Data Science Developer Hiring Trends in Košice, Slovakia

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

1. The Data Data Science Engineers job market trends in Slovakia, specifically in Košice, indicate a competitive landscape with a talent pool of approximately 1,500 professionals available for 150 job openings, resulting in a 10:1 talent-to-job ratio.
2. In the past 12 weeks, the market experienced an average of two new job postings for Data Data Science Engineers weekly, with a peak of four in week 30, while an average of 2.3 positions were closed each week, reflecting a dynamic and competitive hiring environment.
3. The seniority distribution of available roles shows a strong demand for Mid-Senior level Data Data Science Engineers, accounting for 44% of the job market, which informs recruitment strategies for Tech Leads and CTOs.
4. The top three companies actively hiring Data Data Science Engineers in Slovakia include Swiss Re, Canonical, and Capco, emphasizing the variety of industries seeking data expertise in the region.
5. The median time to hire for Data Data Science Engineer positions in Slovakia is approximately 35 days, with a notable number of roles filled within a 30-day window, highlighting the urgency for hiring managers to adopt efficient recruitment strategies.

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

In the last 12 weeks, the data for Data Data Science Engineering roles in Slovakia's Košice region reveals notable trends. During this period, there were fluctuations in job postings, with a peak of four new positions open in week 30, while the overall weekly count averaged around two roles. Conversely, the closure of positions has been more consistent, with an average of 2.3 jobs closed each week, suggesting a competitive hiring landscape. Compared to other roles within Slovakia Košice, the slower growth in job openings for Data Data Science Engineers indicates both a specialized market demand and highlights potential recruitment challenges, making it imperative for hiring managers to adapt their recruitment strategies effectively.

Who else is hiring for data Engineers in Slovakia:

Company name	Country	Industry	Founded	# Job openings
Swiss Re	Switzerland	Insurance	1863	13
Canonical	United Kingdom	Information Technology & Services	2004	12
Capco	United Kingdom	Financial Services	1998	7
ESET	Slovakia	Information Technology & Services	1992	6
EPAM Systems	United States	Information Technology & Services	1993	5
Lenovo	United States	Information Technology & Services	1984	4
Synpulse	Switzerland	Management Consulting	1996	4
Takeda	Japan	Pharmaceuticals	1781	4
GlobalLogic	United States	Information Technology & Services	2000	4
APM Digital 🦄✨	Slovakia	Information Technology & Services	2016	3

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Talent pool vs job openings for Data Engineers in Slovakia

How competitive it is to hire Data Engineers in Slovakia

The data reveals that Slovakia has a competitive landscape for Data Science Engineers, with a substantial talent pool of 1,500 professionals against 150 job openings, resulting in a talent-to-job ratio of 10:1. In comparison, countries like Poland show a talent pool size of 2,000 with 200 job openings (10:1), while Hungary presents 1,200 available talents for 100 job openings (12:1). However, Slovakia's ratio indicates relative ease in hiring compared to other European nations like Germany, which has a talent pool of over 5,000 but 500 job openings (10:1), suggesting that while opportunities exist, the competition intensifies when looking beyond Slovakia. Therefore, hiring managers in Košice should consider targeted recruitment strategies, as the emerging demand for Data Science talent in the region reflects a promising opportunity amidst a growing tech sector.

Seniority distribution of Data Science Engineer job openings in Košice

Seniority Distribution of Data Science Engineering Jobs in Košice

In the Data Data Science job market in Slovakia, particularly in Košice, the seniority distribution reveals a strong demand for Mid-Senior level professionals, comprising 44% of available positions. Entry-level roles follow, accounting for 19% of the job market, while Director-level positions represent 4%. This indicates a clear trend towards hiring experienced Data Data Science Engineers in Košice, shaping recruitment strategies for CTOs navigating the tech sector.

Preferred employment type for Engineering roles in Slovakia

In the Slovakian job market for engineering roles, full-time positions dominate with 93% of available jobs. Contract roles account for 6% of the job openings, while part-time opportunities make up 4%. This distribution highlights the strong emphasis on full-time employment within the tech industry in Slovakia, particularly for Data Data Science Engineers in Košice.

Time to Hire Distribution for Data in Slovakia

How long does it take to hire Data Engineers

The time to hire distribution for Data Science Engineer positions in Slovakia highlights a significant concentration around the 30-day mark, with 125 openings filled within this timeframe. As hiring managers in Slovakia, particularly in Košice, consider their recruitment strategies, it is evident that the demand for skilled Data Science professionals is robust, making recruitment efforts concentrated on this window crucial. Furthermore, approximately 61 roles were filled within 10 days, revealing a swift recruitment phase for competitive candidates. Hiring teams should acknowledge that while the process may extend beyond 70 days for some positions, the overall trends in the Data Science job market indicate a need for proactive engagement to attract top talent. These insights can serve as vital data points for CTOs and Engineering Managers aiming to optimize their hiring strategies in Slovakia's evolving tech sector.

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 Slovakia to hire Data Engineers

Top 5 cities in Slovakia to hire Data Engineers

In the Slovak job market for Data Data Science Engineers, the capital city of Bratislava dominates with 66% of the total job openings. Košice follows as the second largest hub, representing 18% of the available positions. Other cities, including Žilina and remote opportunities, contribute significantly less to the overall landscape, signaling the concentrated demand for Data Science talent in these key locations. Please refer to the accompanying chart for a visual representation of this data.

Most sought after technologies in Košice for Data Science

Key technologies for Data Science Engineers

In examining the Data Data Science job market trends in Slovakia, particularly in Košice, the most commonly used technologies reveal significant insights for hiring managers. Python emerges as the leading technology with a frequency of 5,846, indicating its dominance in Data Data Science roles. Following Python, Machine Learning (3,002) and SQL (2,078) are critical for data handling and analysis. AI also showcases strong relevance (1,795), while Java (1,689) and .NET (1,250) remain significant in various applications. These technologies are detailed in the accompanying chart, providing an overview of the tools shaping the Data Science landscape.

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