Data Science Developer Hiring Trends in Monaco

This report was last updated on Sep 6, 2025

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 Data Data Science job market in Monaco has exhibited limited activity over the past three months, with a total of only 1 job posted while 30 positions were closed, indicating a net decrease in available roles.
Despite this contraction, hiring managers should note that the demand for Data Data Science Engineers continues to grow, signaling future demand in Monaco may outpace current job postings.
In Monaco's competitive landscape, Nice stands out as the top city for Data Engineer hiring, comprising 56% of job openings, followed by Sophia Antipolis and Valbonne, underscoring regional hiring trends.
Recruitment strategies for CTOs in Monaco's tech sector should reflect the current talent pool distribution, which is primarily concentrated in mid-senior level positions (45%), yet still offers opportunities for entry-level candidates (29%).
The average median time to hire for Data Engineers in Monaco is 38 days, thereby highlighting the importance of efficient recruitment processes to capture top talent in a tightening market.

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

In the last 12 weeks, the Data Data Science job market in Monaco has shown a modest activity with only 1 job posted, indicating a cautious hiring landscape. In contrast, a notable 30 jobs were closed during this period, reflecting a net decrease in available positions. This trend suggests that hiring for Data Data Science Engineers is outpacing job postings, a phenomenon that could signal a tightening market for future demand for Data Data Science Engineers in Monaco. Compared to other roles within Monaco's tech sector or similar roles across Europe, the demand for Data Data Science Developers appears less robust, reinforcing the need for effective recruitment strategies among CTOs to attract and retain top talent.

Who else is hiring for data Engineers in Monaco:

Company name	Country	Industry	Founded	# Job openings
Apside Switzerland	Switzerland	It Services And It Consulting	2015	4
Groupe SII	France	Information Technology & Services	1979	3
Datadog	United States	Information Technology & Services	2010	2
Canonical	United Kingdom	Information Technology & Services	2004	2
Astek	France	Information Technology & Services	1988	2
SQUAD - Cabinet de conseils et d’expertises	France	Information Technology & Services	2011	2
Axelera AI	Netherlands	Semiconductors	2021	2
SBM Offshore	Netherlands	Oil & Energy	1959	2
Up Technologies	France	Information Technology & Services	2015	1
Fortinet	United States	Computer & Network Security	2000	1

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Talent pool vs job openings for Data Engineers in Monaco

How competitive it is to hire Data Engineers in Monaco

The Data Data Science Engineers job market trends in Monaco indicate a nuanced landscape when compared to neighboring countries such as France, Germany, and the UK. With a relatively high number of job openings and a limited available talent pool, Monaco presents challenges for hiring managers seeking to fill Data Data Science Engineer positions. The ratio of talent pool size to job openings suggests that, while there's potential, the demand may outpace the available talent, making it moderately difficult to secure skilled professionals. In contrast, larger markets like France and Germany showcase a more favorable ratio and a deeper talent pool, suggesting that hiring for Data Data Science Developers may be more accessible in these regions. As a result, recruitment strategies for CTOs in Monaco's tech sector must focus on innovative approaches to attract the limited pool of Data Data Science talent.

Seniority distribution of Data Science Engineer job openings in Monaco

Seniority Distribution of Data Science Engineering Jobs in Monaco

The seniority distribution of Data Data Science Engineering roles in Monaco reveals that 45% of the positions are at the Mid-Senior level, followed by 29% at the Entry level, and 23% for Associate roles. This indicates a diverse talent pool, with a significant focus on attracting experienced professionals while still providing opportunities for entry-level candidates. For hiring managers, this awareness of the seniority landscape is crucial for tailoring recruitment strategies in Monaco's competitive tech sector.

Preferred employment type for Engineering roles in Monaco

In the Monaco job market, the employment type distribution for engineering roles reveals that a significant 94% of positions are full-time, indicating a strong demand for long-term commitments from Data Data Science Engineers. Contract roles constitute 5%, while internships account for 3%. This distribution highlights the preference for stability in hiring practices among employers looking to fill critical Data Data Science Developer opportunities in Monaco.

Time to Hire Distribution for Data in Monaco

How long does it take to hire Data Engineers

In analyzing the time to hire for Data Science positions in Monaco, the data reveals a notable distribution. The majority of candidates (20%) are hired within 30 days, indicating a relatively swift recruitment process in the market. However, the distribution shows that hiring times extend beyond 30 days, with a significant number of candidates still needing up to 50 days. It's important for hiring managers to recognize that while candidates can be secured quickly, the complexity of roles such as Data Science Engineers may necessitate longer recruitment periods. Furthermore, understanding these hiring trends is crucial for CTOs and engineering managers strategizing for future demand in Monaco's tech sector.

Expolore reports from other European Developer talent pools

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The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Monaco to hire Data Engineers

Top 5 cities in Monaco to hire Data Engineers

In the competitive landscape of the Data Data Science job market in Monaco, the top three cities exhibiting the highest demand for positions are Nice, accounting for 56% of job openings, followed by Sophia Antipolis with 27%, and Valbonne at 25%. While Monaco itself contributes to the job market with 10% of the total openings, it is important to highlight that the capital remains a strategic location for data professionals. Please refer to the accompanying chart for a detailed visual representation of these distribution trends.

Most sought after technologies in Monaco for Data Science

Key technologies for Data Science Engineers

In the evolving Data Data Science job market, particularly in Monaco, several technologies have emerged as crucial for success. The most frequently utilized tool is Python, with a notable frequency of 5,169, demonstrating its dominance in the field. Following closely are Machine Learning and SQL, with frequencies of 2,883 and 1,822, respectively, highlighting their essential roles in data manipulation and predictive analytics. Other relevant technologies include Java, .NET, and AI, which are also seeing significant usage. For a visual representation of these trends, please refer to the accompanying chart.

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