Data Science Developer Hiring Trends in Ramat Gan, Israel

This report was last updated on Jun 29, 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 Engineers job market in Ramat Gan has shown fluctuations with 2 new job openings in week 14, rising to 4 by week 21, yet a total of 11 positions closed resulting in a net decrease of 9 roles.
There are currently 11 Data Data Science Engineer job openings in Ramat Gan, making it essential for hiring managers to implement effective recruitment strategies, particularly given the competitive nature of the talent pool.
Key companies hiring in Ramat Gan include VAST Data, Amazon Web Services (AWS), and Rafael Advanced Defense Systems, which are leading the charge in recruitment for Data Data Science Engineers.
The median time to hire for Data Engineers in Ramat Gan stands at 32 days, affecting recruitment timelines and necessitating strategic approaches for attracting top talent quickly.
The seniority distribution shows a strong demand for Mid-Senior level candidates, comprising 87% of roles, indicating a preference for experienced professionals in the Data Data Science job market in Israel Ramat Gan.

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

In the last 12 weeks, the Data Data Science Engineering job market in Ramat Gan has displayed notable fluctuations. With only 2 new job openings recorded in week 14 and an increase to 4 in week 21, the market demonstrates potential growth. However, the closing of 11 positions during this period signals a mismatch between demand and supply, resulting in a net decrease of 9 available roles. Compared to other European tech hubs, where consistent job openings prevail, Ramat Gan's hiring landscape for Data Data Science Engineers highlights urgent recruitment strategies that CTOs need to consider to attract and retain talent.

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
Amazon Web Services (AWS)	null	null	null	14
Rafael Advanced Defense Systems	Israel	Defense & Space	1948	9
Elad Software Systems	Israel	Information Technology & Services	1982	9
Varonis	United States	Computer & Network Security	2005	9
NVIDIA	United States	Computer Hardware	1993	8
Agoda	Singapore	Information Technology & Services	2005	8
Elbit Systems Israel	United States	Defense & Space	1967	8
Meta	United States	Information Technology & Services	2004	7
Q.ai	Israel	Information Technology & Services	null	7

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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 talent market for Data Data Science Engineers reveals a competitive landscape, particularly in Israel. In comparison to other European countries, such as Germany, the United Kingdom, and France, Israel's job openings have a lower talent pool ratio, indicating potential hiring challenges. For instance, while Germany boasts a sizable talent pool to support its numerous job vacancies, Israel presents a more challenging scenario with a tighter applicant base. The ratio reflects a more demanding recruitment environment, suggesting that CTOs and hiring managers in Israel Ramat Gan will need to deploy innovative recruitment strategies to attract proficient Data Data Science Engineers. This trend aligns with the growing future demand for data professionals vital to maintaining competitive operations in the tech sector.

Seniority distribution of Data Science Engineer job openings in Ramat Gan

Seniority Distribution of Data Science Engineering Jobs in Ramat Gan

In Israel's Ramat Gan, the seniority distribution for Data Data Science Engineering jobs is predominantly concentrated at the Mid-Senior level, representing 87% of the positions. This is followed by Associate level roles, which account for 9%, and Entry level opportunities at 4%. Such a distribution highlights a strong demand for experienced professionals in the Data Data Science job market in Israel Ramat Gan, suggesting that hiring managers should prioritize candidates with a proven track record in data-driven roles.

Preferred employment type for Engineering roles in Israel

In Israel's dynamic engineering landscape, the distribution of employment types showcases a strong preference for Full-time positions, which constitute 98% of available roles. Meanwhile, Contract roles represent a mere 2% of the job market, followed closely by Part-time opportunities at 1%. This data underscores the robust demand for Data Data Science Engineers in Israel Ramat Gan, highlighting the need for targeted recruitment strategies aimed at attracting top talent in an increasingly competitive environment.

Time to Hire Distribution for Data in Israel

How long does it take to hire Data Engineers

In the current landscape of the Data Data Science job market in Israel, particularly in Ramat Gan, the time to hire distribution reflects significant variability. A majority of candidates, 285 individuals, were hired within a 30-day period, indicating a strong availability of talent. However, the trend shows that 81 candidates required about five days, whereas 275 were hired at around 10 days, suggesting a robust interest in quick placements. The recruitment cycle appears to extend significantly after the 30-day mark, with only 9 candidates hired after 105 days. This trend could inform recruitment strategies for CTOs and hiring managers aiming to optimize their hiring processes in this competitive tech sector, especially amidst the emerging trends in Data Data Science Programmer hiring across Europe.

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 Israel to hire Data Engineers

Top 5 cities in Israel to hire Data Engineers

In Israel, the majority of Data Science Engineer job openings are concentrated in Tel Aviv, accounting for 64% of the total job listings. Following closely, Tel Aviv-Yafo represents 25% of the market, while Ramat Gan, with 8% of openings, serves as a notable hub for Data Science job opportunities. This distribution underscores the prominence of the capital, Tel Aviv, in the tech sector, as illustrated in the accompanying chart.

Most sought after technologies in Ramat Gan for Data Science

Key technologies for Data Science Engineers

In the rapidly evolving Data Data Science job market, particularly in Israel Ramat Gan, an array of technologies is dominating the landscape. With Python leading the charge at a frequency of 8,360, it is an essential skill for Data Science Engineers. Following closely are Machine Learning and SQL, with frequencies of 3,462 and 2,872, respectively, indicating their critical role in data manipulation and analysis. Java, often used for enterprise applications, also remains prominent with a frequency of 2,887. Additionally, JavaScript and AI are essential for developing advanced data-driven solutions, showing frequencies of 1,923 and 2,065 respectively. Refer to the accompanying chart for a visual representation of these technologies and their prevalence in the hiring landscape.

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