Data Science Developer Hiring Trends in Czechia

This report was last updated on Aug 17, 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 Czechia is currently facing significant fluctuations, with a peak of 37 new positions in week 21, followed by a drastic decline to just 1 new job in subsequent weeks, indicating a volatile hiring environment.
The talent pool in Czechia does not align proportionately with the number of job openings, resulting in a competitive landscape for hiring Data Data Science Engineers, necessitating innovative recruitment strategies for CTOs in Czechia's tech sector.
Prague is the dominant city for Data Data Science Engineer opportunities, accounting for 76% of job openings, while Brno follows with 25%, highlighting the centralization of positions in urban areas.
The median time to hire for Data Engineers in Czechia is reported at 34 days, although many organizations manage to fill positions within 30 days, emphasizing the need for efficient recruitment practices.
The employment landscape in Czechia is largely composed of full-time opportunities, which comprise 95% of the job market for Data Data Science Engineers, illustrating a preference for stable employment options.

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

In recent weeks, the job market for Data Data Science Engineers in Czechia has exhibited significant fluctuations. With a peak of 37 new positions posted in week 21, the numbers have drastically declined to a mere 1 new job in subsequent weeks, suggesting a volatile hiring environment. Additionally, the closure of 36 jobs in week 22 highlights the challenges faced, as new job openings rarely matched closed positions in subsequent weeks, leading to a net decrease in opportunities. This trend contrasts sharply with other tech roles in the region, indicating a tightening market for Data Data Science Engineers compared to broader hiring trends across Europe.

Who else is hiring for data Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	9
SentinelOne	United States	Computer & Network Security	2013	6
MSD Czech Republic	Czechia	Pharmaceuticals	null	6
PwC Czech Republic	Czech Republic	Business Consulting And Services	1998	6
Capco	United Kingdom	Financial Services	1998	4
Barclays	United Kingdom	Financial Services	null	4
NXP Semiconductors	Netherlands	Semiconductors	2006	4
Cato Networks	Israel	Computer & Network Security	2015	3
Bending Spoons	Italy	Information Technology & Services	2013	3
Mondelēz International	United States	Food Production	2012	3

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Talent pool vs job openings for Data Engineers in Czechia

How competitive it is to hire Data Engineers in Czechia

The Data Data Science job market in Czechia presents a challenging landscape for hiring managers, particularly when compared to other European countries like Poland, Germany, and Hungary. With a notable number of job openings, the talent pool in Czechia does not proportionately align, resulting in a relatively high jobs-to-talent pool ratio. This indicates that the recruitment of Data Data Science Engineers is becoming increasingly competitive. For CTOs and engineering managers in Czechia's tech sector, this suggests the need for innovative recruitment strategies to attract and secure top talent amidst a tightening market. As the future demand for Data Data Science Engineers in Czechia continues to rise, understanding these dynamics is critical for optimizing hiring practices.

Seniority distribution of Data Science Engineer job openings in Czechia

Seniority Distribution of Data Science Engineering Jobs in Czechia

In the Czechia job market for Data Data Science Engineers, the seniority distribution reveals significant trends. The Mid-Senior level positions account for 47% of job openings, followed closely by Entry level roles at 41%. Internship opportunities make up 5%, indicating a strong emphasis on experienced positions relative to entry-level opportunities.

Preferred employment type for Engineering roles in Czechia

In the Czechia job market, the majority of engineering roles are predominantly full-time positions, comprising 95% of the employment landscape. Contract roles represent a smaller segment at 5%, while part-time positions account for less than 1%. Notably, internships also contribute minimally to the overall distribution, highlighting the preference for stable employment among Data Data Science Engineers in Czechia.

Time to Hire Distribution for Data in Czechia

How long does it take to hire Data Engineers

The time to hire for Data Science positions in Czechia indicates a varied distribution, with significant clustering around certain timeframes. Notably, 249 positions were filled within 30 days, which suggests that many organizations are capable of a relatively swift hiring process. However, there is also a notable count of 87 roles taking between 10 to 15 days, reflecting a more standard timeline for recruitment. The data showcases that while immediate hiring is achievable, hiring managers in the Czech tech sector should brace for a typical hiring cycle of 30 days or longer, especially for specialized roles such as Senior Data Science Developers.

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 Czechia to hire Data Engineers

Top 5 cities in Czechia to hire Data Engineers

In the current job market for Data Data Science Engineers in Czechia, Prague dominates with 76% of the job openings, totaling 2,041 positions. Following Prague is Brno, accounting for 25% with 701 job listings. The remaining cities, including Czechia, Ostrava, and Pilsen, represent a smaller fraction of the market, with Czechia itself reflecting only 7% of the overall opportunities. This distribution underscores the significant concentration of Data Data Science Engineer roles in Prague, as illustrated in the accompanying chart.

Most sought after technologies in Czechia for Data Science

Key technologies for Data Science Engineers

In the rapidly evolving Data Data Science job market in Czechia, a clear hierarchy of technologies has emerged based on usage frequency. Python leads as the most utilized programming language, reflecting its dominance in data analysis and Machine Learning, with a frequency of 5,846. Following Python, SQL plays a vital role in data manipulation and querying, being employed in 2,078 instances. The significance of Machine Learning is underscored by its frequency of 3,002, while Data Science itself accounts for 1,671 occurrences. Other relevant technologies include Java, with 1,689 uses, and JavaScript, used 1,142 times. This data aligns with broader trends in hiring Senior Data Data Science Developers, further emphasizing the importance of these technologies in recruitment strategies for CTOs in Czechia's tech sector. A visual representation of this data is available in the accompanying chart.

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