Data Science Developer Hiring Trends in Amsterdam, Netherlands

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 Engineer job market in Amsterdam has shown a volatile landscape over the past three months, characterized by significant fluctuations in job openings and closures, indicating a need for adaptive recruitment strategies by CTOs and hiring managers.
With 5,846 instances of Python usage, the technology landscape for Data Data Science jobs in Amsterdam is dominated by crucial tools such as Machine Learning and SQL, emphasizing the importance of these technologies in candidate evaluation.
The majority of Data Data Science Engineering roles in Amsterdam are held by Mid-Senior professionals, comprising 66% of the market, underscoring the need for targeted recruitment strategies to attract skilled talent.
Amsterdam remains the premier location for Data Engineers in the Netherlands, accounting for 42% of job openings, with Utrecht and Rotterdam following at 15% and 10%, respectively, highlighting significant opportunities for hiring in the region.
The current median time to hire for Data Engineers in the Netherlands is 31 days, showcasing the competitive nature of the market and the urgency for hiring managers to streamline their recruitment processes to secure top talent efficiently.

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

In the past 12 weeks, the Data Data Science Engineer job market in Amsterdam has exhibited varied trends, with a notable peak of 8 new roles opened in weeks 26 and 27. Despite this, the week-to-week analysis reveals a concerning aspect: while new job openings reached their peak, job closures also intensified, particularly in weeks 28 to 32, where between 1 to 10 positions were closed weekly. Comparatively, this indicates a potentially volatile market, particularly against other regions in Europe, where job openings and closures have remained more stable. As hiring managers and CTOs assess recruitment strategies, understanding these dynamics is crucial for navigating the competitive landscape for Data Data Science Developers in Netherlands Amsterdam.

Who else is hiring for data Engineers in Netherlands:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	10
Sopra Steria	France	Information Technology & Services	1968	7
ilionx	Netherlands	Information Technology & Services	2002	6
Metyis	Switzerland	Management Consulting	2013	5
Sogeti	France	Information Technology & Services	1967	4
Capgemini	France	Management Consulting	1967	4
Centric	Netherlands	Information Technology & Services	1992	4
Harnham	United Kingdom	Staffing & Recruiting	2006	3
Parallel Consulting	United Kingdom	Staffing & Recruiting	2004	3
ANWB	Netherlands	Leisure, Travel & Tourism	1883	3

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Talent pool vs job openings for Data Engineers in Netherlands

How competitive it is to hire Data Engineers in Netherlands

In the European context, particularly in the Netherlands and more specifically Amsterdam, the competition for Data Science Engineers is intensifying. Currently, the Netherlands has a substantial number of job openings compared to its available talent pool, indicating a challenging hiring landscape. When we examine the ratio of job openings to talent pool, the Netherlands shows a tighter market for Data Data Science Engineers than other European nations such as Germany, France, and Spain. This scarcity not only highlights the demand for these professionals but also underscores the need for strategic recruitment efforts tailored for CTOs and hiring managers. Given these dynamics, addressing hiring trends and refining recruitment strategies will be crucial for success in attracting and retaining top Data Science talent in Amsterdam.

Seniority distribution of Data Science Engineer job openings in Amsterdam

Seniority Distribution of Data Science Engineering Jobs in Amsterdam

In the Data Data Science Engineering job market in Amsterdam, the distribution of job seniority levels reveals significant insights for hiring managers. The majority of positions are held by Mid-Senior level professionals, accounting for 66% of the opportunities. Entry level roles constitute 24% of the market, while Associate positions represent 10%. These trends highlight the need for targeted recruitment strategies for CTOs and engineering managers aiming to fill Data Data Science roles in this competitive landscape.

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment landscape for engineering roles is predominantly characterized by full-time positions, which account for approximately 93% of roles available. Contract roles make up around 6% of the job market, while part-time positions constitute nearly 2%. This distribution reflects a strong preference for stable, long-term employment among organizations, which is critical for hiring managers seeking Data Data Science Engineers in competitive markets like Amsterdam.

Time to Hire Distribution for Data in Netherlands

How long does it take to hire Data Engineers

The time to hire distribution for Data roles in the Netherlands shows a prominent concentration of recruitment activity within the 25 to 35 days range, accounting for a substantial 226 and 197 positions respectively. Notably, 113 roles were filled in 10 days, illustrating a competitive market for Data Data Science Engineers. As hiring managers assess the Data Data Science job market in Netherlands Amsterdam, understanding these trends can inform recruitment strategies. With 95 positions filled after 15 days, it's evident that swift hiring processes are crucial in attracting top talent, particularly for Senior Data Data Science Developers.

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 Netherlands to hire Data Engineers

Top 5 cities in Netherlands to hire Data Engineers

In the Netherlands, the location distribution for Data Engineers job openings indicates a strong concentration in Amsterdam, which accounts for 42% of the total openings. Following Amsterdam, Utrecht and Rotterdam represent 15% and 10% of the market, respectively. This data underscores Amsterdam's pivotal role as the leading hub for Data Data Science job opportunities in the country, as illustrated in the accompanying chart.

Most sought after technologies in Amsterdam for Data Science

Key technologies for Data Science Engineers

In analyzing the most commonly used technologies for Data Data Science jobs, it is evident that several tools stand out in the Netherlands, particularly in Amsterdam. The leading technology is Python, utilized in 5,846 instances, underscoring its dominance in data-related roles. Following closely are Machine Learning at 3,002 occurrences and SQL with 2,078 mentions, highlighting their critical roles in data manipulation and analysis. Java, relevant in 1,689 listings, and AI, with 1,795 instances, further illustrate the demand for advanced technological expertise. These trends are visually represented in the accompanying chart, providing a clear perspective on the tech landscape for Data Data Science positions in the region.

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