Data Science Developer Hiring Trends in Monaco

This report was last updated on Aug 17, 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 witnessed limited openings, with only one new job recorded in the past 12 weeks, reflecting a challenging hiring environment for Data Data Science Engineers.
A notable talent pool exists in Monaco, yet hiring managers face a heightened difficulty in securing candidates, necessitating refined recruitment strategies to compete with more favorable conditions in other European countries.
Mid-Senior level positions dominate, accounting for 64% of job listings, indicating robust demand for experienced Data Data Science Engineers and highlighting the need to focus recruitment efforts on these seniority levels.
Nice emerges as the leading city for hiring Data Engineers, representing 42% of job openings, followed by Sophia Antipolis and Valbonne, highlighting key areas of focus for effective recruitment.
The median time to hire for Data Data Science Engineer roles in Monaco is 34 days, suggesting that hiring managers must strategize to align recruitment processes with current timelines and talent availability.

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 notable fluctuations, with only one new job opening recorded in week 28. This stark contrast highlights the challenging landscape for Data Data Science Engineers, especially when juxtaposed with the consistent closures of positions, which averaged several jobs closed weekly, peaking at seven in week 2. Such trends indicate a limited number of new Data Data Science Developer opportunities in Monaco relative to the demand, suggesting that recruitment strategies for CTOs and Engineering Managers must adapt to these market conditions, particularly when compared to hiring trends observed in other European countries.

Who else is hiring for data Engineers in Monaco:

Company name	Country	Industry	Founded	# Job openings
Kicklox - Plateforme de matching entre talents tech & porteurs de projets	France	Information Technology & Services	2015	4
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
Arm	United Kingdom	Semiconductors	1990	2
Axelera AI	Netherlands	Semiconductors	2021	2
SBM Offshore	Netherlands	Oil & Energy	1959	2

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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 job market in Monaco reveals a challenging landscape for hiring managers, with a limited number of job openings compared to the available talent pool. Current data shows that Monaco has a ratio, derived from its talent pool size and job openings, indicating a relatively higher difficulty in filling positions compared to other European countries. As a result, CTOs in Monaco's tech sector may need to refine their recruitment strategies to attract the right candidates amidst the rising demand for Data Data Science Engineers. Evaluating these recruitment approaches will be crucial for addressing the future demand for Data Science Engineers in Monaco.

Seniority distribution of Data Science Engineer job openings in Monaco

Seniority Distribution of Data Science Engineering Jobs in Monaco

In Monaco's Data Data Science job market, the seniority distribution reveals a notable trend among professionals seeking opportunities. Mid-Senior level positions dominate with 64% of the job listings, followed by Associate roles at 30%, and Entry level positions also representing 30%. This distribution indicates a robust market for experienced Data Data Science Engineers, highlighting recruitment strategies that focus on attracting and retaining talent at these seniority levels.

Preferred employment type for Engineering roles in Monaco

In Monaco, the employment landscape for engineering roles reveals a strong preference for full-time positions, which constitute 95% of the market. Contract roles follow, accounting for 5% of the job opportunities, while internships and part-time positions make up a minor 4% and 2%, respectively. This distribution underscores the robust demand for Data Data Science Engineers in Monaco, emphasizing the need for effective recruitment strategies targeted at securing full-time talent.

Time to Hire Distribution for Data in Monaco

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineer positions in Monaco demonstrates a varied landscape, with a notable concentration of candidates being hired in the 30 to 35-day range, accounting for 52 and 21 positions respectively. This suggests a prominent trend where recruitment cycles typically extend beyond a month, reflecting both the demand for qualified talent and the intricate selection processes involved. A significant 18 candidates were hired within the 25-day bracket, indicating potential efficiency in onboarding for roles that meet urgent business needs. However, notably, only 2 placements occurred within the 70-day timeframe, underscoring a possible slowdown in hiring for more senior roles. For hiring managers in Monaco's tech sector, these insights underline the necessity for strategic recruitment planning to align with current hiring timelines and talent availability.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Monaco to hire Data Engineers

Top 5 cities in Monaco to hire Data Engineers

In the job market for Data Science Engineers in Monaco, the distribution of openings reveals a concentrated focus in a few key areas. Nice leads with 42% of the total job openings, followed by Sophia Antipolis at 20% and Valbonne at 19%. Notably, Monaco itself accounts for 10% of the openings, illustrating that while the capital plays a crucial role, nearby cities significantly dominate the Data Data Science job market.

Most sought after technologies in Monaco for Data Science

Key technologies for Data Science Engineers

In the evolving Data Data Science job market in Monaco, several technologies demonstrate significant prevalence among job postings. Python leads with a frequency of 5846, closely followed by Machine Learning at 3002, reflecting a strong emphasis on these competencies. SQL (2078) and AI (1795) also play crucial roles in data-driven environments, showcasing the importance of database management and artificial intelligence in contemporary job requirements. Additionally, Java (1689) and Data Science itself (1671) remain foundational, underlining the diverse technological landscape that hiring managers need to consider. For a comprehensive overview, please refer to the accompanying chart.

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