Data Science Developer Hiring Trends in Netherlands

This report was last updated on Aug 10, 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 the Netherlands showcases a highly competitive environment with notable fluctuations in job openings, having peaked at 51 new roles in week 20 but declining to just 3 by week 23.
Currently, the talent pool for Data Data Science Engineers in the Netherlands remains constrained, with 93% of job opportunities being full-time roles, emphasizing a significant demand for permanent talent.
The key urban center of Amsterdam dominates the market, hosting 755 job openings, which constitutes 54% of the total opportunities, followed by Utrecht and Rotterdam with 265 and 181 positions respectively.
Top hiring companies include Axelera AI, CIMSOLUTIONS, and Sopra Steria, reflecting the diverse industries seeking skilled Data Science Engineers, with each company representing extensive recruitment efforts.
CTOs and hiring managers should anticipate a median hiring timeframe of 29 days while preparing adaptive recruitment strategies to effectively attract Senior Data Science Developers amid a competitive European landscape.

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

The data shows that the Data Data Science Engineer job market in the Netherlands has experienced fluctuations in recent weeks, with peaks of 51 new jobs posted in week 20, followed by a decline to just 3 in week 23. Meanwhile, the number of closed positions has been significant, peaking at 29 closures in week 25, indicating a highly competitive landscape. Over the entire 12-week period, the hiring landscape appears to have constricted, with weekly job openings not consistently meeting demand compared to other roles in the Netherlands. Furthermore, this trend may suggest a divergence from hiring patterns observed in other European nations, where the appetite for Data Data Science Engineers remains robust.

Who else is hiring for data Engineers in Netherlands:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	10
CIMSOLUTIONS	Netherlands	Information Technology & Services	1992	8
Sopra Steria	France	Information Technology & Services	1968	7
Metyis	Switzerland	Management Consulting	2013	5
Parallel Consulting	United Kingdom	Staffing & Recruiting	2004	4
Sogeti	France	Information Technology & Services	1967	4
Capgemini	France	Management Consulting	1967	4
Centric	Netherlands	Information Technology & Services	1992	4
ilionx	Netherlands	Information Technology & Services	2002	4
Xccelerated \| Part of Xebia	null	null	null	4

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Talent pool vs job openings for Data Engineers in Netherlands

How competitive it is to hire Data Engineers in Netherlands

The Data Data Science Engineers job market trends in the Netherlands indicate a competitive landscape for hiring managers, given the current ratio of job openings to available talent pool. With a significant number of job openings, the Netherlands faces a talent pool that is more constrained compared to neighboring countries such as Germany, France, and Belgium. This dynamic results in a lower jobs-to-talent ratio, suggesting that recruitment strategies for CTOs in the Netherlands will need to adapt to these challenges to attract skilled Data Data Science Engineers. In contrast, while the talent pool in Germany may offer more options, the emerging trends in hiring Senior Data Data Science Developers across Europe suggest a growing demand for these roles, underscoring the need for innovative recruitment approaches. Consequently, hiring Data Data Science Developers in the Netherlands may prove to be a more complex endeavor, necessitating strategic planning and compelling value propositions for potential candidates.

Seniority distribution of Data Science Engineer job openings in Netherlands

Seniority Distribution of Data Science Engineering Jobs in Netherlands

In the Netherlands, the distribution of Data Data Science Engineering roles reveals significant insights for hiring managers in the tech sector. The Mid-Senior level positions constitute approximately 53% of available jobs, followed by Entry level roles at around 26%, and Associate positions making up about 16%. Understanding this seniority distribution is vital for CTOs and recruiters as they strategize their recruitment efforts for Data Data Science Engineer roles in the competitive job market.

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment type distribution for engineering roles reveals a strong preference for full-time positions, which account for 93% of all job opportunities. Contract roles constitute 6% of the market, while part-time positions represent 1%. This data highlights crucial insights for hiring managers in the tech sector, particularly regarding the abundance of full-time Data Science Engineer positions, essential for attracting talent in the competitive data job market.

Time to Hire Distribution for Data in Netherlands

How long does it take to hire Data Engineers

The time to hire distribution for Data Science Engineers in the Netherlands reveals critical insights for hiring managers navigating the competitive landscape of the tech sector. Notably, the most prevalent hiring timeframe is between 25 to 30 days, accounting for 223 and 200 instances, respectively. It is essential for CTOs and engineering managers to consider that a significant volume of candidates is available within a 10 to 30-day window, indicated by counts of 108 and 105 for 10 and 15 days, respectively. Recruitment strategies should focus on this optimal range to attract qualified Data Science Developers efficiently. Furthermore, a decline in hiring beyond 40 days suggests a potential gap in supply versus demand that may impact future hiring decisions and candidate willingness.

Expolore reports from other European Developer talent pools

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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 Netherlands to hire Data Engineers

Top 5 cities in Netherlands to hire Data Engineers

In the Netherlands, the distribution of job openings for Data Science Engineers is heavily concentrated in key urban centers. Amsterdam leads the way with 755 opportunities, making up 54% of the total job postings. Following Amsterdam, Utrecht presents a significant share at 19% with 265 openings, while Rotterdam accounts for 13% with 181 positions. This data underscores the capital's dominance in the Data Data Science job market, which hiring managers should consider when strategizing recruitment efforts.

Most sought after technologies in Netherlands for Data Science

Key technologies for Data Science Engineers

The current landscape of the Data Data Science Engineer job market in the Netherlands is heavily influenced by a variety of technologies. According to the accompanying chart, Python leads the way with a frequency of 6,766, indicating its critical role in data analysis and machine learning. Other notable technologies include SQL, which is essential for database management with a frequency of 2,330, and Java, utilized by 2,196 professionals. Additionally, the incorporation of AI and machine learning is gaining traction, boasting frequencies of 1,962 and 3,188 respectively. As hiring managers and tech leads review data analytics roles, focusing on these core technologies will be crucial for aligning their recruitment strategies with prevailing trends.

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