Agency Partners

Data Developer Hiring Trends in Germany

This report was last updated on Aug 9, 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

  • The Data Engineer job market in Germany is experiencing significant growth, with a peak of 397 new positions opened in a single week.
  • In the past 12 weeks, 92 job openings were closed in the same week, indicating a competitive environment requiring effective recruitment strategies for CTOs in Germany's tech sector.
  • Berlin dominates the market for Data Engineer roles, leading with 49% of job openings, followed by Munich at 23% and Hamburg at 17%.
  • The talent pool remains tight, with a median time to hire for Data Engineers of 31 days, emphasizing the need for swift recruitment strategies.
  • Full-time positions represent 95% of job offerings, indicating a strong demand for long-term commitments from skilled Data Engineers in Germany.
Number of roles opened and closed for Data Engineers in Germany in the last 3 months

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

The Data Engineer job market in Germany has shown significant fluctuations over the last 12 weeks, with a notable peak of 397 new positions opened in week 21. However, hiring trends also reveal that 92 jobs were closed in the same week, indicating a competitive landscape. As job closures continued to hover around similar figures in subsequent weeks, the net new jobs for Data Developers highlight an urgent need for effective recruitment strategies for CTOs within Germany's tech sector. When compared to the overall European market, these trends indicate a growing demand for Data Engineers, positioning Germany as a key player in the recruitment of Senior Data Developers.

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 13
KPMG Deutschland logo KPMG Deutschland null null null 12
Canonical logo Canonical United Kingdom Information Technology & Services 2004 10
ALDI SÜD logo ALDI SÜD Germany Retail 1913 10
Instaffo logo Instaffo Germany Information Technology & Services 2014 8
n8n logo n8n Germany Information Technology & Services 2019 5
Miltenyi Biotec logo Miltenyi Biotec Germany Research 1989 5
Apside Switzerland logo Apside Switzerland Switzerland It Services And It Consulting 2015 4
SoSafe logo 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 data job market in Germany currently exhibits significant hiring challenges, with a ratio of talent pool to job openings indicating a tighter labor market for Data Engineers. Germany, with a considerable number of job openings, faces competition from neighboring countries such as France and Spain, where the ratio of talent to positions offers slightly more favorable conditions for hiring. In contrast, the Netherlands shows a more abundant talent pool relative to its job openings, suggesting that recruitment strategies for CTOs in Germany's tech sector may require innovative approaches to attract top-tier Data Developers. Overall, the future demand for Data Engineers in Germany necessitates a strategic focus on recruitment, as trends indicate a growing reliance on data-driven solutions across all sectors.

Seniority distribution of Data Engineer job openings in Germany

Seniority Distribution of Data Engineering Jobs in Germany

In the German job market for Data Engineers, the distribution of seniority levels reveals key insights for hiring managers. The majority of openings are for Mid-Senior level positions, accounting for 45% of roles, followed closely by Entry level roles at 40%. Associate positions represent 15% of the demand, highlighting the competitive landscape for Data Developer opportunities in Germany.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

The employment type distribution for engineering roles in Germany reveals a predominant preference for full-time positions, which constitute 95% of job offerings in the market. Part-time roles account for 4% of available opportunities, while internships represent 1%. This data highlights the necessity for hiring managers to focus their recruitment strategies on full-time talent to meet the growing demand for skilled professionals.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire for Data jobs in Germany exhibits a varied distribution, highlighting significant insights for hiring managers. Notably, a prominent portion of hires—approximately 288 positions—were filled within the 30-day mark, indicating a strong demand for swift recruitment strategies. Additionally, a further 243 candidates were hired within 25 days, emphasizing the urgency often associated with filling these critical roles in the tech sector. Conversely, as the time to hire extends beyond 40 days, the counts significantly decrease, suggesting a waning interest from job seekers or increased competition for top talent. These hiring trends underscore the necessity for effective recruitment strategies for CTOs and engineering managers aiming to capture the top Data Engineer talent in Germany’s competitive job market.

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 urban centers. Berlin leads the market with 49% of positions, followed by Munich at 23% and Hamburg at 17%. This data underscores Berlin's status as a pivotal hub for Data Engineer recruitment in the country, as illustrated in the accompanying chart.

Most sought after technologies in Germany for Data

Key technologies for Data Engineers

The data job market in Germany is prominently influenced by several key technologies, as illustrated in the accompanying chart. Python emerges as the most sought-after technology, boasting an impressive frequency of 9,057. Following closely, SQL is integral to data roles with a frequency of 8,396, highlighting its critical importance in data management. Other notable technologies include ETL with 3,343 mentions, Machine Learning at 3,188, and Data Engineering at 3,897. These figures underscore the essential skills that hiring managers should focus on when considering Data Engineer hiring trends across Europe's technology landscape.

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