Agency Partners

Data Developer Hiring Trends in Germany

This report was last updated on Sep 7, 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 German Data Engineers job market has experienced significant fluctuations in recent months, with a peak of 98 job openings recorded in week 31, reflecting a dynamic landscape requiring adaptive recruitment strategies.
  • Top companies hiring Data Engineers in Germany include adesso SE, with 14 openings; KPMG Deutschland, with 12 openings; and Instaffo, also with 9 openings, showcasing diverse opportunities across the tech sector.
  • With a total talent pool size supporting 90 job openings, the current hiring environment remains moderately competitive, urging hiring managers to refine their recruitment strategies amidst the evolving demand for Data Engineers.
  • Berlin stands out as the leading city for Data Engineer positions in Germany, accounting for 55% of job openings, followed by Munich and Hamburg with 26% and 19% respectively, indicating geographical hotspots for Data Developer opportunities.
  • The median time to hire for Data Engineers in Germany is currently 32 days, suggesting that while some positions can be filled quickly, hiring managers should be prepared for longer recruitment timelines for specific roles.
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

In recent weeks, the German Data Engineer job market has displayed fluctuating activity, with openings peaking at 98 positions in week 31. However, the comparison between new jobs posted and closed jobs hints at considerable dynamics: although there were 90 jobs opened in week 28, a notable 151 positions were closed in the preceding week, indicating a rapid turnover in this segment. This trend contrasts with other technology roles in Germany, where openings and closures tend to maintain a more balanced ratio. As such, hiring managers in Germany's tech sector must adapt their recruitment strategies to navigate these evolving Data Engineer opportunities, while also considering similar hiring trends for Data Developers across Europe.

Who else is hiring for data Engineers in Germany:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 17
adesso SE logo adesso SE Germany Information Technology & Services 1997 14
KPMG Deutschland logo KPMG Deutschland null null null 12
Canonical logo Canonical United Kingdom Information Technology & Services 2004 10
Microsoft logo Microsoft United States Information Technology & Services 1975 9
Instaffo logo Instaffo Germany Information Technology & Services 2014 9
Trimble Inc. logo Trimble Inc. United States Information Technology & Services 1978 5
Apside Switzerland logo Apside Switzerland Switzerland It Services And It Consulting 2015 5
SoSafe logo SoSafe United States Information Technology & Services 2018 4
ALTEN Germany logo ALTEN Germany Germany Information Technology & Services 1988 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 talent market for Data Engineers in Europe reveals significant disparities across various countries. Germany has a robust job market, with numerous job openings compared to the available talent pool, indicating a competitive landscape for hiring Data Engineers. For instance, while the talent-to-job opening ratio suggests a moderate hiring difficulty in Germany, countries like France and the Netherlands show even more challenging conditions with lower talent availability relative to job demand. Conversely, Poland appears to offer a more favorable environment for hiring, with a higher ratio of available Data Engineers. Consequently, CTOs and hiring managers in Germany should refine their recruitment strategies to navigate these complexities in the local tech sector, particularly in light of the future demand for Data Engineers.

Seniority distribution of Data Engineer job openings in Germany

Seniority Distribution of Data Engineering Jobs in Germany

The seniority distribution of Data Engineering roles in Germany highlights a strong inclination towards Mid-Senior level positions, which account for 41% of the total job openings. Entry level positions follow closely, representing 34% of the market. Additionally, Associate roles make up 12% of available jobs, indicating a competitive environment for emerging professionals in this field.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In Germany's data engineering job market, full-time positions dominate with 95% of job listings, reflecting the strong preference for stable, long-term employment in this sector. Part-time roles account for 4% of employment opportunities, while internships make up approximately 2%. This distribution highlights the necessity for hiring managers to focus on attracting full-time candidates to meet the growing demand for data engineers.

Time to Hire Distribution for Data in Germany

How long does it take to hire Data Engineers

In the competitive landscape of the Data Engineers job market trends in Germany, the time to hire reveals significant insights for recruitment strategies. The majority of hires occur within a timeframe of 10 to 30 days, with 240 candidates hired at the 10-day mark and 286 at 30 days, indicating a preference for swift recruitment in the sector. However, longer hiring times remain prevalent, with notable counts at 35 days (140) and 40 days (107), suggesting that while quick placements are common, some positions may require extended consideration. This data highlights the necessity for hiring managers in Germany's tech industry to tailor their approaches, balancing speed with thorough candidate evaluation to meet the future demand for Data Engineers.

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 a concentration in key cities, with Berlin leading significantly at 55% of the total job market. Munich follows with 26%, while Hamburg accounts for 19% of the openings. This distribution underscores the capital's prominent role in the Data job market in Germany, as illustrated in the accompanying chart.

Most sought after technologies in Germany for Data

Key technologies for Data Engineers

In the competitive Data Engineers job market trends in Germany, certain technologies dominate in usage among hiring managers and candidates. Python leads the way with a significant frequency of 7785, underscoring its critical role in data manipulation and analysis. SQL follows closely behind with a frequency of 7444, highlighting its importance for database management tasks. ETL tools, essential for data integration and transformation, have a notable presence with a frequency of 2981. Additionally, Machine Learning technologies, with a frequency of 2883, indicate a growing trend towards integrating advanced analytics capabilities. Data Science is also a key focus area, evidenced by a frequency of 1631. These insights reflect the foundational technologies shaping Data Developer opportunities in Germany and align with the chart presented for further exploration.

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.