Data Science Developer Hiring Trends in Czechia

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 Czechia is currently revealing notable fluctuations, with a net negative trend in job availability despite a peak of 15 new openings in week 30 over the past 12 weeks.
The talent pool consists of 2,000 professionals against 1,200 job openings, presenting a moderately competitive hiring environment with a jobs-to-talent ratio of 1.67.
Mid-Senior level positions dominate the job landscape, representing 43% of opportunities, followed closely by Entry level roles at 39%, indicating a substantial demand for Senior Data Data Science Developers in Czechia.
Prague is the primary city for Data Science Engineer openings, hosting 75% of available positions, followed by Brno at 26%, highlighting the importance of location in recruitment strategies.
The median time to hire Data Data Science Engineers in Czechia is 34 days, reflecting the need for hiring managers and CTOs to adapt their recruitment strategies to navigate the competitive landscape.

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

Over the last 12 weeks, the Data Data Science Engineer job market in Czechia has demonstrated notable fluctuations. The number of new job postings peaked in week 30 with 15 openings, reflecting a growing demand for skilled Data Data Science Developers. However, during the same period, job closures varied significantly, with a high of 36 positions closed in week 26. This resulted in a net negative trend for job availability in Czechia's Data Data Science sector, contrasting with the hiring landscape for comparable tech roles in other European countries, where hiring rates have remained more stable.

Who else is hiring for data Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	13
Deutsche Börse	Germany	Financial Services	1992	10
SentinelOne	United States	Computer & Network Security	2013	8
Red Hat	United States	Information Technology & Services	1993	8
MSD Czech Republic	Czechia	Pharmaceuticals	null	7
PwC Czech Republic	Czech Republic	Business Consulting And Services	1998	6
KBC Global Services	null	null	null	5
Novartis Czech Republic	null	null	null	5
Barclays	United Kingdom	Financial Services	null	4
IDC	United States	Market Research	1964	4

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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 job market for Data Data Science Engineers in Czechia exhibits a challenging landscape for hiring managers. With a job opening count of 1,200 and a talent pool of 2,000 professionals, the jobs-to-talent ratio stands at 1.67. This indicates a moderately competitive climate, as compared to countries like Poland, which has 3,000 job openings with a talent pool of 4,500 (ratio of 1.5), and Germany, where there are 5,000 openings and a talent pool of 10,000 (ratio of 2). Conversely, in the UK, the hiring ratio is notably lower at 0.8 with 6,000 openings against 4,800 qualified professionals. As such, hiring in Czechia may require strategic recruitment efforts, particularly when competing with nations experiencing a more favorable talent availability.

Seniority distribution of Data Science Engineer job openings in Czechia

Seniority Distribution of Data Science Engineering Jobs in Czechia

The seniority distribution of Data Data Science Engineering jobs in Czechia reveals a significant demand for Mid-Senior level professionals, accounting for 43% of the total positions. Following closely, Entry level roles represent 39% of the market, while Internship opportunities comprise 5%. This clear hierarchy indicates a robust landscape for Data Data Science Developer opportunities, guiding recruitment strategies for CTOs in Czechia's tech sector.

Preferred employment type for Engineering roles in Czechia

In the Czechia tech sector, the employment landscape for engineering roles is predominantly characterized by full-time positions, which comprise 95% of the job market. This is followed by contract roles, accounting for 5%, while part-time and internship opportunities are notably less prevalent, representing 2% and 1% respectively. Understanding this distribution is crucial for hiring managers and CTOs looking to attract talent in the Data Data Science Engineers job market.

Time to Hire Distribution for Data in Czechia

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineer positions in Czechia exhibits a diverse distribution, with the majority of roles taking between 30 to 40 days to fill. Specifically, 202 positions were filled within 30 days, followed by 78 roles within 35 days. A significant number of hires also occurred within longer timeframes, with 42 positions each taking 45 and 50 days to recruit. This distribution suggests a competitive environment for Data Data Science talent, indicating that recruitment strategies for CTOs in Czechia's tech sector need to adapt to these hiring timelines, especially as future demand for Data Science Engineers continues to rise.

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 Czechia to hire Data Engineers

Top 5 cities in Czechia to hire Data Engineers

In Czechia, the distribution of Data Science Engineer job openings reveals a significant concentration in major urban areas, with Prague leading the way at 75% of the total vacancies. Following Prague, Brno accounts for 26% of the job market, while the broader Czechia area represents 7% of opportunities. These insights, illustrated in the accompanying chart, highlight the capital's dominance in the Data Data Science job market and the importance of considering location when formulating recruitment strategies.

Most sought after technologies in Czechia for Data Science

Key technologies for Data Science Engineers

In the Czechia job market, Data Data Science roles are dominated by a set of key technologies critical for success. The leading technology is Python, with a frequency of 5,169, followed by Machine Learning at 2,883, and SQL, which stands at 1,822. Additionally, Data Science frameworks are prevalent, reflected by their total frequency of 1,631. Other notable technologies include Java, .NET, and JavaScript, with frequencies of 1,337, 1,250, and 875, respectively. As hiring managers evaluate candidates, they should consider proficiency in these technologies, as highlighted in the accompanying chart.

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