Data Science Developer Hiring Trends in Russia

This report was last updated on Aug 2, 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 job market in Russia has witnessed a fluctuating trend over the past three months, with 6 new positions introduced, yet concurrently facing the closure of 5 roles, suggesting heightened competition for Data Data Science Engineers.
The talent pool for Data Data Science Engineers in Russia remains constrained, particularly as the current job openings far exceed the number of qualified candidates, presenting strategic challenges for CTOs and tech leads.
Moscow leads as the primary city for hiring Data Engineers, encompassing 66% of total job opportunities, followed by St. Petersburg at 15% and other regions at 13%, indicating a concentrated market in urban centers.
Current hiring trends indicate that Mid-Senior level professionals dominate the market, comprising 61% of roles, highlighting the need for effective recruitment strategies to attract experienced Data Data Science Developers.
The median time to hire for Data Data Science Engineers in Russia is approximately 33 days, with 36% of hires executed within a 10 to 30-day timeframe, emphasizing the urgency and competitiveness in fulfilling these roles.

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

In the past 12 weeks, the Data Data Science Engineer job market in Russia has demonstrated a fluctuating pattern. With a total of 6 new positions posted, peaks were observed in weeks 24 and 25, reflecting a modest demand. In contrast, job closures also reveal significant activity, particularly with 5 roles closed in the most recent week. This indicates a competitive landscape for Data Data Science roles, as hiring managers must navigate a growing number of closed positions alongside limited new openings. Compared to other roles in the tech sector, this trend signals potential recruitment challenges for CTOs and tech leads, necessitating strategic approaches to attract and retain talent in this evolving job market.

Who else is hiring for data Engineers in Russia:

Company name	Country	Industry	Founded	# Job openings
Kinescope	null	null	null	2
Magnit	Russia	Retail	1994	1
Agoda	Singapore	Information Technology & Services	2005	1
MTS Group	Russia	Telecommunications	1993	1
Вебмониторэкс	null	null	null	1
Kaspersky	Switzerland	Computer & Network Security	1997	1
Innopolis University	null	null	null	1
Artezio	United States	Information Technology & Services	2000	1
Dex	Moldova	Information Technology & Services	2006	1
Arenadata	Russia	Information Technology & Services	2016	1

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Talent pool vs job openings for Data Engineers in Russia

How competitive it is to hire Data Engineers in Russia

The data data science job market in Russia exhibits a significant challenge for hiring managers, particularly CTOs and Engineering Managers seeking to fill Data Data Science Engineer roles. With a count of job openings far surpassing the available talent pool, the jobs-to-talent ratio indicates considerable competition for skilled professionals. In comparison, countries like Germany and France showcase a more balanced ratio, providing a slightly less challenging hiring environment, while Poland also reflects a growing number of opportunities with healthier talent availability. Consequently, the future demand for Data Data Science Engineers in Russia is poised to place substantial pressure on recruitment strategies, making it imperative for tech leaders to devise innovative approaches to attract and retain top talent.

Seniority distribution of Data Science Engineer job openings in Russia

Seniority Distribution of Data Science Engineering Jobs in Russia

In the current market for Data Data Science Engineering jobs in Russia, the majority of positions are occupied by Mid-Senior level professionals, accounting for 61% of the available roles. Entry level positions constitute 33% of the market, while Internship roles make up a smaller fraction, representing just 2%. This distribution highlights the significant demand for experienced Data Data Science Engineers, indicating a need for effective recruitment strategies to attract top talent.

Preferred employment type for Engineering roles in Russia

In the Russian software development job market, the predominant employment type is Full-time, accounting for 87% of total positions. Contract roles follow at 13%, representing a significant segment of the workforce. Part-time positions are minimal, comprising just 3% of the employment distribution, highlighting a strong preference for full-time engagements among Data Data Science Engineers.

Time to Hire Distribution for Data in Russia

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineers in Russia shows notable variability, with the most significant cluster occurring around 30 days, accounting for 20 counts. A substantial proportion of hires, approximately 36%, are completed within 10 to 30 days, highlighting a competitive recruitment landscape. However, there remains a portion of the market, around 20% of candidates, taking longer than 40 days to secure employment. For hiring managers and CTOs, understanding this distribution is crucial for developing effective recruitment strategies in the tech sector, especially given the future demand for Data Science Engineers. The insights into these hiring trends can help refine talent acquisition approaches, ultimately leading to a more effective hiring process.

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 Russia to hire Data Engineers

Top 5 cities in Russia to hire Data Engineers

The job market for Data Data Science Engineers in Russia is predominantly centered in Moscow, which accounts for 66% of the total job openings. St. Petersburg follows with a notable 15%, while other regions within Russia contribute 13% to the overall distribution. This concentration in the capital highlights the significance of Moscow as a key hub for Data Data Science opportunities, as depicted in the accompanying chart.

Most sought after technologies in Russia for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Russia, several key technologies emerge as prominent contenders. Python leads the pack with a frequency of usage reaching 6,992, solidifying its position as the preferred programming language among Data Data Science Engineers. Following closely, Machine Learning tools are utilized by 3,204 professionals, underscoring the demand for advanced analytical capabilities. SQL, the cornerstone for managing and querying data, is utilized by 2,351 individuals, while Java provides a robust foundation for building scalable applications, featuring a frequency of 2,296. Additionally, the usage of AI technologies, at 1,934, highlights the integration of intelligent systems in data-driven decision-making processes. For a comprehensive visualization of these trends, please refer to the accompanying chart.

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