Data Science Developer Hiring Trends in Valbonne, Monaco

This report was last updated on Jun 14, 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

Over the last 12 weeks, job data for Data Data Science Engineers in Monaco Valbonne indicates a fluctuating landscape, with a peak of 9 job closures in a single week amidst a stagnation in new job postings, suggesting that hiring for this role may be increasingly challenging for CTOs and engineering managers.
The preferred employment type for Data Data Science Engineers in Monaco leans heavily towards full-time positions, which constitute 92% of the job market, signaling a significant opportunity for hiring managers to focus recruitment efforts on attracting permanent talent.
Python remains the dominant technology for Data Data Science roles, with an impressive frequency of 9,223, while SQL and Java also show substantial usage, making technical proficiency in these areas essential for candidates.
Top cities for hiring Data Data Science Engineers in the Monaco Valbonne area include Nice, leading with 53% of job postings, followed by Sophia Antipolis and Valbonne, which could guide recruitment strategies geographically for hiring managers.
Hiring for Data Data Science Engineers in Monaco reflects a competitive environment, with hiring times averaging around 34 days, suggesting that efficient recruitment strategies will be crucial for CTOs and recruiters looking to secure top talent in this tightening job market.

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

Over the last 12 weeks, the data for Data Data Science Engineer roles in Monaco Valbonne reveals a noteworthy trend, with 9 jobs closed in one week marking the highest activity. The recruitment landscape shows a fluctuations in job closures, including peaks with 3 and 2 jobs closed on multiple occasions. Comparatively, the lack of new job postings suggests a stagnation in hiring for Data Data Science roles, which could indicate a challenging environment for recruiting talent. This trend contrasts with other European regions where hiring activity for Data Data Science Engineers has demonstrated more consistent openings, potentially guiding CTOs and hiring managers in Monaco Valbonne to adjust their recruitment strategies accordingly.

Who else is hiring for data Engineers in Monaco:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	9
Thales	France	Information Technology & Services	1893	8
DigitValue	France	Information Technology & Services	2016	4
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
Arm	United Kingdom	Semiconductors	1990	4
Groupe SII	France	Information Technology & Services	1979	4
Datadog	United States	Information Technology & Services	2010	3
Astek	France	Information Technology & Services	1988	3
Thales Microwave & Imaging Sub-Systems	null	null	null	3

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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 talent market for Data Data Science Engineers in Monaco reveals a relatively challenging hiring landscape. With a job opening count significantly lower than larger markets, such as Germany, France, and the UK, Monaco's talent pool presents a tighter ratio. For instance, Germany offers a robust number of openings with a broad talent base, leading to a more favorable hiring environment. In contrast, Monaco's limited openings compared to available talent accentuates recruitment difficulties. Considering Monaco's specific context alongside these larger European markets, hiring managers may find it challenging to source qualified Data Data Science Engineers effectively.

Seniority distribution of Data Science Engineer job openings in Valbonne

Seniority Distribution of Data Science Engineering Jobs in Valbonne

In Monaco Valbonne, the seniority distribution of Data Data Science Engineering roles indicates a balanced landscape. Currently, both Associate and Mid-Senior level positions comprise 38% of the job market, while Internship roles represent 24%. This distribution highlights significant opportunities for hiring managers to engage with a well-rounded pool of candidates across varying experience levels.

Preferred employment type for Engineering roles in Monaco

In Monaco, the employment type distribution for engineering roles indicates a strong preference for full-time positions, accounting for 92% of the job market. Internships represent 7% of available roles, while contract positions make up 5%. This distribution underscores the opportunities for Data Data Science Engineers in Monaco Valbonne, highlighting the need for tailored recruitment strategies for CTOs and hiring managers.

Time to Hire Distribution for Data in Monaco

How long does it take to hire Data Engineers

The current hiring landscape for Data Science Engineers in Monaco reflects diverse time to hire distributions, crucial for understanding recruitment dynamics in this niche market. The most notable trend is a concentration of candidates hired within 30 to 40 days, with 117 candidates hired in 30 days and 34 in 40 days, highlighting a balanced urgency among hiring managers. Notably, there are fewer candidates hired beyond 80 days, indicating that while the market sustains interest, swift recruitment strategies can advantage those seeking to fill Data Data Science positions sooner. For CTOs and Engineering Managers looking to navigate the Data Data Science job market in Monaco and Valbonne, focusing on efficiencies within this 30 to 40-day window may yield optimal results.

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

The analysis of job openings for Data Data Science Engineers in the Monaco Valbonne area reveals a significant concentration in nearby cities. Nice leads the distribution with 53% of the total job postings, followed by Sophia Antipolis at 26% and Valbonne at 24%. Notably, Monaco itself accounts for 10% of the job market, indicating a diverse landscape for talent acquisition in this sector, as illustrated in the accompanying chart.

Most sought after technologies in Valbonne for Data Science

Key technologies for Data Science Engineers

In the evolving Data Data Science job market, particularly in Monaco and Valbonne, certain technologies are dominating. Python leads the pack with a frequency of 9,223, reflecting its essential role in data analysis and machine learning applications. Following closely are SQL and Java, with frequencies of 3,244 and 3,258 respectively, highlighting their importance in data management and backend development. Machine Learning and AI are also significant, with usage frequencies of 3,554 and 2,140 respectively, indicating a robust demand for skills in these areas. Hiring managers should consider these technologies when evaluating candidates for Data Data Science roles, as depicted in the accompanying chart.

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