Data Science Developer Hiring Trends in Prague, Czechia

This report was last updated on Aug 9, 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, specifically in Prague, is currently experiencing fluctuations, with a total of 46 new roles posted in the last three months, underscoring the need for strategic recruitment efforts by tech leads and CTOs.
Prague remains the dominant hub for Data Data Science Engineer opportunities, accounting for 71% of available positions in Czechia, with 2009 listings compared to secondary cities such as Brno, which has significantly fewer opportunities.
The median time to hire for Data Science Engineer roles is 34 days, indicating a swift-paced hiring environment for 261 positions filled within the commonly established timeframe of 30 days, which highlights the pressing demand for skilled professionals.
The preferred employment type for most Data Engineers in Czechia is full-time, representing 94% of job offerings, emphasizing the need for hiring managers to focus on long-term talent acquisition strategies in an evolving tech landscape.
Competitive dynamics in the Czechia job market show that hiring Data Data Science Engineers poses challenges, necessitating innovative recruitment strategies as the talent pool is limited compared to larger European countries with more robust job markets.

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

In the last 12 weeks, the Data Data Science Engineer job market in Czechia Prague has experienced significant fluctuations. A total of 46 new jobs were posted, with the highest influx occurring in week 20 with 20 openings, while subsequent weeks showed minimal activity, with counts dropping to as low as 1 job in multiple weeks. Concurrently, job closures reached a peak of 22 in week 29, illustrating a concerning net decline in available positions. Compared to other roles in Czechia Prague and several European countries, the volatility of Data Data Science Engineer job postings highlights the need for strategic recruitment efforts from CTOs and team leads to attract qualified talent in this competitive landscape.

Who else is hiring for data Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	10
SentinelOne	United States	Computer & Network Security	2013	9
PwC Czech Republic	Czech Republic	Business Consulting And Services	1998	6
Capco	United Kingdom	Financial Services	1998	4
FNZ	United Kingdom	Financial Services	2003	4
MSD Czech Republic	Czechia	Pharmaceuticals	null	4
NXP Semiconductors	Netherlands	Semiconductors	2006	4
3Pillar	United States	Information Technology & Services	2006	3
Barclays	United Kingdom	Financial Services	null	3
Cato Networks	Israel	Computer & Network Security	2015	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 Engineers job market in Czechia, particularly in Prague, reflects a competitive landscape when evaluated against Europe’s broader technology sector. With job openings numbering significantly in comparison to the available talent pool, Czechia presents challenges for hiring managers seeking Data Data Science Developer opportunities. For instance, while countries like Germany, France, and the Netherlands also showcase vibrant tech job markets, their larger talent pools offer different hiring dynamics. Specifically, Czechia's ratio suggests that securing qualified Data Science Engineers is relatively tougher compared to these nations. As a result, recruitment strategies for CTOs in Czechia’s tech sector should focus on innovative approaches to attract and retain the necessary skill set to meet future demand.

Seniority distribution of Data Science Engineer job openings in Prague

Seniority Distribution of Data Science Engineering Jobs in Prague

In the Data Data Science job market in Czechia Prague, the seniority distribution reveals notable trends. Approximately 54% of positions are classified as Mid-Senior level, followed by Entry level at 27% and Internship roles at 7%. This distribution reflects the evolving landscape of Data Data Science Engineer opportunities, indicating a strong demand for experienced professionals while still welcoming entry-level candidates.

Preferred employment type for Engineering roles in Czechia

In the Czechia job market, specifically within the realm of engineering roles, the majority are offered as full-time positions, accounting for 94% of the total employment types. Contract roles represent 5% of the available opportunities, while part-time positions make up only 2%. This distribution underscores the preference for stable, full-time employment, which is critical for hiring managers focusing on long-term talent acquisition strategies in the evolving tech landscape of Prague.

Time to Hire Distribution for Data in Czechia

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer roles in Czechia showcases significant demand dynamics within the market. Notably, 30 days emerges as the most common timeframe, with 261 positions filled within this period. A substantial number of roles, 94, were filled in 15 days, indicating a swift-paced hiring environment. Hiring managers should be prepared for longer recruitment cycles, as 20 days and beyond see considerable volume, reflecting the complexities of filling specialized Data Science roles. Overall, this data highlights the importance of streamlined recruitment strategies for CTOs and engineering managers aiming to secure top talent in the competitive tech sector of Czechia, particularly in Prague.

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 landscape of Data Data Science Engineer job openings in Czechia, Prague stands out significantly, accounting for 71% of the total opportunities with 2009 positions available. Following Prague, Brno holds a modest 25% share with 696 job openings, while the broader region of Czechia contributes only 6% with 173 positions. This data highlights the dominance of Prague as a key hub for Data Data Science talent, emphasizing the capital's critical role in shaping the job market.

Most sought after technologies in Prague for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Czechia, particularly in Prague, several technologies are prominently featured. Python leads the charge with a frequency of 6,766, underscoring its essential role in data analysis and machine learning. Close behind, SQL is crucial with 2,330 occurrences, reflecting its importance in database management. Machine learning technologies follow, appearing 3,188 times, indicating their rising relevance in developing advanced data solutions. Additionally, AI, with a frequency of 1,962, is driving innovation within the sector. The chart attached provides a visual representation of the frequency of these technologies, highlighting trends in hiring Senior Data Data Science Developers in Czechia Prague.

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