Data Science Developer Hiring Trends in Slovakia

This report was last updated on Sep 7, 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 Slovakia has experienced significant fluctuations, with a total of 60 new positions and 109 closures reported in the last 12 weeks, indicating a highly competitive hiring environment for Data Science Engineers.
Bratislava dominates the job landscape, accounting for 72% of openings, followed by Košice with 20%, underscoring the capital's central role in Data Data Science Engineer recruitment.
The majority of available positions are for Mid-Senior level Data Science Engineers, comprising 59% of roles, followed closely by Entry-level opportunities at 35%, highlighting the strong demand for experienced professionals as well as potential entry points for newcomers.
Hiring for Data Data Science Engineer roles presents challenges due to a limited talent pool and a higher jobs-to-talent ratio compared to neighboring countries, necessitating innovative recruitment strategies from CTOs and engineering managers.
The median time to hire for Data Data Science Engineers in Slovakia is approximately 34 days, with 65% of candidates accepting job offers within 40 days, emphasizing the need for efficient recruitment processes to secure top talent in a competitive market.

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

Over the past 12 weeks, the job market for Data Data Science Engineers in Slovakia has seen fluctuating demand, with a total of 60 new positions posted, peaking at 11 openings in week 29. In contrast, job closures have been significant, totaling 109 over the same period, which indicates a challenging recruitment landscape. With over 20 positions closing in weeks 25 and 26 alone, hiring managers must adopt strategic recruitment strategies to attract and retain talent. Compared to other tech roles in Slovakia, the dynamic for Data Data Science positions reflects broader trends seen across Europe's technology landscape, where the competition for skilled professionals continues to intensify.

Who else is hiring for data Engineers in Slovakia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	12
EPAM Systems	United States	Information Technology & Services	1993	7
Solar Turbines	United States	Oil & Energy	1927	6
ESET	Slovakia	Information Technology & Services	1992	6
Capco	United Kingdom	Financial Services	1998	5
GlobalLogic	United States	Information Technology & Services	2000	5
Swiss Re	Switzerland	Insurance	1863	5
Lenovo	United States	Information Technology & Services	1984	4
APM Digital 🦄✨	Slovakia	Information Technology & Services	2016	3
Henkel	Germany	Mechanical Or Industrial Engineering	1876	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 Data Science job market in Slovakia demonstrates a challenging recruitment landscape for hiring managers. With a substantial number of job openings juxtaposed against a limited talent pool, Slovakia presents a higher jobs-to-talent ratio compared to countries like Poland, Hungary, and the Czech Republic. This suggests that while there are opportunities, the competition for skilled Data Data Science Engineers is intense. Consequently, CTOs and recruiters may need to adopt innovative recruitment strategies to attract and retain top talents in this segment. As the demand for Data Data Science Developers continues to grow, hiring trends indicate that investment in talent development will be crucial for companies seeking to thrive in Slovakia's tech sector.

Seniority distribution of Data Science Engineer job openings in Slovakia

Seniority Distribution of Data Science Engineering Jobs in Slovakia

In Slovakia's Data Data Science job market, the seniority distribution reveals that the Mid-Senior level constitutes 59% of available positions, closely followed by Entry-level roles at 35%. Associate positions represent a smaller segment, accounting for 5% of the job offerings. This distribution emphasizes the strong demand for experienced Data Data Science Engineers while also highlighting the opportunities for newcomers to enter the field.

Preferred employment type for Engineering roles in Slovakia

The employment landscape for engineering roles in Slovakia is predominantly characterized by full-time positions, which account for 93% of the available opportunities. In addition, contract roles represent 6%, whereas part-time positions constitute 1% of the job offerings. This distribution underscores the preference for stable, long-term employment among candidates in the Data Data Science Engineers job market in Slovakia.

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 roles in Slovakia reveals significant insights for hiring managers in the tech industry. Notably, the majority of candidates are hired within a period of approximately 30 to 40 days, with 79 positions filled in 30 days and 28 positions in 35 days. This trend indicates a competitive landscape, where around 65% of job offers are accepted within 40 days. For CTOs and engineering managers, this highlights the importance of efficient recruitment strategies tailored to capture top Data Science talent swiftly. As organizations strategize to attract Senior Data Science Developers, it is crucial to understand these hiring trends to streamline the recruitment process effectively.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Slovakia to hire Data Engineers

Top 5 cities in Slovakia to hire Data Engineers

The job market for Data Data Science Engineers in Slovakia is predominantly concentrated in Bratislava, which accounts for 72% of the total job openings. Following Bratislava, Košice represents 20% of the opportunities, while the broader category of remote positions comprises 3% of the market. This data underscores the capital's significance as a hub for Data Data Science roles, as illustrated in the accompanying chart.

Most sought after technologies in Slovakia for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Slovakia, several technologies stand out based on their frequency of usage. Python, with a notable frequency of 5,169, leads as a critical tool for Data Science engineers, emphasizing its importance for data manipulation and analysis. Machine Learning follows closely with a frequency of 2,883, highlighting the growing focus on predictive analytics within this domain. SQL is also prominent, appearing 1,822 times, which underscores its necessity for database management and data retrieval. Additionally, the presence of Data Science itself, reported 1,631 times, reaffirms the centrality of this discipline in the recruitment strategies for CTOs in Slovakia's tech sector. These insights should prove valuable for hiring managers looking to align their recruitment processes with existing market trends. Refer to the attached chart for a detailed visualization of these technologies.

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