Data Developer Hiring Trends in Hamburg, 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 in Germany, particularly in Hamburg, has seen varying demand over the past three months, with a peak of 17 job openings in week 28, indicating a fluctuation that hiring managers need to navigate carefully.
Currently, there are over 1,000 Data Engineers available in Hamburg, creating a competitive atmosphere with more job openings than suitable candidates, necessitating proactive recruitment strategies for companies looking to fill these roles.
Prominent companies actively hiring Data Engineers in Hamburg include adesso SE with 14 open positions, KPMG Deutschland with 12, and Instaffo also contributing to the growing demand in this sector.
The average median time to hire for Data Engineers in Germany stands at 32 days, highlighting the urgency of employing streamlined recruitment processes to secure top talent efficiently.
Hamburg accounts for 17% of Data Engineer job opportunities in Germany, making it a significant city alongside Berlin and Munich, emphasizing the need for targeted recruitment strategies that cater to this locale's unique market dynamics.

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

Over the past 12 weeks, the Data Engineer job market in Hamburg has displayed notable fluctuations in job postings. With a peak of 17 jobs opened in week 28, there has been a consistent demand, though it has tapered off to as low as 1 job in week 35. On the closure side, there have been 1 to 9 jobs closed weekly, highlighting a tightening market where hiring managers must adapt recruitment strategies effectively. Compared to other roles in Germany, the hiring landscape for Data Engineers suggests a competitive yet promising environment, echoing similar trends seen across Europe where the demand outpaces supply in many tech sectors.

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 job market in Germany, particularly in Hamburg, presents a competitive landscape for hiring Data Engineers. With a notable number of job openings, Germany's talent pool reflects a challenging hiring environment with a jobs-to-talent pool ratio indicating more demand than supply. Conversely, countries like France, Spain, and the Netherlands report a more balanced ratio, suggesting easier hiring conditions in comparison. As the future demand for Data Engineers continues to rise across Germany and major European markets, recruiters and CTOs in Hamburg must adopt strategic recruitment strategies to attract talent effectively, given the trends in hiring Senior Data Developers.

Seniority distribution of Data Engineer job openings in Hamburg

Seniority Distribution of Data Engineering Jobs in Hamburg

In the Hamburg job market for Data Engineers, the seniority distribution reveals a significant emphasis on Mid-Senior level roles, comprising 48% of the openings. Entry level positions follow closely, accounting for 38%, while Associate roles represent 23% of the market. This data illustrates the current hiring landscape, highlighting a demand for experienced Data Engineers in Germany's tech sector, particularly in Hamburg.

Preferred employment type for Engineering roles in Germany

In the German job market, the employment types for engineering roles are predominantly full-time, accounting for 95% of job offerings, followed by part-time positions at 4% and internships at 2%. This distribution highlights the strong inclination towards permanent roles, which is particularly relevant for hiring managers and CTOs in shaping their recruitment strategies. Understanding these employment trends is essential for those targeting the data job market in Germany, especially in cities like Hamburg.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

In the competitive data job market in Germany, particularly in Hamburg, the time to hire for Data Engineers shows significant variation. The predominant hiring window ranges from 10 to 30 days, capturing 240 and 286 counts, respectively. This indicates that many employers are aiming to fill positions swiftly, with a noticeable spike in openings requiring a turnaround within 30 days. However, longer hiring times beyond 30 days remain relevant, with several counts extending up to 105 days. This distribution highlights the need for recruitment strategies that can adapt to both urgent and prolonged hiring processes, essential for CTOs and hiring managers navigating the evolving landscape of Data Engineer opportunities in Germany's tech sector.

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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 showcases a significant concentration in Berlin, which accounts for 51% of the total listings. Following Berlin, Munich represents 24% of the job market, while Hamburg hosts 17% of relevant opportunities. This distribution highlights Berlin's dominance as the primary city for Data job market in Germany, making it a focal point for hiring managers and recruitment strategies in the tech sector.

Most sought after technologies in Hamburg for Data

Key technologies for Data Engineers

In the competitive landscape of data jobs in Germany, particularly in Hamburg, several technologies stand out due to their popularity and relevance. SQL, with a staggering frequency of 7,444, dominates the technical requirements, indicating a critical need for proficiency in relational databases. Python follows closely with 7,785 mentions, showcasing its versatility in data manipulation and analysis. The rise of Machine Learning is also notable, with a frequency of 2,883, reflecting an increasing emphasis on intelligent data processing. Additionally, ETL processes remain essential, with a substantial frequency of 2,981, as companies continue to prioritize efficient data integration. For a detailed breakdown of these usage trends, please refer to the accompanying chart.

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