Data Science Developer Hiring Trends in Bratislava, 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 Engineer job market in Slovakia, particularly in Bratislava, is characterized by notable fluctuations, with 34 new positions posted in the past three months and a significant turnover of 62 job closures.
Bratislava continues to emerge as the predominant hub for Data Data Science professionals in Slovakia, accounting for 72% of job openings with a total of 1,191 positions available, making it the top city for hiring Data Engineers.
Mid-Senior level Data Science Engineers represent the largest segment of job openings at 57%, indicating a strong demand for experienced talent that hiring managers, such as CTOs and Engineering Managers, must prioritize in their recruitment strategies.
With a competitive ratio of approximately 2.5 candidates per job opening, hiring Data Data Science Engineers in Slovakia poses challenges, underscoring the need for strategic recruitment efforts to attract top-tier candidates.
The median time to hire for Data Engineers in Slovakia stands at 34 days, highlighting the importance of implementing swift recruitment practices to secure candidates in the fast-moving tech landscape.

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

Over the past 12 weeks, the Data Data Science Engineer job market in Slovakia Bratislava has shown fluctuating activity, with a total of 34 new positions posted. Notably, week 29 saw the highest demand with 7 jobs opened, contrasting with week 30's low of just 1. Despite the encouraging influx of new listings, job closures have remained significant, with a total of 62 positions closed during the same period. This indicates a competitive environment for hiring managers, who may need to adapt recruitment strategies to counterbalance the higher turnover rate in Data Data Science roles compared to other tech positions in the region.

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 Engineer job market in Slovakia, specifically in Bratislava, displays a competitive landscape with a ratio of approximately 2.5 available candidates per job opening. In comparison, countries like Poland and Hungary show similar dynamics, with ratios of around 3.0 and 2.8 respectively, while the Czech Republic presents a slightly more favorable scenario with a ratio of 4.0. This indicates a tighter talent pool in Slovakia, making it somewhat challenging for hiring managers, including CTOs and Engineering Managers, to find qualified Data Science Engineers. The current demand for Data Data Science roles indicates that recruiting strategies will need to focus on attractive employment offerings to secure top talent in this market.

Seniority distribution of Data Science Engineer job openings in Bratislava

Seniority Distribution of Data Science Engineering Jobs in Bratislava

In the competitive landscape of the Data Data Science job market in Slovakia Bratislava, the distribution of seniority levels reveals crucial insights for hiring managers. Mid-Senior level professionals account for 57% of job openings, followed by Entry level positions at 34%. Associate roles represent a smaller segment, comprising 4% of the market. This distribution indicates a robust demand for experienced Data Data Science Engineers, which is essential for CTOs and Engineering Managers to consider when developing recruitment strategies in the region.

Preferred employment type for Engineering roles in Slovakia

In Slovakia, the employment landscape for engineering roles exhibits a clear preference for full-time positions, which constitute 93% of the job market with 7,194 opportunities. Contract roles follow, making up 4% with 506 listings, while part-time jobs account for 4% as well, totaling 300 positions. This distribution highlights the strong inclination towards stable, long-term employment as hiring managers in Slovakia and Bratislava seek to attract skilled Data Science Engineers.

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 roles in Slovakia reveals critical insights for hiring managers in Bratislava. A significant percentage of candidates are secured within 30 days, with 79 positions filled in this timeframe. However, longer hiring cycles are also evident, with 35 candidates taking up to 15 days and 24 up to 20 days. Overall, this distribution indicates a competitive landscape, where swift recruitment strategies are essential to attract top talent in the rapidly evolving tech sector of Slovakia.

Expolore reports from other European Developer talent pools

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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

In Slovakia, the distribution of Data Data Science Engineer job openings reveals that Bratislava dominates the landscape with 1191 positions, accounting for 72% of the total jobs. Košice follows with 20% of the available roles, reflected in 342 openings, while the combined offerings in Žilina and remote opportunities contribute a mere 7% to the job market. This data emphasizes the significance of Bratislava as the primary hub for Data Data Science professionals in Slovakia.

Most sought after technologies in Bratislava for Data Science

Key technologies for Data Science Engineers

In the dynamic landscape of the Data Data Science job market in Slovakia, particularly in Bratislava, several technologies are prominently utilized by aspiring Data Science Engineers. Python leads the way with a significant frequency of 5,169, reflecting its critical role in data manipulation and analysis. Closely following are Machine Learning and SQL, with frequencies of 2,883 and 1,822 respectively, highlighting the importance of predictive analytics and database management in today's projects. The prevalence of Data Science itself, with a frequency of 1,631, signifies a robust demand for specialists in this field. Other notable mentions include Java, .NET, and Automation, which further emphasize the diversity and technical depth required in this thriving sector. For a more comprehensive overview, please refer to the accompanying chart showcasing the usage frequencies of these technologies.

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