Data Developer Hiring Trends in Stuttgart, 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 trends in Germany, particularly in Stuttgart, have shown a net increase in demand with significant activity over the past 12 weeks, peaking at 6 new openings in one week.
A total of 852 job openings for Data Engineers across Germany have been reported, with Stuttgart being among the top five cities, highlighting the strong market presence in this region.
The majority of Data Engineering positions, 43%, are entry-level, indicating a diverse talent pool which can be strategically targeted by hiring managers for future growth.
The competitive hiring landscape in Stuttgart necessitates effective recruitment strategies, as the talent availability is outpaced by the number of job openings, making it challenging to secure qualified Data Engineers.
The median time to hire a Data Engineer in Germany is currently 32 days, with most candidates being hired within 10 to 30 days, suggesting an active and dynamic candidate pool.

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

Over the past 12 weeks, the Data Engineers job market in Stuttgart, Germany, has witnessed fluctuating activity, with a notable peak of 6 new job openings in week 30. In contrast, job closures have been inconsistent, peaking at 6 closed positions in week 26. This disparity highlights a growing demand for Data Developer roles, as evidenced by a net increase in job openings despite periodic closures. When compared to other tech roles in Stuttgart, the demand for Data Engineers appears robust, especially as hiring trends for Senior Data Developers show potential for further growth across Europe, creating ample Data Developer opportunities in Germany Stuttgart.

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 engineering job market across Europe reveals significant disparities in job openings and available talent, particularly when focusing on Germany. With a substantial number of job openings compared to a growing talent pool, the ratio of talent availability indicates a competitive hiring landscape, particularly in Stuttgart. In comparison, countries such as France, the Netherlands, and Poland exhibit varying levels of recruitment ease, with lower job openings relative to their talent pools. Consequently, hiring managers and CTOs in Stuttgart may face challenges in securing qualified Data Engineers, prompting the need for robust recruitment strategies to attract top talent in this fast-evolving tech sector.

Seniority distribution of Data Engineer job openings in Stuttgart

Seniority Distribution of Data Engineering Jobs in Stuttgart

In the Data Engineers job market trends in Germany Stuttgart, the predominance of entry-level positions is notable, comprising 43% of the total roles. Mid-senior level positions account for 35%, while internship opportunities represent 12%. This seniority distribution highlights the availability of Data Developer opportunities and indicates potential recruitment strategies for CTOs looking to cultivate talent within Stuttgart's tech sector.

Preferred employment type for Engineering roles in Germany

The employment type distribution for engineering roles in Germany reveals a strong preference for full-time positions, which constitute 95% of the market. Part-time roles account for 4%, while internship opportunities represent approximately 2%. This data underscores the established trend towards full-time employment for Data Engineers and similar roles in Germany's tech sector, particularly in cities like Stuttgart.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

Analyzing the time to hire distribution for Data jobs in Germany reveals key insights for hiring managers in Stuttgart and beyond. The majority of candidates are hired within a range of 10 to 30 days, with 240 positions filled at 10 days, and a significant 286 at the 30-day mark. Notably, 74 positions take only 5 days or less to fill, indicating an active pool of available talent. Conversely, hiring timelines extend considerably, with 140 candidates hired at 35 days and 107 at 40 days, emphasizing the competition for specialized Data Engineers. This data underscores the necessity for effective recruitment strategies tailored to the dynamic tech sector in Stuttgart.

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Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the current landscape of the Data Engineers job market in Germany, Stuttgart stands out with a total of 852 job openings in Berlin, accounting for 53% of the overall opportunities. Munich follows with 395 positions, representing 25% of the market. Hamburg captures 18% with 286 job openings. This distribution emphasizes the importance of the capital, Berlin, as a central hub for Data Engineer talent. For a detailed overview, please refer to the accompanying chart.

Most sought after technologies in Stuttgart for Data

Key technologies for Data Engineers

In the evolving landscape of the Data job market in Germany, particularly in Stuttgart, certain technologies have emerged as dominant players. Python leads with an impressive frequency of 7,785, reflecting its critical role in Data Engineering and analytics. SQL follows closely, utilized in various data management tasks with a frequency of 7,444. Other essential technologies include ETL (2,981), which is vital for data integration processes, Machine Learning (2,883), contributing to intelligent data analysis, and Data Analysis (2,271), highlighting the importance of deriving insights from data. For a detailed breakdown of technology usage, please refer to the accompanying chart.

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