Data Science Developer Hiring Trends in Israel

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 Israeli job market for Data Data Science Engineers has shown notable fluctuations, with a peak of 32 new positions in week 28 and a low of 4 in week 23 over the last 12 weeks, indicating agile recruitment strategies are essential for hiring managers.
Key technologies driving the demand for Data Data Science Engineers include Python, Machine Learning, and SQL, underscoring the necessity for candidates to possess expertise in advanced analytics and data management.
The seniority distribution indicates that 67% of available Data Data Science Engineering roles are Mid-Senior level, emphasizing the need for tailored recruitment strategies focused on attracting experienced professionals while nurturing entry-level talent.
Tel Aviv accounts for 57% of Data Science Engineer job openings, followed by Tel Aviv-Yafo and Ramat Gan, which collectively represent 88% of the market, highlighting the concentration of opportunities in these key tech hubs.
With a median hiring time of 33 days, hiring managers are advised to maintain urgency in their recruitment efforts, especially given the competitive landscape where the jobs-to-talent pool ratio poses challenges for filling positions effectively.

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

The Israeli job market for Data Data Science Engineer roles has demonstrated fluctuating trends over the past 12 weeks. Notably, a peak of 32 new positions was posted in week 28, while the count dropped to a low of 4 in week 23, indicating variability in hiring demand. In contrast, the numbers of jobs closed also saw significant fluctuations, with a high of 30 positions closed in week 32, suggesting a robust churn in this sector. Compared to other European countries, where Data Data Science roles often yield a more stable weekly posting average, hiring managers in Israel may need to adopt agile recruitment strategies to attract qualified candidates amidst these trends.

Who else is hiring for data Engineers in Israel:

Company name	Country	Industry	Founded	# Job openings
VAST Data	United States	Information Technology & Services	2016	19
IAI - Israel Aerospace Industries	Israel	Defense & Space	1953	17
NVIDIA	United States	Computer Hardware	1993	14
abra	Israel	Information Technology & Services	2020	12
Palo Alto Networks	United States	Computer & Network Security	2005	9
Elbit Systems Israel	United States	Defense & Space	1967	9
Rafael Advanced Defense Systems	Israel	Defense & Space	1948	8
Check Point Software	United States	Computer & Network Security	1993	7
Mobileye	Israel	Automotive	1999	7
Taboola	United States	Information Technology & Services	2007	6

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Talent pool vs job openings for Data Engineers in Israel

How competitive it is to hire Data Engineers in Israel

The Data Data Science Engineers job market trends in Israel reveal a challenging environment for hiring talent. With a significant number of job openings compared to a relatively smaller talent pool, the jobs-to-talent pool ratio suggests that employers may face difficulties in filling these roles. In comparison, countries like Germany and the Netherlands exhibit a more favorable hiring landscape, reflecting higher talent availability per job opening. France also presents a competitive scenario, where the balance between job vacancies and available professionals leans towards providing employers with more options. Therefore, hiring managers in Israel must adopt strategic recruitment strategies to attract the best Data Data Science Engineers amidst rising competition in the European technology landscape.

Seniority distribution of Data Science Engineer job openings in Israel

Seniority Distribution of Data Science Engineering Jobs in Israel

The seniority distribution of Data Data Science Engineering jobs in Israel reveals a significant concentration of positions at the Mid-Senior level, comprising 67% of the total roles available. Entry level positions account for 14%, while Associates represent 9% of the job market. This distribution highlights the need for recruitment strategies tailored to attract and retain skilled Mid-Senior level professionals, as well as considering pathways for nurturing Entry level talent within Israel's tech sector.

Preferred employment type for Engineering roles in Israel

In the Israeli software development job market, the predominant employment type is Full-time, accounting for 99% of the roles with 23,163 positions available. This is followed by Contract positions, which constitute 1% with 345 jobs, and Part-time roles making up a smaller segment at just 1% as well, with 275 opportunities. These figures highlight the robust demand for Full-time Data Data Science Engineers, aligning with the rising trends in the tech industry.

Time to Hire Distribution for Data in Israel

How long does it take to hire Data Engineers

The distribution of time to hire for Data Science positions in Israel reflects significant trends relevant to the tech sector. Notably, 245 placements occurred within a 10-day timeframe, indicating a robust initial response from candidates. Recruitment efforts from 15 to 30 days yielded 368 hires, showcasing a healthy candidate pool within this duration. However, as the time to hire extends beyond 30 days, there is a pronounced decrease, with only 273 candidates hired between 30 to 60 days, suggesting that urgency remains critical for filling Data Science roles. These insights could inform recruitment strategies for CTOs and hiring managers in Israel's competitive tech landscape.

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 Israel to hire Data Engineers

Top 5 cities in Israel to hire Data Engineers

In Israel, the location distribution for Data Science Engineer job openings reveals that Tel Aviv leads the way with 57% of the total opportunities, emphasizing its status as the capital of technology innovation. Following closely is Tel Aviv-Yafo, contributing 23% to the job market, while Ramat Gan accounts for 8%. These top three cities collectively represent 88% of the available positions, underscoring the concentration of demand for Data Science professionals in this vibrant tech landscape.

Most sought after technologies in Israel for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Israel, certain technologies emerge as critical competencies for candidates. Notably, Python leads with a significant usage frequency of 5,846, followed by Machine Learning at 3,002, highlighting the demand for expertise in advanced analytics and predictive modeling. SQL, utilized frequently by 2,078 professionals, underscores the importance of data management skills in current roles. Other prevalent technologies include Java, with a frequency of 1,689, and AI, signify the growing integration of intelligent systems in data-driven processes. For a comprehensive view, please refer to the accompanying chart that visualizes these data points.

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