Data Science Developer Hiring Trends in Hamburg, Germany

This report was last updated on Jun 21, 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 Science Engineer job market in Hamburg has shown promising trends, with a notable increase in job openings, particularly a spike of 9 new positions posted in week 21, contrasting with the stable closure rates averaging 2 to 3 per week.
Currently, there are approximately 28 job openings for Data Data Science Engineers in Germany, with notable hiring coming from top companies, including adesso SE, KPMG Deutschland, and ALDI SÜD, highlighting strong industry demand.
The talent pool size for Data Data Science Engineers in Hamburg indicates a competitive hiring environment, with a significant number of job openings compared to the available talent, suggesting a need for well-planned recruitment strategies by CTOs in the region.
Berlin stands out as the leading city for hiring Data Engineers in Germany, representing 72% of job openings, while Munich and Hamburg account for 33% and 18%, respectively, emphasizing the distribution of opportunities across major urban centers.
The median time to hire for Data Science positions in Germany is currently 28 days, with many hires achieved within 10 days, indicating a swift recruitment process that tech leads and recruiters should consider when strategizing their hiring.

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

In Hamburg's tech sector, the Data Data Science Engineer job market has shown sporadic growth over the last 12 weeks, with a noticeable spike in week 21, where 9 new positions were posted, showcasing an emerging trend in hiring for these roles. However, the number of closed positions has been relatively consistent, averaging around 2 to 3 closures per week. When compared to other roles within Germany Hamburg, Data Data Science Engineers appear to be experiencing an upward trajectory in job openings, contrasting with a more stable trend in other sectors. Furthermore, this trend aligns with broader patterns observed across Europe, where demand for Data Data Science professionals remains strong, indicative of a robust recruitment landscape.

Who else is hiring for data Engineers in Germany:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	102
adesso SE	Germany	Information Technology & Services	1997	14
KPMG Deutschland	null	null	null	12
ALDI SÜD	Germany	Retail	1913	10
Canonical	United Kingdom	Information Technology & Services	2004	9
Jobster	Netherlands	Information Technology & Services	2023	6
Instaffo	Germany	Information Technology & Services	2014	5
HUK-COBURG	Germany	Insurance	1933	5
Nanz medico	Germany	Hospital & Health Care	1996	5
CGI	Canada	Information Technology & Services	1976	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 Science Engineers in Germany, particularly in Hamburg, reveals a challenging landscape for hiring managers. With a notable number of job openings compared to the available talent pool, the ratio indicates that recruiting these specialists can be quite competitive. When juxtaposed with other European countries such as France, Spain, and the Netherlands, Germany's hiring conditions display less favorable ratios, suggesting a tighter market. This trend highlights the critical need for well-strategized recruitment approaches tailored specifically for the tech sector in Germany, Hamburg, positioning hiring managers to better navigate the robust demand for Data Data Science Developers amid the evolving technology landscape.

Seniority distribution of Data Science Engineer job openings in Hamburg

Seniority Distribution of Data Science Engineering Jobs in Hamburg

In the Hamburg job market for Data Data Science Engineering, the seniority distribution reveals a notable concentration in the Mid-Senior level category, accounting for 44% of total job openings. Entry level positions make up 34%, while Associate roles constitute 10%. This distribution underscores the growing demand for experienced professionals in Germany Hamburg's Data Data Science sector.

Preferred employment type for Engineering roles in Germany

In the German engineering job market, Full-time positions dominate, accounting for 96% of the available roles. Part-time jobs represent a smaller segment at 4%, while Internship opportunities make up approximately 2% of the employment types. This distribution highlights the stability and reliance on full-time talent as hiring managers navigate the Data Data Science Engineers job market trends in Germany, particularly in cities like Hamburg.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Science positions in Germany indicates a complex recruitment landscape. A significant portion, comprising 236 counts, hires take about 10 days, highlighting a pace that hiring managers should be prepared for. The fluctuation in time to hire shows that while many candidates can be brought on board within 30 days, with 210 counts reported, there remains a challenge with hires taking longer—reflecting on the 144 counts for 15 days, and 90 counts for 40 days. This insight underscores the necessity for CTOs and Engineering Managers in the German tech sector to adopt proactive recruitment strategies to stay competitive within the swiftly evolving Data Science job market in Germany, particularly in cities like Hamburg.

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The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the German job market for Data Data Science Engineers, Berlin stands out as the primary hub, accounting for 72% of job openings, followed by Munich and Hamburg with 33% and 18% respectively. Notably, Berlin, as the capital, continues to drive significant demand in the tech sector. The accompanying chart illustrates these distribution percentages within the top cities, providing a clearer picture of the opportunities available.

Most sought after technologies in Hamburg for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market in Germany, particularly in Hamburg, several technologies have emerged as pivotal in shaping the landscape. Python leads the charge with a significant usage frequency of 8,765, reflecting its dominance in data analysis and machine learning applications. Following closely, SQL is critical for database management and data manipulation, boasting a frequency of 3,046. Machine Learning occupies a vital role with a frequency of 3,522, underscoring its importance in the development of predictive models. Java and JavaScript are also prevalent, with frequencies of 3,073 and 2,058, respectively, highlighting their utility in backend and frontend development environments. These insights are illustrated in the accompanying chart, which provides a visual representation of the most commonly utilized technologies in the Data Data Science sector.

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