Data Engineer Developer Hiring Trends in 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 Data Engineer job market in Germany has seen a dynamic fluctuation in roles over the past three months, with a total of 155 job openings compared to 105 positions closed, indicating a growing demand for Data Engineers despite the challenges in the hiring landscape.
Currently, the talent pool for Data Data Engineer roles in Germany is facing pressures, as the number of job openings exceeds available professionals, thereby creating a competitive market for hiring managers and requiring innovative recruitment strategies to attract top talent.
Key technologies in demand for Data Engineers include SQL (1,979 mentions), Python (1,969), and various Data Engineering tools, showcasing the necessary technical proficiencies that hiring managers should prioritize in their candidate searches.
Berlin is the leading city for Data Engineer job opportunities, accounting for 46% of openings, followed by Munich and Hamburg, which signifies the importance of these urban centers in shaping effective recruitment strategies for Data Engineers in Germany.
The median time to hire for Data Engineers in Germany stands at 30 days, underscoring the necessity for hiring managers to streamline their recruitment processes to secure talent efficiently and meet their project's timelines.

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

Over the past 12 weeks, the Data Data Engineer job market in Germany has exhibited notable fluctuations, with significant peaks in job postings. Week 31 recorded the highest number of new openings at 54 jobs, suggesting a surge in demand for Data Data Engineer roles. However, this spike contrasts with the closure of 11 jobs in the preceding week, reflecting a challenging balance in the hiring landscape. In total, there have been 155 job openings compared to 105 jobs closed, indicating a growing market despite the volatility. This trend in the Data Data Engineer job market diverges from other tech roles throughout Europe, where similar hiring patterns are evident, yet less pronounced in scale.

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 demand for Data Engineers in Germany's tech sector is substantial, evidenced by the ratio of job openings to available talent pool. Specifically, with a count of job openings significantly higher than the available talent, the hiring landscape appears challenging for recruiters. In comparison, countries like Poland and France exhibit more favorable ratios, suggesting a more accessible talent pool. Accordingly, hiring managers in Germany may need to implement innovative recruitment strategies to attract the best Data Engineer talent, as competition intensifies across the region.

Seniority distribution of Data Engineer Engineer job openings in Germany

Seniority Distribution of Data Engineer Engineering Jobs in Germany

The seniority distribution for Data Data Engineer positions in Germany reveals a clear trend towards experienced professionals. Currently, 45% of job openings are for Mid-Senior level Data Engineers, while Entry level positions account for 28%. Additionally, Associate roles comprise 17% of the market, highlighting a balanced demand for both emerging talent and seasoned practitioners in the tech sector.

Preferred employment type for Engineering roles in Germany

In the German engineering job market, full-time positions dominate with a significant 94% of available roles, reflecting the strong demand for stable employment among Data Data Engineer Engineers. Part-time opportunities account for 4%, while internships represent a mere 2% of the job landscape. This distribution indicates a clear preference for full-time commitments, underscoring the necessity for recruitment strategies that align with the prevailing trends.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineer positions in Germany reveals significant insights for hiring managers in the tech industry. Notably, the majority of candidates are secured between 10 to 30 days, with 240 hires at 10 days and 286 at 30 days. In contrast, the data shows that only a small fraction of candidates are hired within the first week, with just 11 positions filled immediately. As such, hiring managers should anticipate a median timeframe of about 30 days to attract suitable Data Engineer talent. This understanding of Data Engineer hiring trends can greatly inform recruitment strategies for CTOs and tech leads.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

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 shows a significant concentration in Berlin, which accounts for 46% of job listings. Munich follows with 21%, while Hamburg comprises 15% of the total job opportunities. This data highlights Berlin's prominence as the leading hub for Data Engineers in Germany, making it a focal point for recruitment strategies in the tech sector.

Most sought after technologies in Germany for Data Engineer

Key technologies for Data Engineer Engineers

In the dynamic landscape of the Data Engineer job market in Germany, a set of technologies emerges as critical for prospective candidates. SQL leads with the highest frequency of usage at 1,979, followed closely by Python, which boasts a significant presence at 1,969. Data Engineering tools such as ETL tools and Data Analysis platforms are frequently utilized, with frequencies of 825 and 708 respectively. Cloud services are also pivotal, with AWS at 491 and Azure at 383, along with emerging tools like Databricks at 248. This trend highlights the importance of technical proficiency in these areas for hiring managers, as illustrated in the accompanying chart.

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