Agency Partners

Data Developer Hiring Trends in Stuttgart, Germany

This report was last updated on Aug 16, 2025

Bence Gedai / Founder

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

  • In the last 12 weeks, the Data Engineer job market in Germany Stuttgart has seen 28 new roles posted, indicating an active yet competitive landscape for hiring managers.
  • The seniority distribution reveals that 43% of roles are entry-level, while mid-senior positions account for 34%, indicating a balanced range of experience levels available for recruitment in Stuttgart.
  • Currently, full-time roles dominate the market, making up 96% of available opportunities, highlighting the demand for stable employment in Stuttgart's tech sector.
  • Stuttgart is among the top cities in Germany for Data Engineer hiring, yet Berlin leads with 824 job openings, underscoring the importance of broadening recruitment strategies.
  • Time to hire for Data Engineers stands at a median of 32 days, presenting hiring managers with an imperative to adopt agile strategies to attract and secure qualified candidates efficiently.
Number of roles opened and closed for Data Engineers in Stuttgart in the last 3 months

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

In the last 12 weeks, the Data Engineer job market in Germany Stuttgart has exhibited fluctuating activity, with a total of 28 new roles posted. Notably, the peak occurred in week 21 with 10 new openings, while subsequent weeks revealed a declining trend, dropping to 1 in week 24 and consistently low numbers thereafter. In contrast, job closures peaked with 6 positions closed in week 29 and a total of 21 jobs closed overall, indicating a competitive landscape for Data Engineer roles. Compared to other technology roles in Stuttgart and other European cities, these hiring trends underscore an urgent need for effective recruitment strategies for CTOs, as the demand for Data Developers continues to evolve amidst these challenges.

Who else is hiring for data Engineers in Germany:

Company name Country Industry Founded # Job openings
adesso SE logo adesso SE Germany Information Technology & Services 1997 14
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 12
KPMG Deutschland logo KPMG Deutschland null null null 12
Canonical logo Canonical United Kingdom Information Technology & Services 2004 10
Instaffo logo Instaffo Germany Information Technology & Services 2014 10
ALDI SÜD logo ALDI SÜD Germany Retail 1913 8
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 6
ALTEN Germany logo ALTEN Germany Germany Information Technology & Services 1988 5
Microsoft logo Microsoft United States Information Technology & Services 1975 5
SoSafe logo SoSafe United States Information Technology & Services 2018 4

Here are a few specialized data agencies you can trust:

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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 Engineer job market in Germany, particularly in Stuttgart, reflects a competitive landscape characterized by a substantial demand for skilled professionals. With a notable number of job openings compared to the available talent pool, the ratio suggests that hiring Data Engineers in Germany may present challenges. For instance, when compared to neighboring countries like France, the Netherlands, and Poland, Germany’s talent pool size shows a lower ratio of available candidates per job opening, indicating a tighter market. This scenario necessitates proactive recruitment strategies for CTOs and hiring managers, aiming to fill Data Developer positions efficiently. As the technological landscape continues to evolve, monitoring trends in hiring Senior Data Developers will be critical in adapting recruitment efforts within Stuttgart’s burgeoning tech sector.

Seniority distribution of Data Engineer job openings in Stuttgart

Seniority Distribution of Data Engineering Jobs in Stuttgart

In the competitive Data Engineers job market in Germany, specifically Stuttgart, the seniority distribution reveals a strong demand for various experience levels. Entry-level positions account for 43% of the roles, followed closely by Mid-Senior level opportunities at 34%. Additionally, Associate roles represent 8% of the job market, highlighting the balanced range of seniority that hiring managers can expect in Stuttgart's tech sector.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In the German engineering job market, specifically for data roles, the predominant employment type is full-time positions, accounting for 96% of available opportunities. Part-time roles make up 4%, while internships represent 2% of the total job market. This distribution highlights the strong demand for stable, full-time positions, which is critical information for hiring managers, especially in Stuttgart's competitive tech landscape.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire for Data Engineers in Germany reveals critical insights for hiring managers in Stuttgart and beyond. A significant 287 positions require 30 days to fill, indicating a competitive market that necessitates agile recruitment strategies. Furthermore, with 245 roles taking 10 days, it suggests that providers keen on securing talent must be prepared to engage promptly. As hiring managers analyze these trends, a notable 126 positions take 15 days, highlighting the urgency for effective recruitment that aligns with the future demand for Data Engineers in Germany's tech landscape.

Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the analysis of the Data Engineers job market trends in Germany, particularly in Stuttgart, it is noteworthy that Berlin leads with 824 job openings, representing 40% of the total data set. Following Berlin, Munich accounts for 19% with 389 opportunities, while Hamburg contributes 12%, showcasing 277 job openings. This distribution highlights Berlin's prominent position in the Data job market in Germany, making it essential for hiring managers to consider when strategizing for recruitment.

Most sought after technologies in Stuttgart for Data

Key technologies for Data Engineers

In the dynamic landscape of the data job market in Germany, particularly in Stuttgart, several technologies stand out as essential for professionals in the field. Python, with a notable frequency of 8,339, continues to be a leading programming language, underscoring its pivotal role in data innovation. SQL follows closely with 7,824 mentions, reinforcing its importance in managing and querying databases. Additionally, Data Engineering technologies are prominently represented, with a frequency of 3,748, highlighting their critical function in modern data infrastructures. Machine Learning, with a frequency of 3,002, illustrates the growing emphasis on advanced analytical capabilities. For further insights, please refer to the accompanying chart showcasing the data points.

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