Agency Partners

Market insights for hiring Data Engineers in Germany

This report was last updated on Apr 12, 2025

Agency Partners scans all software engineering jobs in Europe in real time. We monitor 50.000+ jobs each week to gather insights about the job market and indentify top companies. Top companies work with us to find their world-class development partners to drive their innovation projects.

Key Insights from this report

  • The Data Engineers job market trends in Germany exhibit significant fluctuations, with a peak of 536 new job postings in week 5 of the last 12 weeks, highlighting a robust demand for talent.
  • A total talent pool of 5,000 Data Engineers competes against approximately 1,000 job openings, indicating a challenging recruitment landscape with a jobs-to-talent pool ratio of 5, emphasizing the urgency for strategic hiring approaches.
  • Berlin, Munich, and Hamburg emerge as the top three cities for Data Engineer job openings, collectively representing 66% of the available roles, crucial insights for hiring managers targeting local talent.
  • The market shows a clear preference for full-time engagements, accounting for 97% of Data Engineering roles, reflecting the demand for stable employment in Germany's tech sector.
  • The median time to hire Data Engineers is 34 days, with a majority of successful placements occurring within 30 days, necessitating prompt recruitment strategies for CTOs and hiring managers in a competitive environment.
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 Engineering job market in Germany presents dynamic trends, evidenced by a notable fluctuation in job postings over the last 12 weeks. Recently, the peak was reached in week 5, with 536 new Data Engineering jobs opened, which then saw a steady decline to 200 in week 14. Notably, the recruitment landscape reflects a considerable gap between openings and closures, with 44 jobs closed in week 11 compared to 544 new job postings, indicating a robust demand for Data Engineers. Furthermore, while Germany's Data roles have shown variability, the overall data job market in Europe remains strong, suggesting that hiring managers in Germany can anticipate continued opportunities in Data Engineering as we move forward.

Who else is hiring for Data Engineers in Germany:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 8
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 4
SR2 | Socially Responsible Recruitment | Certified B Corporation™ logo SR2 | Socially Responsible Recruitment | Certified B Corporation™ United Kingdom It Services And It Consulting 2017 4
Diehl Defence logo Diehl Defence null null null 3
CBTW logo CBTW Belgium It Services And It Consulting null 3
Apside Switzerland logo Apside Switzerland Switzerland It Services And It Consulting 2015 3
sevdesk logo sevdesk null null null 3
The Adecco Group logo The Adecco Group Switzerland Human Resources Services null 2
Innoprox GmbH logo Innoprox GmbH null null null 2
ML6 | Your partner in AI logo ML6 | Your partner in AI Belgium Information Technology & Services 2013 2

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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 Engineers job market trends in Germany reveal a challenging recruitment landscape, with the ratio of available talent to job openings indicating strained hiring conditions. Specifically, Germany has a talent pool of 5,000 Data Engineers against 1,000 job openings, resulting in a jobs-to-talent pool ratio of 5. In comparison, France demonstrates a more favorable hiring environment with a ratio of 3, while the Netherlands shows a similar trend at 4. However, the United Kingdom, though competitive, presents a tougher scenario with a ratio of 2. These figures emphasize the urgency for recruitment strategies for CTOs in Germany's tech sector, as the future demand for Data Engineers in Germany continues to grow amidst tightening competition.

Seniority distribution of Data Engineer job openings in Germany

Seniority Distribution of Data Engineering Jobs in Germany

The seniority distribution for Data Engineering roles in Germany reveals a significant concentration of positions at the Mid-Senior level, comprising 51% of available jobs. Entry-level positions account for 31%, while Associate roles represent 18% of the market. This distribution highlights the pressing demand for skilled Data Engineers and underscores the importance of targeted recruitment strategies for CTOs and hiring managers looking to fill these key roles.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In Germany's engineering job market, the majority of positions are full-time, accounting for 97% of the available roles. Part-time roles represent a mere 1% of the employment types, while contract positions make up 1% as well. This distribution indicates a strong preference for full-time engagements within the sector, underlining the demand for stable, long-term employment in the tech industry.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Germany reveals significant insights for hiring managers. Predominantly, the majority of hires are achieved within 30 days, accounting for 123 successful placements, illustrating a swift recruitment cycle in the tech sector. Notably, the demand for Data Engineers is reflected in the substantial number of roles filled within the 25 to 30-day range, further emphasizing the competitive landscape. However, as the time to hire extends beyond 30 days, we observe a gradual decline in successful placements, with only 8 candidates hired at the 70 to 75-day mark. This data underscores the urgency for CTOs and engineering managers to adopt effective recruitment strategies to secure essential Data Engineer talent amidst rising competition within Germany's burgeoning tech market.

Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

The distribution of Data Engineer job openings in Germany reveals a significant concentration in key cities, with Berlin leading the way at 36% of all listings. Munich follows with 17%, and Hamburg accounts for 13%. This data underscores the capital's prominent role in the Data job market in Germany, providing critical insights for recruitment strategies for CTOs aiming to attract top talent.

Most sought after technologies in Germany for Data

Key technologies for Data Engineers

The data job market in Germany is predominantly influenced by a selection of key technologies essential for aspiring Data Engineers. Notably, SQL leads with a frequency of 11,974, emphasizing its critical role in data retrieval and management. Following closely are Python and ETL, with frequencies of 14,061 and 4,460 respectively, showcasing the importance of programming versatility and data processing capabilities. Cloud technologies, particularly AWS with a frequency of 3,223 and Azure at 3,067, are also pivotal as companies increasingly leverage cloud solutions for their data infrastructure. This landscape is visually represented in the accompanying chart, illustrating these trends in detail.

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