Data Science Developer Hiring Trends in France

This report was last updated on Sep 7, 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 France has recently experienced a significant fluctuation in roles, with a peak of 23 new job openings and a concerning decline to just 4 postings by week 32, indicating a tightening market for Senior Data Data Science Developers.
Python remains the leading programming language in the Data Data Science sector, featured in 5,169 job postings, followed by SQL and Machine Learning, which further showcases the technological demands within the French job market.
Paris dominates the job market for Data Data Science Engineers, accounting for 75% of openings, while Lyon and Lille each contribute 12%, highlighting the importance of geographical awareness in recruitment strategies.
The competitive nature of hiring Data Data Science Engineers in France aligns with challenges faced by CTOs and hiring managers, as current job openings surpass qualified candidates, necessitating strategic recruitment approaches.
The median time to hire for Data Data Science roles is currently 33 days, suggesting a need for efficiency and prompt engagement with top talent to stay competitive in the evolving tech landscape.

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

Over the past 12 weeks, the Data Data Science job market in France has showcased notable fluctuations in job openings and closures. With a peak of 23 new positions in week 26, there has been a general decline to just 4 postings in week 32, highlighting an inconsistency that hiring managers should monitor closely. In contrast, job closures have been more stable, peaking at 26 in week 25 and averaging around 12 throughout this period. For hiring managers seeking Data Data Science Engineer talent, this disparity indicates a tightening market, suggesting recruitment strategies need to be agile to target available candidates effectively. Furthermore, compared to other European countries, these trends underscore the unique challenges and opportunities within France's tech sector for Senior Data Data Science Developers.

Who else is hiring for data Engineers in France:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	15
Thales	France	Information Technology & Services	1893	8
Apside Switzerland	Switzerland	It Services And It Consulting	2015	6
Niji	France	Information Technology & Services	2001	6
Devoteam Data Driven	null	null	null	6
SFEIR	France	Information Technology & Services	1985	5
Talan - France	null	null	null	4
Capgemini	France	Management Consulting	1967	4
GROUPE LR TECHNOLOGIES	France	Information Technology & Services	2014	4
Micropole	France	Information Technology & Services	1987	3

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Talent pool vs job openings for Data Engineers in France

How competitive it is to hire Data Engineers in France

The talent market for Data Data Science Engineers in France presents notable challenges for hiring managers. With a significant number of job openings juxtaposed against the available talent pool, the current ratio indicates an increased difficulty in sourcing qualified candidates. Comparatively, countries such as Germany, Spain, and Italy are experiencing a more favorable talent-to-job ratio, suggesting a more accessible hiring landscape in these regions. As CTOs and recruitment professionals consider the future demand for Data Science Engineers in France, strategic approaches toward recruitment will be crucial to mitigate the competition and expedite the hiring process.

Seniority distribution of Data Science Engineer job openings in France

Seniority Distribution of Data Science Engineering Jobs in France

In the French Data Data Science job market, the seniority distribution reveals that 36% of positions are at the Entry level, followed closely by Mid-Senior level roles at 32%, and 19% of jobs are designated for Associates. This distribution highlights the significant demand for early-career talent while also indicating opportunities for those in the mid-level spectrum.

Preferred employment type for Engineering roles in France

In the French job market for engineering roles, the majority of positions are offered as Full-time, accounting for 93% of the opportunities available, followed by Internship roles at 5% and Contract positions at 5%. This distribution reveals a dominant preference for stable employment in Data Data Science roles, underscoring a significant trend in the hiring landscape for Data Data Science Developers and Engineers in France.

Time to Hire Distribution for Data in France

How long does it take to hire Data Engineers

The time to hire distribution for Data Data Science Engineer roles in France reveals significant insights for hiring managers in the tech sector. Notably, the most prevalent hiring period is between 30 to 35 days, accounting for 266 and 152counts respectively, indicating a robust demand for Data Data Science Professionals. A substantial portion of candidates are hired within a 10 to 25-day window, with 143 and 128 counts respectively, suggesting a competitive recruitment environment. Conversely, the 100-day threshold remains a rarity, with only 3 hires, emphasizing the urgency for organizations to refine their recruitment strategies. This hiring trend underscores the importance of understanding recruitment dynamics in the Data Data Science job market in France, particularly for those seeking to attract top talent amidst evolving market conditions.

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 France to hire Data Engineers

Top 5 cities in France to hire Data Engineers

In France, the distribution of Data Data Science Engineer job openings reveals a significant concentration in Paris, which accounts for 75% of the total opportunities. Following Paris, Lyon and Lille represent 12% and 12% of the job market respectively. This data, as illustrated in the accompanying chart, underscores the pivotal role of the capital in the Data Data Science job market in France.

Most sought after technologies in France for Data Science

Key technologies for Data Science Engineers

In analyzing the current trends within the Data Data Science job market in France, several technologies emerge as pivotal. Python leads the way as the most sought-after programming language, utilized in 5,169 job postings, reflecting its significance in data analysis and machine learning applications. Following closely are SQL and Machine Learning, with 1,822 and 2,883 frequencies, respectively, indicating a solid demand for skills in data manipulation and advanced analytics. Additionally, Java, .NET, and AI round out the top technologies, reinforcing the multifaceted nature of the Data Science landscape. For hiring managers, familiarity with these technologies is crucial in attracting top talent in the competitive job market, as depicted in the accompanying chart.

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