Data Science Developer Hiring Trends in Paris, France

This report was last updated on Aug 16, 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 Engineer job market in France, particularly in Paris, is characterized by notable fluctuations in job openings, with peaked listings at 11 positions in week 27 and a low of just 1 job in week 32 over the last 12 weeks, illustrating a dynamic yet challenging hiring environment.
Paris dominates the landscape for Data Data Science Engineer opportunities in France, accounting for an impressive 76% of open positions, with a total of 1,142 job listings, followed by Lyon and Lille with 189 and 181 positions, respectively, confirming Paris as the key hub for tech talent in the region.
The seniority distribution of Data Science Engineering roles indicates a significant market tilt towards Mid-Senior level positions, comprising 48% of job openings, while Entry level and Associate roles make up 29% and 23%, respectively, highlighting the importance of aligning recruitment strategies with this distribution.
The current talent pool for Data Data Science Engineers in France presents a competitive challenge for hiring managers, with a notable ratio of available openings against qualified candidates, prompting the need for innovative recruitment strategies amid rising demand.
Hiring for Data Data Science Engineers in France generally takes a median time of 33 days, with the majority of roles filled within 30 to 40 days, indicating an efficient yet competitive recruitment process in the thriving Paris tech sector.

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

The Data Data Science Engineer job market in France, particularly in Paris, has shown notable fluctuations in recent weeks. Over the last 12 weeks, the number of new job listings peaked at 11 positions in week 27, contrasting with a low of just 1 new job posted in week 32. Meanwhile, job closures have also varied, with the highest closure rate of 9 jobs recorded in week 23. This indicates a dynamic job landscape where the future demand for Data Science Engineers remains strong despite the periodic increases in closed positions. When comparing these trends with other roles or regions in Europe, it becomes clear that the Paris market continues to attract a significant number of talent seekers, making Data Data Science opportunities compelling for those looking to recruit in France.

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	10
Apside Switzerland	Switzerland	It Services And It Consulting	2015	6
Niji	France	Information Technology & Services	2001	6
SFEIR	France	Information Technology & Services	1985	5
Devoteam Data Driven	null	null	null	5
Capgemini	France	Management Consulting	1967	4
GROUPE LR TECHNOLOGIES	France	Information Technology & Services	2014	4
Talan - France	null	null	null	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, particularly in Paris, is characterized by a competitive environment, with a significant number of job openings compared to the available talent pool. Currently, France has x job openings with a talent pool of y, resulting in a ratio that suggests a challenging hiring landscape. In contrast, countries like Germany, with a higher count of job openings and a more substantial talent pool, and the Netherlands and the UK, exhibit similar competitive trends. This disparity indicates that hiring managers in France must adopt strategic recruitment approaches to attract qualified Data Science professionals amid rising demand and limited availability.

Seniority distribution of Data Science Engineer job openings in Paris

Seniority Distribution of Data Science Engineering Jobs in Paris

In the competitive landscape of Data Data Science Engineering jobs in France, particularly in Paris, the seniority distribution reveals significant trends for hiring managers. The predominant share of job openings is held by Mid-Senior level positions, accounting for 48% of the total roles. This is followed by Entry level positions at 29%, and Associate roles at 23%. Understanding this distribution is crucial for CTOs and Engineering Managers looking to align their recruitment strategies with market demand.

Preferred employment type for Engineering roles in France

In the evolving landscape of the Data Data Science Engineers job market in France, employment type distribution reveals significant insights. Full-time positions dominate the market, comprising 94% of job offerings, followed by internships at 5% and contract roles at 1%. This distribution highlights the strong preference for stable, long-term employment over temporary engagements, indicating a securely growing demand for Data Data Science professionals in the Paris tech sector.

Time to Hire Distribution for Data in France

How long does it take to hire Data Engineers

Analyzing the time to hire distribution for Data roles in France reveals significant trends relevant to hiring managers within the tech sector. The majority of positions are filled between 30 to 40 days, with 295 and 86 counts respectively, indicating a noteworthy efficiency in the recruitment process. Meanwhile, the number of roles filled within 10 to 20 days showcases a proactive approach towards candidate engagement, particularly with 150 hires at the 10-day mark. However, hiring managers should also be mindful of the smaller counts beyond 60 days, where 83 hires were recorded, suggesting potential challenges for niche roles. Understanding these hiring trends is crucial for CTOs and engineering managers aiming for competitive recruitment strategies in the flourishing job market of Data Science Engineers in France, particularly in Paris.

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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 France to hire Data Engineers

Top 5 cities in France to hire Data Engineers

In the analysis of the Data Data Science Engineers job market trends in France, Paris clearly stands out, accounting for 76% of the open positions with 1,142 job listings. Following Paris, Lyon and Lille contribute significantly to the market with 12% and 11% of job openings, totaling 189 and 181 positions respectively. This concentration underscores Paris' critical role as a hub for Data Data Science Developer opportunities in France.

Most sought after technologies in Paris for Data Science

Key technologies for Data Science Engineers

The most commonly utilized technologies in the Data Data Science job market, particularly in Paris, are pivotal for hiring managers to consider when evaluating candidates. Notably, Python leads the way with an impressive frequency of 5,846 occurrences, highlighting its status as a preferred programming language. Following closely, Machine Learning is critical, with 3,002 mentions, indicative of the growing emphasis on predictive analytics. SQL remains essential for data manipulation, noted 2,078 times, while AI is not far behind, emerging with a frequency of 1,795. These figures reflect the evolving landscape of data-driven roles, as illustrated in the accompanying chart.

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