Agency Partners

Data Science Developer Hiring Trends in Amsterdam, Netherlands

This report was last updated on Sep 7, 2025

Bence Gedai / Founder

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 Engineers job market in Amsterdam has shown a dynamic landscape characterized by fluctuating job openings over the past three months, with notable spikes and declines enhancing its competitive nature.
  • Mid-Senior level roles dominate the job market, comprising 62% of available opportunities, signaling a critical focus for hiring managers on targeting this demographic when recruiting Data Science Engineers.
  • Amsterdam is the primary hub for Data Data Science Engineer job opportunities in the Netherlands, accounting for 60% of total openings, followed by Utrecht and Rotterdam, emphasizing the capital's significance in attracting top talent.
  • With a promising talent pool of 2.5 potential candidates per job opening, the hiring landscape in the Netherlands remains relatively favorable compared to other European countries, allowing recruitment teams to pursue a strategic approach in their hiring processes.
  • The median time to hire Data Engineers in the Netherlands is currently at 32 days, suggesting that hiring managers need to plan for extended recruitment cycles, particularly in their pursuit of qualified Data Data Science professionals.
Number of roles opened and closed for Data Science Engineers in Amsterdam in the last 3 months

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

The Data Data Science Engineer job market in Amsterdam has displayed a fluctuating trend over the past 12 weeks. Notably, the highest surge in job openings occurred in weeks 26 and 27, with 8 new positions posted each week. However, in weeks 30 and 34, there was a marked decline, aggregating to only 1 and 2 new jobs respectively. Meanwhile, the number of jobs closed has shown considerable activity, particularly in weeks 25 and 26, where 7 and 10 positions were closed, indicating a competitive hiring landscape. This pattern suggests that recruitment strategies for CTOs in Amsterdam's tech sector must adapt proactively to address the balance between openings and closures, reflecting on broader trends in hiring Senior Data Data Science Developers not just in the Netherlands but also across Europe.

Who else is hiring for data Engineers in Netherlands:

Company name Country Industry Founded # Job openings
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 9
Sopra Steria logo Sopra Steria France Information Technology & Services 1968 7
Xccelerated | Part of Xebia logo Xccelerated | Part of Xebia null null null 6
Sogeti logo Sogeti France Information Technology & Services 1967 5
Info Support logo Info Support Netherlands Information Technology & Services 1986 5
ilionx logo ilionx Netherlands Information Technology & Services 2002 5
CIMSOLUTIONS logo CIMSOLUTIONS Netherlands Information Technology & Services 1992 5
Capgemini logo Capgemini France Management Consulting 1967 5
Centric logo Centric Netherlands Information Technology & Services 1992 4
Morgan Black logo Morgan Black Netherlands Staffing & Recruiting 2017 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 current job market for Data Data Science Engineers in Europe exhibits significant variation across countries, notably in the Netherlands, where a favorable ratio of 2.5 talent pool members per job opening suggests a relatively accessible hiring landscape. In contrast, Germany and France present less favorable conditions, with ratios closer to 1.5, indicating a tighter competition for talent. Additionally, the United Kingdom's ratio of 1.8 implies a similar challenge for hiring managers. These insights into the Data Data Science job market in Netherlands Amsterdam highlight the importance for CTOs and recruiters to adopt agile recruitment strategies to effectively navigate the evolving demand for Data Science Engineers across Europe.

Seniority distribution of Data Science Engineer job openings in Amsterdam

Seniority Distribution of Data Science Engineering Jobs in Amsterdam

In the competitive landscape of the Data Data Science job market in Netherlands Amsterdam, the seniority distribution reveals key insights. Mid-Senior level positions dominate the job openings, accounting for 62% of opportunities. This is followed by Entry level roles, which represent 23% of the market, and Associate positions making up 11%. These trends highlight the urgency for recruitment strategies aimed at attracting Mid-Senior and Entry level Data Data Science Engineers in Amsterdam.

Chart about preferred employment type for Engineering roles in Netherlands

Preferred employment type for Engineering roles in Netherlands

In the Netherlands, the employment landscape for engineering roles is predominantly full-time, accounting for 93% of job opportunities. This is followed by contract positions, which represent 6% of the job market, and part-time roles, comprising 1% of available engineering jobs. For hiring managers and CTOs seeking to understand the employment type distribution, these statistics highlight a clear trend towards full-time employment in the tech sector.

Time to Hire Distribution for Data in Netherlands

How long does it take to hire Data Engineers

The time to hire for Data Science roles in the Netherlands showcases a significant distribution pattern. Notably, the majority of positions, accounting for 213 hires, fall within the 25-day timeframe, indicating a potential bottleneck for hiring managers in the tech sector. Furthermore, hiring times extend beyond the 30-day mark, with 175 hires recorded at 30 days and varying counts decreasing progressively up to 100 days. This suggests that CTOs and engineering managers should anticipate longer recruitment cycles, particularly when seeking qualified Data Science professionals in Amsterdam and the broader Netherlands market. The trend indicates a growing challenge in attracting and securing top Data Data Science Engineering talent, which requires strategic planning and recruitment initiatives.

Most popular cities in Netherlands to hire Data Engineers

Top 5 cities in Netherlands to hire Data Engineers

In the Netherlands, the job market for Data Data Science Engineers is prominently led by Amsterdam, where 60% of the total job openings are situated. Following Amsterdam, Utrecht accounts for 22% of openings, while Rotterdam houses 15%. This significant concentration in the capital city underscores its pivotal role in the Data Data Science job market in the Netherlands, as illustrated in the accompanying chart.

Most sought after technologies in Amsterdam for Data Science

Key technologies for Data Science Engineers

In the dynamic data landscape of the Netherlands, particularly in Amsterdam, several technologies dominate the Data Data Science job market. Python stands out as the most utilized language, with a frequency of 5169, reflecting its indispensable role in data manipulation and analysis. Machine Learning, with a frequency of 2883, highlights the increasing integration of advanced algorithms in data applications. SQL and Data Science follow closely, with frequencies of 1822 and 1631, respectively, indicating strong demand for skills in database management and data analysis. The supplementary chart illustrates these trends in technology usage, further emphasizing the crucial tools that hiring managers should consider when sourcing talent.

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