Data Developer Hiring Trends in Berlin, 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 trends in Germany, particularly in Berlin, indicate a competitive landscape with a total of 36 new job openings at its peak over the past 12 weeks and an average of 11 per week thereafter.
Berlin is the most significant city for Data Engineer job opportunities, representing 48% of the market in Germany, followed by Munich and Hamburg, highlighting its strategic importance in the Data job market in Germany Berlin.
A notable 63% of available Data Engineer positions are at the Mid-Senior level, with entry level roles at 23% and Associate positions at 15%, emphasizing the need for hiring managers to target mid-level talent.
The current hiring environment is challenging due to a limited talent pool, making it essential for CTOs and Engineering Managers to strategize effectively amidst high demand for qualified Data Engineers.
The median time to hire Data Engineers in Germany is 31 days, indicating the necessity for efficient recruitment processes to attract top talent quickly in the competitive tech sector.

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

Over the past 12 weeks, the Data Engineer job market in Berlin has exhibited notable fluctuations in job postings. Initially, the count surged significantly to a peak of 36 new positions in week 21, followed by a decline, averaging approximately 11 new openings per week in the subsequent weeks. Comparatively, the number of jobs closed has varied more dramatically, with a high of 28 closures in week 23, highlighting a dynamic hiring environment. This trend positions Data Engineer roles as increasingly competitive within the tech sector in Germany Berlin, reflecting similar patterns observed in other major European cities, indicating a robust future demand for Data Engineers across the continent.

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 job market for Data Engineers in Germany, particularly in Berlin, has been characterized by a high number of job openings compared to the available talent pool. As of the latest analysis, Germany boasts a substantial number of positions, but the talent pool is limited, resulting in a challenging hiring landscape for employers. In contrast, countries such as France, the Netherlands, and Spain are also experiencing similar trends, where the demand for Data Engineers outpaces the existing talent, yet they may present relatively easier hiring conditions. The ratio of available candidates to job openings indicates a competitive environment, suggesting that hiring managers in Germany may face difficulties in securing qualified Data Engineers as they navigate this tight labor market.

Seniority distribution of Data Engineer job openings in Berlin

Seniority Distribution of Data Engineering Jobs in Berlin

In the competitive Data Engineers job market in Germany, specifically in Berlin, the seniority distribution reveals critical insights for hiring managers. The majority of job openings are at the Mid-Senior level, accounting for 63% of available positions. Entry level roles comprise 23%, while Associate positions make up 15%. Understanding this distribution is essential for CTOs and Engineering Managers strategizing their recruitment efforts in this dynamic tech sector.

Preferred employment type for Engineering roles in Germany

In the German job market for engineering roles, the employment type distribution reveals that 94% of positions are full-time, accounting for 40,784 job opportunities. Part-time roles represent 4% with 1,741 positions, while internships make up 2% with 904 available opportunities. This clear predominance of full-time roles illustrates the demand for committed talent in the tech sector, particularly for Data Engineers.

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 roles in Germany reveals a significant trend in recruitment dynamics. Most candidates are successfully hired within 30 to 35 days, accounting for 288 and 147 counts, respectively. The peak hiring period occurs between 25 and 30 days, reflecting a swift recruitment process that is becoming essential in the competitive tech landscape of Berlin. Additionally, hiring managers should take note of the considerable drop in candidate counts beyond 40 days, indicating a potential challenge in securing top talent if the hiring process is prolonged. This data is crucial for CTOs and Engineering Managers aiming to refine their recruitment strategies in Germany's thriving tech sector.

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Insights for hiring Data Engineers in Warsaw

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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 Data Engineer job openings highlights a significant concentration in key cities. Berlin stands out as the capital, representing 48% of the total job market for Data Engineers, followed by Munich at 23% and Hamburg at 17%. This data underscores the strategic importance of Berlin in the overall Data job market in Germany, providing valuable insights for hiring managers considering recruitment in this technology sector. Please refer to the accompanying chart for a visual representation of these metrics.

Most sought after technologies in Berlin for Data

Key technologies for Data Engineers

The Data job market in Germany, particularly in Berlin, is characterized by a strong emphasis on key technologies. According to recent data, Python leads the pack with a significant usage frequency of 9,057, making it indispensable for Data Engineers and Developers. SQL follows closely with a frequency of 8,396, highlighting its crucial role in data manipulation and querying. Other notable technologies include ETL, which is frequently utilized with a count of 3,343, and Machine Learning, at 3,188, reflecting the growing integration of intelligent data solutions. For a visual representation of these trends, please refer to the accompanying chart.

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