Data Science Developer Hiring Trends in Estonia

This report was last updated on Aug 9, 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 Estonia reveals a robust talent pool, contributing to a highly competitive environment with approximately 1,155 job openings, indicating significant demand for skilled professionals.
Leading employers in the Estonian market include Bolt, Canonical, and Wise, reflecting the active engagement of these organizations in hiring Data Data Science Engineers to support their technological advancements.
Tallinn stands out as the primary city for Data Data Science job opportunities, accounting for 79% of all job openings, with Tartu following at 16%, thereby guiding hiring managers in targeting their recruitment efforts effectively.
The average time to hire for Data Data Science Engineer roles in Estonia is approximately 35 days, highlighting a relatively efficient recruitment cycle that gives hiring managers the opportunity to streamline their hiring processes.
A notable 53% of the job positions available fall within the Mid-Senior level category, underscoring a strong trend towards hiring experienced Data Data Science Developers, which presents strategic insights for recruitment planning in Estonia's tech sector.

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

In recent weeks, the Data Data Science Engineer job market in Estonia has shown a fluctuating trend, with a peak of 9 new job postings in week 20, followed by a significant drop to just 1 in week 23, and a gradual recovery in subsequent weeks, peaking again at 6 in week 31. Conversely, job closures have been relatively stable, with a total of 9 positions closed in multiple weeks. This presents a concerning gap between openings and closures, highlighting the need for effective recruitment strategies for CTOs in Estonia's tech sector. Compared to other roles within the country, Data Data Science Engineer positions are experiencing a more volatile hiring landscape, which may signal emerging challenges in attracting top talent within this specific field.

Who else is hiring for data Engineers in Estonia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	16
Bolt	Estonia	Information Technology & Services	2013	16
Wise	United Kingdom	Financial Services	2011	7
Axelera AI	Netherlands	Semiconductors	2021	4
Keyrock	Belgium	Financial Services	2017	2
Fractory	United Kingdom	Mining & Metals	2017	2
Luminor Group	Estonia	Banking	2017	2
Remote	United States	Human Resources	2019	2
Ruby Labs	United States	Information Technology & Services	2018	2
Glia	United States	Information Technology & Services	2012	2

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Talent pool vs job openings for Data Engineers in Estonia

How competitive it is to hire Data Engineers in Estonia

The talent market for Data Science Engineers in Germany, the Netherlands, and France reflects a competitive landscape, with a significantly high ratio of available talent to job openings, particularly when compared to countries like Germany, the Netherlands, and France. Estonia's job openings for Data Science positions are outnumbered by a robust talent pool, indicating that hiring in this region may be relatively easier than in other European countries experiencing higher demand. Conversely, Germany shows a tighter ratio, suggesting that CTOs and hiring managers there might face more challenges in recruitment. As such, organizations aiming to fill Data Science roles in Estonia can leverage recruitment strategies tailored to the local tech sector, capitalizing on the favorable hiring conditions. By understanding these trends in hiring Senior Data Data Science Developers, leaders can efficiently navigate the evolving job market and optimize their talent acquisition efforts.

Seniority distribution of Data Science Engineer job openings in Estonia

Seniority Distribution of Data Science Engineering Jobs in Estonia

The seniority distribution within the Data Data Science Engineering job market in Estonia shows a notable emphasis on Mid-Senior level positions, which represent 53% of the total job offerings. This is followed by Entry level roles, accounting for 23%, and Associate positions, making up 3% of the market. The data indicates a robust demand for experienced talent, highlighting trends in hiring Senior Data Data Science Developers in Estonia.

Preferred employment type for Engineering roles in Estonia

In the Estonian software development job market, Full-time positions dominate the landscape, accounting for 93% of the employment types available. Contract roles represent a smaller segment at 7%, while Part-time opportunities make up just 4%. With this distribution, hiring managers and CTOs should prioritize Full-time engagements to meet the growing demand for skilled Data Science Engineers.

Time to Hire Distribution for Data in Estonia

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Estonia reveals notable trends that hiring managers should strategically consider. A significant portion of candidates, approximately 70, are filled within the 30-day mark, highlighting a faster recruitment cycle for Data Data Science Engineers. Meanwhile, 50 positions are filled within 15 days, indicating a strong demand for talent in this sector. However, as hiring stretches beyond 60 days, fewer candidates surface, with only 4 positions filled by 90 days. This data suggests that while the tech sector in Estonia presents promising opportunities, hiring managers must be proactive in their recruitment strategies to attract top Data Data Science Developer talent promptly.

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 Estonia to hire Data Engineers

Top 5 cities in Estonia to hire Data Engineers

In the landscape of Data Data Science Engineers job openings in Estonia, Tallinn emerges as the leading hub, accounting for 79% of the total job opportunities, followed by Tartu at 16%. The remaining locations, including remote positions, make up a modest portion of the market, with Tallinn clearly dominating the scene. For a visual representation of this distribution, please refer to the accompanying chart.

Most sought after technologies in Estonia for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market in Estonia, Python emerges as the most utilized technology, boasting a significant frequency of 6,766 occurrences. Following closely are SQL and Machine Learning, with prominent frequencies of 2,330 and 3,188 respectively. The presence of Java, another critical technology in Data Science, shows a frequency of 2,196, underscoring its importance in the domain. Additionally, AI, with a frequency of 1,962, highlights the growing focus on incorporating advanced technologies into data-driven solutions. For further insights, please refer to the accompanying chart that visualizes these key technologies and their prevalence in the job market.

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