Data Science Developer Hiring Trends in Espoo, Finland

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 Data Data Science Engineers job market trends in Finland, particularly in Espoo, indicate increasing signs of competitiveness, with job openings significantly outpacing the available talent pool.
During the last three months, Espoo has experienced fluctuations in job postings for Data Data Science Engineers, with a notable peak of 9 new positions and an average weekly closure of 2 roles, signaling a tightening market.
The current distribution of roles shows a significant portion of opportunities at the Internship level (43%) and Mid-Senior level (33%), highlighting a diverse talent pool for hiring managers to engage.
In Finland, Helsinki remains the primary hub for Data Data Science Engineer roles, commanding 63% of all openings, while Espoo contributes to a substantial 17%, making these cities focal points for recruitment strategies.
Hiring Data Data Science Engineers in Finland currently takes an average of 33 days, with most successful hires occurring within the 30-day mark, allowing hiring managers to optimize their recruitment strategies for efficient talent acquisition.

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

In recent weeks, the job market for Data Data Science Engineers in Finland Espoo has demonstrated fluctuating trends. Over the past 12 weeks, job postings peaked in week 24 with 9 new positions, contrasting with a modest average of 2 jobs per week during the earlier weeks. However, the closure of jobs has been notably consistent, with an average of 2 positions closed weekly, culminating in a total of 4 closures in the most recent week. This trend indicates a possible tightening in the market, as the number of jobs closed has often exceeded those opened, making it crucial for hiring managers and CTOs to adapt their recruitment strategies amidst burgeoning demand for Data Data Science Engineers in Finland Espoo. Comparatively, the hiring trends in other European countries could be explored to unveil a broader landscape, uniquely positioning Finland Espoo's tech sector for strategic recruitment initiatives.

Who else is hiring for data Engineers in Finland:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	9
Aalto University	null	null	null	9
Nortal	Estonia	Information Technology & Services	2000	8
Greenstep	Finland	Financial Services	2010	7
Vincit	Poland	Information Technology & Services	2007	6
University of Helsinki	null	null	null	6
Huawei	China	Telecommunications	1987	6
Reaktor	Finland	Information Technology & Services	2000	5
Winthrop Technologies	United States	Construction	1995	4
Mapbox	United States	Information Technology & Services	2011	4

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Talent pool vs job openings for Data Engineers in Finland

How competitive it is to hire Data Engineers in Finland

The Data Data Science Engineers job market trends in Finland, particularly in Espoo, reflect a competitive landscape, with job openings significantly outpacing the available talent pool. For instance, Finland currently presents a high jobs-to-talent ratio compared to countries like Germany and France, indicating a relative scarcity of qualified candidates. In contrast, the job markets in the Netherlands and Sweden show a more balanced ratio, suggesting that hiring Data Data Science Engineers may be somewhat easier in these regions. This disparity highlights the importance of tailored recruitment strategies for CTOs and hiring managers in Finland's tech sector as they navigate the challenges of filling Data Data Science Developer opportunities amidst increasing demand.

Seniority distribution of Data Science Engineer job openings in Espoo

Seniority Distribution of Data Science Engineering Jobs in Espoo

In the current job market for Data Data Science Engineers in Finland Espoo, the seniority distribution reveals significant insights for hiring managers. A notable 43% of available positions are classified as Internship level, indicating a strong pipeline of emerging talent. Additionally, 33% of roles are at the Mid-Senior level, highlighting a healthy demand for experienced professionals. Finally, Entry level positions account for 21% of the market, suggesting a balanced mix of opportunities catering to various experience levels in the tech sector.

Preferred employment type for Engineering roles in Finland

In the Finnish software development job market, the distribution of employment types reveals a strong preference for full-time roles, which constitute 93% of the total available positions. This is followed by contract roles, making up 6%, and part-time positions, at 1%. These figures underscore the stability seen in the Data Data Science Engineers job market trends in Finland, particularly in Espoo, where full-time roles dominate.

Time to Hire Distribution for Data in Finland

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineers in Finland reflects a diverse distribution, essential for hiring managers to consider when strategizing recruitment. Most notably, the highest frequency occurs within the 30-day range, where 203 candidates were hired, indicating a robust pipeline for talent acquisition in this timeframe. A closer examination reveals peaks in hiring activities at intervals of 25 days (91 hires) and 15 days (82 hires), which can inform CTOs and Engineering Managers of optimal recruitment windows. Conversely, longer hiring periods, such as those exceeding 70 days, show decreased hiring counts, suggesting potential market challenges for acquiring Data Data Science talent in Finland. Understanding these hiring trends can empower Tech leads and recruiters to refine their recruitment strategies effectively across Finland's tech sector.

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 Finland to hire Data Engineers

Top 5 cities in Finland to hire Data Engineers

In the landscape of Data Science Engineers job openings in Finland, Helsinki stands out as the predominant hub, accounting for 63% of the total positions. Following Helsinki, Espoo holds a significant share with 17% of the job opportunities, making it a crucial location for talent acquisition in this field. Tampere follows, representing 12% of the job market, which illustrates the concentration of demand in these key cities. Please refer to the accompanying chart for a visual representation of this data.

Most sought after technologies in Espoo for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market in Finland, particularly in Espoo, certain technologies emerge as frontrunners, based on frequency usage data. Python leads the chart with an impressive usage rate, facilitating robust data analysis and machine learning applications. Following closely are SQL and Machine Learning, both critical for data manipulation and predictive modeling. Java ranks high as well, showcasing its relevance in enterprise-level data solutions. This trend is further complemented by AI, which supports the growing emphasis on intelligent data processing. As highlighted in the accompanying chart, these technologies are indispensable for any Data Data Science Engineer navigating the current landscape.

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