Agency Partners

Data Developer Hiring Trends in Hamburg, Germany

This report was last updated on May 24, 2025

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 Engineers job market trends in Germany, particularly in Hamburg, reflect a dynamic and competitive landscape with a total of 38 new job openings and 66 closures over the last 12 weeks.
  • Top companies actively hiring Data Engineers in Germany include adesso SE, KPMG Deutschland, and ALDI SÜD, showcasing substantial recruitment activities in the sector.
  • The talent pool for Data Engineers in Germany is sizable but faces competition; the ratio of job openings to available talent poses challenges for hiring managers, emphasizing the need for effective recruitment strategies.
  • In Hamburg, mid-senior level positions dominate the market, comprising 54% of available roles, with notable opportunities for entry-level professionals at 38%.
  • The average time to hire for Data Engineers in Germany is approximately 33 days, indicating an urgent need for efficient recruitment processes to secure top talent.
Number of roles opened and closed for Data Engineers in Hamburg in the last 3 months

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

Over the past 12 weeks, the data job market in Germany Hamburg has exhibited fluctuating dynamics, with a total of 38 new Data Engineer positions opened, peaking at 9 in week 12. Notably, there were 66 job closures during the same period, indicating a significantly higher turnover rate in Data Developer roles compared to other tech positions in Germany Hamburg. This trend highlights the competitive landscape for Data Engineering talent. In contrast, other European countries also reflect a strong demand for Data Engineers, emphasizing the need for effective recruitment strategies for CTOs within Germany Hamburg's tech sector.

Who else is hiring for data Engineers in Germany:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 14
adesso SE logo adesso SE Germany Information Technology & Services 1997 13
KPMG Deutschland logo KPMG Deutschland null null null 12
ALDI SÜD logo ALDI SÜD Germany Retail null 10
Canonical logo Canonical United Kingdom Information Technology & Services 2004 8
Capgemini logo Capgemini France Management Consulting 1967 5
Instaffo logo Instaffo Germany Information Technology & Services 2014 5
Delivery Hero logo Delivery Hero Germany Information Technology & Services 2011 5
Miltenyi Biotec logo Miltenyi Biotec Germany Research 1989 4
BCG X logo BCG X null null null 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 Engineers job market trends in Germany, particularly in Hamburg, exhibit a competitive landscape characterized by a significant number of job openings relative to the available talent pool. For instance, Germany shows a jobs-to-talent pool ratio that indicates pronounced hiring challenges, especially when compared to countries like France, where the job market is similarly competitive, or the Netherlands and Poland, which showcase a more favorable hiring environment due to a lower ratio. This suggests that while opportunities for Data Developers in Germany Hamburg are ample, hiring managers—CTOs and Engineering Managers—should brace for intense competition as they navigate recruitment strategies to attract top talent in this demanding sector.

Seniority distribution of Data Engineer job openings in Hamburg

Seniority Distribution of Data Engineering Jobs in Hamburg

In the competitive landscape of the Data Engineers job market in Germany, particularly in Hamburg, the seniority distribution reveals noteworthy insights. Mid-Senior level positions account for 54% of available roles, highlighting a strong demand for experienced professionals. Entry-level roles comprise 38% of the market, indicating that there are ample opportunities for newcomers in the field. Furthermore, Associate positions make up 17% of the job offerings, suggesting that organizations are keen on hiring individuals with some level of experience to bridge the gap between entry-level and mid-senior roles.

Chart about preferred employment type for Engineering roles in Germany

Preferred employment type for Engineering roles in Germany

In the German engineering job market, the majority of positions are offered on a full-time basis, constituting 93% of available roles. This is followed by part-time opportunities, which account for 4%, and internships make up 2% of the employment types. These figures highlight the preference for full-time employment in Germany's engineering sector, particularly for Data Engineers in cities like Hamburg.

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 reveals significant insights into the recruitment landscape, particularly in cities like Hamburg. The most prevalent hiring timeframe ranges from 30 to 35 days, accounting for 461 of the total recorded hires. Additionally, a notable 157 candidates were hired within 25 days, indicating a swift selection process for some organizations. In contrast, the duration exceeding 40 days shows decreased counts, highlighting the urgency in filling Data positions. This trend suggests that hiring managers must strategically align their recruitment processes to attract top Data Engineers efficiently, especially in Germany's competitive tech sector.

Most popular cities in Germany to hire Data Engineers

Top 5 cities in Germany to hire Data Engineers

In the competitive landscape of the Data Engineers job market in Germany, Berlin leads with 604 job openings, accounting for 48% of the total opportunities. Munich follows, representing 27% with 292 positions available. Notably, Hamburg stands at 16% with 198 job postings, making it a significant player in the overall distribution of Data Engineers roles across the country. For further details, please refer to the accompanying chart.

Most sought after technologies in Hamburg for Data

Key technologies for Data Engineers

In the dynamic landscape of the data job market in Germany, particularly in Hamburg, several technologies are emerging as frontrunners. Python leads the way with a substantial usage frequency of 12,677, reflecting its centrality in data engineering roles. Following closely, SQL holds a significant position with a frequency of 11,044, underscoring its importance in data manipulation and querying. Other notable mentions include ETL and Data Engineering, with frequencies of 4,179 and 4,200 respectively, indicating a strong demand for these competencies. Additionally, Machine Learning, with a frequency of 3,781, showcases the growing trend towards advanced analytics skills in the hiring landscape. This data is further illustrated in the accompanying chart, which provides a comprehensive overview of the technologies shaping the future demand for Data Engineers in Germany, Hamburg.

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