Agency Partners
This report was last updated on Aug 17, 2025
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.
The Data Engineer job market in Russia has shown fluctuating activity over the last 12 weeks, with a total of 12 jobs posted, peaking at 3 new openings in week 24. However, job closures have also been significant, totaling 25 roles closed during this period, resulting in a net loss of 13 positions. In contrast, other technical roles in Russia have maintained a steadier job flow, highlighting the competitive landscape for Data Developer opportunities. The emerging trends indicate that while hiring for Data Engineers remains volatile, the future demand for these professionals could leverage strategic recruitment strategies to attract top talent within Russia's tech sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Magnit | Russia | Retail | 1994 | 1 |
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MTS Group | Russia | Telecommunications | 1993 | 1 |
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Gold Apple | null | null | null | 1 |
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Integrant | null | null | null | 1 |
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Вебмониторэкс | null | null | null | 1 |
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Kaspersky | Switzerland | Computer & Network Security | 1997 | 1 |
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Innopolis University | null | null | null | 1 |
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Artezio | United States | Information Technology & Services | 2000 | 1 |
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Dex | Moldova | Information Technology & Services | 2006 | 1 |
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Arenadata | Russia | Information Technology & Services | 2016 | 1 |
The data job market in Russia showcases a challenging hiring landscape for Data Engineers, particularly when compared to other European countries such as Germany, Poland, and France. With a high number of job openings juxtaposed against a moderate talent pool, Russia's ratio of available talent per job opening indicates it may be difficult to attract and secure qualified candidates. In contrast, countries like Germany present a more favorable talent-to-job ratio, suggesting a more accessible recruitment process. As hiring managers and CTOs strategize their recruitment approaches, understanding the future demand for Data Engineers in Russia and leveraging recruitment strategies tailored to the local tech sector will be critical.
The seniority distribution of Data Engineering jobs in Russia showcases a significant emphasis on mid-level expertise, with 40% of positions classified as Mid-Senior level. Entry-level roles account for 27% of the job market, while Associate ranks represent 4%. This distribution highlights the robust demand for skilled Data Engineers, offering insights for hiring managers regarding the available talent pool and informing recruitment strategies for CTOs within Russia's tech sector.
The employment type distribution for engineering roles in Russia reveals that 87% of positions are offered as full-time, indicating a strong market preference for permanent talent. Following this, contract roles account for 13%, while part-time opportunities represent a mere 3%. This highlights the competitive nature of the data job market in Russia, emphasizing the necessity for effective recruitment strategies for CTOs and hiring managers aiming to attract top talent in data roles.
The data regarding the time to hire for Data jobs in Russia indicates a noticeable trend where a majority of hiring occurs within the 30 to 35 days range, which accounts for 17 hires, followed by 5 hires within the subsequent 35 to 40 days. Hiring managers can anticipate a generally swift recruitment process, with over 60% of candidates being hired within 30 to 40 days. Conversely, there is a steep decline in hiring beyond the 40-day mark, suggesting that recruitment strategies should focus on optimizing processes within this timeframe to secure top talent efficiently. This insight is crucial for CTOs and Engineering Managers aiming to navigate the competitive landscape of the Data job market in Russia.
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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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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The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.
View ReportThe location distribution for Data Engineer job openings in Russia reveals a significant concentration in key cities. Moscow leads with 66% of the job openings, followed by St. Petersburg at 16%, and the broader category of Russia accounting for 13%. This data emphasizes the importance of Moscow as a central hub for Data Engineer opportunities in the country, as illustrated in the accompanying chart.
In the dynamic landscape of the Data job market in Russia, certain technologies stand out as essential tools for Data Engineers and Developers. With a remarkable frequency of 8,339, Python is the most sought-after programming language, illustrating its critical role in data manipulation and analysis. SQL follows closely behind, highlighted by a frequency of 7,824, reinforcing its importance in database management and querying. Additionally, Data Engineering itself commands a substantial presence with a frequency of 3,748, showcasing its foundational role in data architecture. The integration of Machine Learning, cited with a frequency of 3,002, emphasizes the growing demand for advanced analytics and algorithm development. Finally, the prevalence of ETL (Extract, Transform, Load) processes, recorded at 3,112, indicates a strong focus on data integration across various platforms. These insights, visualized in the accompanying chart, provide a clear overview of the technologies that are pivotal in shaping Data Developer opportunities in Russia.
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