Agency Partners
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.
In the past 12 weeks, the Data Engineering job market in Germany, particularly in Munich, has exhibited significant fluctuation. The weekly job postings peaked at 18 openings in week 15, followed by a sharp decline to just 2 openings in weeks 16 and 22. Simultaneously, the closure of Data Developer positions reached a maximum of 11 in week 20. Over this period, there were weeks where the number of jobs closed exceeded new postings, indicating a tightening of opportunities. Compared to other roles in the tech sector, Data Engineering positions seem to be facing intense competition and demand dynamics, which may require CTOs and hiring managers to adapt their recruitment strategies accordingly.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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TieTalent | Switzerland | Information Technology & Services | 2017 | 102 |
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adesso SE | Germany | Information Technology & Services | 1997 | 14 |
|
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KPMG Deutschland | null | null | null | 12 |
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ALDI SÜD | Germany | Retail | 1913 | 10 |
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Canonical | United Kingdom | Information Technology & Services | 2004 | 9 |
|
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Jobster | Netherlands | Information Technology & Services | 2023 | 6 |
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Instaffo | Germany | Information Technology & Services | 2014 | 5 |
|
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HUK-COBURG | Germany | Insurance | 1933 | 5 |
|
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Nanz medico | Germany | Hospital & Health Care | 1996 | 5 |
|
|
CGI | Canada | Information Technology & Services | 1976 | 4 |
The talent market for Data Engineers in Germany, particularly in Munich, presents a challenging landscape for hiring managers. With a significant number of job openings compared to the available talent pool, the jobs-to-talent pool ratio indicates that recruitment efforts may be more strenuous in Germany. For instance, while Germany displays a competitive atmosphere, countries like France, Spain, and the Netherlands show varying ratios. In contrast, the demand for Data Engineers is growing, amplifying the competition for skilled professionals. As such, recruitment strategies for CTOs in Germany must adapt to these trends to secure top Data Engineer talent in this evolving tech sector.
In the competitive landscape of the Data Engineers job market trends in Germany, particularly in Munich, the seniority distribution reflects a significant demand for diverse experience levels. Currently, 43% of available positions are targeted at Mid-Senior level professionals, closely followed by Entry level roles which account for 25% of the job openings. Additionally, Associate positions make up 16% of the market, indicating robust opportunities for aspiring Data Developers in Germany Munich.
In the competitive engineering landscape of Germany, particularly within Munich, the employment type distribution reveals critical insights for hiring managers. About 93% of engineering roles are offered as full-time positions, indicating a strong preference for commitment and stability. Part-time roles constitute approximately 4%, while internships represent around 2% of the market, highlighting the importance of full-time opportunities in attracting top talent.
The time to hire distribution for Data jobs in Germany, particularly in Munich, reveals critical insights for hiring managers. An analysis of the data shows that the majority of positions, specifically 236 instances, were filled within 10 days, indicating a swift recruitment process in the tech sector. However, as the timeline extends, opportunities become less frequent, with only 4 positions taking over 100 days to hire. This trend illustrates the emerging need for recruitment strategies that can expedite the hiring of Data Engineers amid increasing competition for talent in Europe. For CTOs and engineering managers, understanding these hiring trends is essential for navigating the growing landscape of Data Developer opportunities in Germany Munich.
The job market for Data Data Science Engineers in Estonia, particularly in Tallinn, shows significant volatility with a notable peak of 17 new positions recorded in week 13, followed by a rapid decline, underscoring challenges for hiring managers.
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The Data Data Engineer job market in Switzerland is currently experiencing a competitive landscape, with a significant talent pool size suggesting challenges for hiring managers.
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The Data Engineers job market trends in Romania, specifically in Brașov, reveal a fluctuating landscape, highlighting the need for targeted recruitment strategies for organizations in this region.
View ReportIn the competitive job market for Data Engineers in Germany, Berlin leads with 63% of the job openings, followed by Munich at 28% and Hamburg with 20%. This distribution highlights Berlin's dominance as a tech hub, while Munich remains a significant player in the Data job market in Germany, showcasing emerging opportunities conducive to growth in the region.
The analysis of the Data Engineers job market trends in Germany Munich highlights the importance of several key technologies that are prevalent in the sector. Python emerges as the most utilized technology, with a significant usage frequency of 11,009, followed by SQL at 9,771, indicating a strong reliance on these programming languages for data management and analysis. Additionally, Data Engineering, with a frequency of 3,972, signifies its critical role in shaping robust data pipelines. Other notable technologies include ETL at 3,777 and Machine Learning, which has a frequency of 3,522. For a visual representation, please refer to the accompanying chart that outlines these data points.
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