Agency Partners
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In the last 12 weeks, the Data Science Engineer job market in the Netherlands has shown a fluctuating trend, with peaks reaching 40 new job postings in week 8 and a total of 11 new jobs last week. When compared to other tech roles in the Netherlands, the growth is moderate, especially in weeks where job closures surged, with up to 39 positions closed in week 11. This indicates a competitive landscape, suggesting that while there is ongoing demand for Data Science Engineer positions, recruitment strategies may need to adapt to ensure the retention of top talent. Notably, across Europe, the overall job postings for Data Science roles have remained significantly higher, emphasizing the need for hiring managers in the Netherlands to consider innovative approaches in their recruitment strategies for CTOs and team leads in order to attract capable Data Science Developers.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
CIMSOLUTIONS | Netherlands | It Services And It Consulting | 1992 | 4 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 4 |
|
Tencent | China | Information Technology & Services | 1998 | 4 |
|
Oakwell Hampton Group | United Kingdom | Staffing And Recruiting | 2016 | 2 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 2 |
|
|
Zeno | null | null | null | 2 |
|
|
Nationale-Nederlanden | null | null | null | 2 |
|
|
Capgemini | France | Management Consulting | 1967 | 2 |
|
Catawiki | Netherlands | Internet Marketplace Platforms | 2008 | 2 |
|
|
Syngenta | Switzerland | Farming | 2000 | 2 |
The talent market for Data Science Engineers in Europe reveals a diverse landscape, with a notable disparity between job openings and the available talent pool. In the Netherlands, the high number of job openings shows an emerging demand for Data Science roles. Comparatively, countries like Germany, France, and the United Kingdom also exhibit substantial job opportunities; however, the talent pool ratios indicate a tighter market in the Netherlands, suggesting that hiring Data Science Engineers may pose a challenge for hiring managers in the region. With recruitment strategies tailored for CTOs in the Netherlands's tech sector becoming increasingly critical, it’s vital to analyze these trends carefully to navigate the competitive hiring landscape effectively.
The current seniority distribution of Data Science Engineering jobs in the Netherlands reveals that 61% of positions are classified as Mid-Senior level, making it the most sought-after experience tier. This is followed by Entry level roles at 25%, and Associate positions at 19%. Understanding these percentages is crucial for hiring managers as they navigate the recruitment landscape for Data Science Engineers in a competitive market.
The employment landscape for engineering roles in the Netherlands reflects a strong preference for full-time positions, which constitute 91% of the job market. In contrast, contract roles account for 8% of opportunities, while internships make up 3%. This distribution underscores the significance of stable, long-term employment in attracting Data Science Engineers amidst evolving workforce dynamics.
The distribution of time to hire for Data Science jobs in the Netherlands reveals crucial insights for hiring managers in the tech sector. A significant portion of candidates, approximately 67, are hired within a 25 to 30-day timeframe, indicating a competitive job market for Data Science Engineers. Additionally, with 38 hires occurring around the 15-day mark, swift recruitment strategies may be vital for CTOs looking to secure top talent. Notably, the time to hire extends significantly, with 11 candidates each taking between 55 to 65 days, suggesting potential challenges in attracting specialized Data Science Developers. As demand for Data Science Engineers continues to grow, understanding these hiring trends is essential for effective recruitment in the Netherlands' tech landscape.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn the Netherlands, the distribution of Data Science Engineer job openings reveals a strong concentration in major cities. Amsterdam leads with the highest share at 58%, followed by Utrecht at 19%, and Eindhoven with 12%. These figures highlight Amsterdam's status as a prominent hub for Data Science opportunities, as illustrated in the accompanying chart.
In the competitive Data Science job market in the Netherlands, certain technologies emerge as critical for prospective candidates. As depicted in the accompanying chart, Python leads with a frequency of 13,712, underscoring its dominance in Data Science applications. Following closely is SQL, used in 4,796 instances, highlighting its importance for data manipulation and querying. Moreover, Machine Learning, with 4,835 mentions, signifies a strong trend towards algorithmic solutions in data analysis. Additional relevant technologies include Java, appearing 4,901 times, and AI, at 2,779 mentions, revealing the spectrum of skills that hiring managers should prioritize when seeking skilled Data Science Engineers.
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