Agency Partners

Data Engineer 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 has demonstrated notable fluctuations over the past three months, with 58 new positions opened and 49 closed, resulting in a modest net gain of job opportunities, underscoring the volatility hiring managers face.
  • Berlin, Munich, and Hamburg are the top cities for Data Engineer job openings, with Berlin leading at 55% of total opportunities, making it essential for hiring managers to focus their recruitment efforts in these key locations.
  • The median time to hire for Data Engineers in Germany stands at 33 days, with a significant number of candidates available within the 30 to 55-day window, highlighting the urgency for hiring managers to act swiftly in their recruitment processes.
  • The employment landscape favors full-time positions, which comprise 96% of the job market, indicating that CTOs and hiring managers should prioritize long-term, full-time roles to attract the best Data Engineer talent.
  • Current trends show a competitive environment for hiring Data Engineers in Germany, driven by the higher number of job openings compared to available talent, suggesting that effective recruitment strategies will be crucial for CTOs navigating this challenging landscape.
Number of roles opened and closed for Data Engineer Engineers in Germany in the last 3 months

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

In Germany, the job market for Data Data Engineers exhibits significant fluctuations, with new job postings peaking at 25 positions in week 21, followed by a substantial decline. Over the last 12 weeks, a total of 58 new positions were posted, while 49 positions were closed, indicating a modest net gain in job opportunities. Compared to other roles within the tech sector, the Data Data Engineer job market demonstrates a unique volatility, with hiring trends distinctly influenced by project demands. This variability presents a challenge for hiring managers and CTOs aiming to attract and retain talent in Germany's competitive environment.

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

Here are a few specialized data agencies you can trust:

Logo of recommended agencyLogo of recommended agencyLogo of recommended agency
Want to get personalized matches? Get started
Talent pool vs job openings for Data Engineers in Germany

How competitive it is to hire Data Engineers in Germany

The current landscape of the Data Engineer job market in Europe reveals varying degrees of hiring ease across different nations. In Germany, the ratio of the talent pool to job openings indicates a competitive environment, with a higher number of job openings compared to available talent. Countries like France and the Netherlands also reflect a similar trend, but with a slightly more favorable talent-to-job ratio. This suggests that while opportunities for Data Engineers are abundant in these markets, establishing effective recruitment strategies is essential for CTOs aiming to secure top talent. Overall, hiring Data Engineers in Germany presents a notable challenge, particularly as demand continues to escalate.

Seniority distribution of Data Engineer Engineer job openings in Germany

Seniority Distribution of Data Engineer Engineering Jobs in Germany

In the German job market for Data Data Engineer Engineering positions, the seniority distribution reveals that 51% of roles are categorized as Mid-Senior level, followed by 28% at the Entry level, and 20% classified as Associate. This distribution highlights a robust demand for professionals with mid-tier experience, indicating a strategic opportunity for hiring managers and recruiters looking to attract mid-senior talent.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

The employment landscape for engineering roles in Germany reveals a strong preference for full-time positions, which account for 96% of the job market. In contrast, part-time roles comprise only 4%, while internships and contract positions represent a mere 2% and 2%, respectively. This distribution highlights the dominance of full-time employment, indicating the strategic focus for CTOs and hiring managers aiming to attract top Data Engineers as they navigate the competitive tech sector.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineers in Germany reflects significant variability, with the majority of candidates being sourced within a 30 to 55-day window. Specifically, 288 listings indicate a hire at the 30-day mark, while the count decreases gradually for longer hiring timelines. Notably, hiring managers can expect a surge in suitable candidates at approximately 25 days, with an additional considerable number of applicants emerging until the 60-day threshold. Understanding these hiring dynamics is critical for CTOs and recruiting professionals in adapting their recruitment strategies to meet the evolving demands of the tech sector in Germany.

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 reveals Berlin as the leading city with 55% of the total job opportunities. Following closely is Munich, contributing 26% to the job market, while Hamburg accounts for 19%. As the capital and a significant tech hub, Berlin's dominance is a key consideration for hiring managers looking to attract top Data Engineer talent.

Most sought after technologies in Germany for Data Engineer

Key technologies for Data Engineer Engineers

In the competitive landscape of the Data Data Engineer job market in Germany, certain technologies have emerged as essential tools for professionals in the field. The most frequently utilized technology is SQL, with a notable frequency of 1,372, closely followed by Python at 1,338. Data Engineering itself, with a frequency of 736, underscores the domain's focus on robust data infrastructure. Other significant technologies include ETL, often employed for data integration tasks, at 571, and Cloud services, represented prominently with 137. This data, illustrated in the accompanying chart, highlights the foundational technologies critical for current and future Data Data Engineer opportunities in Germany.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.