Europe, where competition among hiring managers, CTOs, and recruiters intensifies.

Seniority distribution of Data Engineer job openings in Frankfurt

Seniority Distribution of Data Engineering Jobs in Frankfurt

In the Data Engineers job market trends in Germany Frankfurt, the seniority distribution reveals that 43% of positions are held by Mid-Senior level professionals, while 36% are occupied by Entry level candidates. Additionally, Associate level roles account for 27% of the openings. This data highlights the importance of targeting Mid-Senior level talent, especially for recruitment strategies for CTOs in Germany Frankfurt's tech sector.

Preferred employment type for Engineering roles in Germany

In the German job market, particularly in Frankfurt, the employment type distribution for engineering roles reflects a strong preference for full-time positions, which account for 96% of the total opportunities. Part-time roles comprise 4%, while internships make up about 2%. This reveals a robust demand for full-time Data Engineer roles, presenting significant opportunities for recruitment strategies targeting hiring managers in Germany's 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 roles in Germany, particularly in Frankfurt, presents a diverse distribution reflective of the competitive job market. A significant number of positions, totaling 288, are filled within 30 days, indicating a strong influx of candidates in this timeframe. However, as the hiring window extends to 25 days, we observe an increase to 243 counts, followed by 233 positions being filled within 10 days. For hiring managers and CTOs, this data underscores the necessity of swift recruitment strategies in the ever-evolving landscape of the data job market in Germany, specifically in Frankfurt, where demand for skilled Data Engineers continues to grow.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In Germany, the distribution of job openings for Data Engineers reveals significant concentration in major cities. Berlin leads with 39% of job listings, followed by Munich at 18%, and Hamburg with 13%. Frankfurt, while a key player, accounts for 8% of the total job market in this domain, showcasing its role as an important tech hub despite being less prominent than the capital.

Most sought after technologies in Frankfurt for Data

Key technologies for Data Engineers

In the context of the Data Engineers job market trends in Germany, particularly in Frankfurt, the adoption of various technologies shows distinct patterns. Notably, Python leads with a frequency of 9,057, establishing itself as a critical skill for Data Developers. SQL follows closely at 8,396, highlighting its essential role in data management and querying. Other significant technologies include Data Engineering at 3,897 and ETL at 3,343, which are crucial for data integration processes. Moreover, Machine Learning and Azure also stand out, with frequencies of 3,188 and 2,012, respectively. A chart is provided to visualize these technology adoption trends prevalent among Data jobs in Germany.

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