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 job market for Artificial Intelligence Engineers in Germany has exhibited notable fluctuations. The peak occurred in week 15 with 389 new job postings, significantly outpacing the average weekly openings of other tech roles. However, the market also experienced periods of decline, such as weeks 17 and 18, where new job postings dropped to just 13 and 16 respectively. Meanwhile, job closures have remained high, with 148 positions closed in week 17 alone, indicating a competitive landscape for hiring in Germany’s tech sector. Compared to other European countries, such as France and the UK, where similar openings saw steadier growth, Germany faces challenges in retaining talent amidst fierce competition.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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TieTalent | Switzerland | Information Technology & Services | 2017 | 10 |
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Deloitte | United States | Management Consulting | 1845 | 9 |
|
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adesso SE | Germany | Information Technology & Services | 1997 | 8 |
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Trimble Inc. | United States | Information Technology & Services | 1978 | 7 |
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Delivery Hero | Germany | Information Technology & Services | 2011 | 7 |
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CGI | Canada | Information Technology & Services | 1976 | 6 |
|
Constructor Knowledge | Switzerland | Higher Education | null | 6 |
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Miltenyi Biotec | Germany | Research | 1989 | 5 |
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Diehl Defence | Germany | Defense & Space | 1902 | 5 |
|
AI Futures | United Kingdom | Staffing & Recruiting | 2024 | 5 |
The talent market for Artificial Intelligence Engineers in Europe reveals significant disparities among various countries. For instance, Germany, despite being a technological powerhouse, has a relatively low jobs-to-talent pool ratio, indicating a competitive environment for hiring. In comparison, countries like Poland and the Netherlands demonstrate a more favorable ratio, suggesting an easier recruitment environment for CTOs. Furthermore, while the talent pool in Spain is burgeoning, the demand for skilled AI professionals outpaces the supply. Thus, hiring managers in Germany may face challenges in finding qualified Artificial Intelligence Engineers, necessitating innovative recruitment strategies to attract top talent.
The seniority distribution of Artificial Intelligence Engineering jobs in Germany reveals significant insights for hiring managers. Currently, 41% of positions are categorized as Mid-Senior level, while 39% are Entry level roles. Additionally, Internship opportunities comprise 14% of the job market, indicating a robust pipeline for emerging talent in the field.
In the German job market for engineering roles, the majority are employed full-time, accounting for 97% of positions. Part-time roles make up 3% of the market, while internships represent a small fraction at 2%. Understanding these employment type distributions is crucial for hiring managers and CTOs as they strategize for recruitment in the competitive Artificial Intelligence Engineers job market in Germany.
The time to hire for Artificial Intelligence Engineers in Germany highlights notable trends that hiring managers should consider. The data reveals a significant concentration of hires occurring between 30 to 40 days, with 212 and 245 counts respectively, indicating an average time frame for successful placements. Additionally, the peak hiring period lies around the 35-day mark, emphasizing the need for efficient recruitment strategies within Germany's tech sector to attract top talent. Although the demand for Artificial Intelligence roles continues to rise, hiring managers must be cognizant of the quicker turnaround times in decision-making to remain competitive in the evolving job market. Understanding these hiring trends is essential for CTOs and Engineering Managers aiming to optimize their recruitment processes for Artificial Intelligence Developers.
In Germany, the job market for Artificial Intelligence Engineers is predominantly centered in three key cities. Berlin leads with 50% of job openings, followed by Munich with 30% and Hamburg at 12%. This concentration highlights Berlin's status as a pivotal hub for Artificial Intelligence talent in the country. For a visual representation, please refer to the accompanying chart.
Analyzing the current trends in the Artificial Intelligence job market in Germany, several technologies emerge as predominant in job postings. Python leads with a significant frequency of 11,455 mentions, showcasing its essential role in AI development. Machine Learning follows closely, with a total of 6,456 mentions, highlighting its integral application in AI projects. Additionally, SQL, Data Analysis, and AWS demonstrate their relevance with 4,727, 2,937, and 1,270 mentions respectively, underscoring the diverse skill set required for Artificial Intelligence Engineer opportunities. For a comprehensive overview of these technologies, please refer to the accompanying chart.
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