Data Science Developer Hiring Trends in Czechia

This report was last updated on Jul 27, 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 currently features a talent pool of approximately 500 candidates, paired with 50 job openings, leading to a favorable hiring ratio of 10:1, indicative of a balanced yet competitive environment for recruitment.
Prague is the leading city for Data Data Science job opportunities, comprising 70% of all roles with 1,988 positions available, followed by Brno with 25% and 692 opportunities, emphasizing the concentration of tech talent in these urban centers.
In the past three months, job openings fluctuated significantly, peaking at 45 new positions in week 20, with job closures averaging around 20 per week, indicating a tightening market for Data Data Science Engineers in Czechia.
Prominent employers in the Czech tech landscape include PwC Czech Republic, SentinelOne, and Canonical, which collectively underscore the high demand for Data Science Engineers, shaping future recruitment strategies for CTOs in Czechia's tech sector.
The median time to hire for Data Data Science Engineer positions in Czechia is notably efficient at 34 days, reflecting the need for agile recruitment processes by hiring managers aiming to attract top talent in a competitive job market.

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

The Data Data Science Engineer job market in Czechia has experienced notable fluctuations over the past 12 weeks. A peak in job openings occurred in week 20, with 45 new positions posted, contrasting sharply with the minimal 1 job posted in both weeks 22 and 23. In terms of job closures, an upward trend was evident, with 37 jobs closed in week 19 and further consistent closures averaging around 20 per week thereafter. This marks a significant difference compared to other technical roles in Czechia, suggesting a tightening market for Data Data Science roles. Hiring managers and CTOs should consider these trends when crafting recruitment strategies, as they reflect the competitive landscape for Data Data Science Developers in Czechia and across Europe.

Who else is hiring for data Engineers in Czechia:

Company name	Country	Industry	Founded	# Job openings
SentinelOne	United States	Computer & Network Security	2013	13
Canonical	United Kingdom	Information Technology & Services	2004	10
PwC Czech Republic	Czech Republic	Business Consulting And Services	1998	9
Barclays	United Kingdom	Financial Services	null	5
Oracle	United States	Information Technology & Services	1977	5
Capco	United Kingdom	Financial Services	1998	4
FNZ	United Kingdom	Financial Services	2003	4
MSD Czech Republic	Czechia	Pharmaceuticals	null	4
Česká spořitelna	Czechia	Banking	1825	4
Paessler GmbH	Germany	Information Technology & Services	1997	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 is competitive, with a talent pool of 500 available candidates and 50 job openings, resulting in a ratio of 10. This ratio indicates a relatively favorable hiring environment compared to neighboring countries like Slovakia, which shows a talent pool of 200 and 30 openings (6.67 ratio), and Poland with 1,000 candidates and 150 openings (6.67 ratio). In contrast, Germany presents a more challenging landscape with 2,000 candidates and 400 job openings, yielding a ratio of 5, suggesting a tighter talent market. Overall, while there is a good balance in Czechia, the trends indicate that hiring Data Data Science Engineers may become increasingly competitive as demand grows.

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 a significant emphasis on experience and skill. Notably, 42% of the roles are classified as Mid-Senior level, while Entry level positions account for 38% and Associate roles constitute 5%. This distribution underscores the evolving landscape where companies prioritize seasoned professionals in their hiring strategies.

Preferred employment type for Engineering roles in Czechia

In the Czechia's data science job market, the distribution of employment types reveals a strong preference for full-time positions, accounting for 95% of relevant jobs. Contract roles represent 5% of the market, while part-time opportunities make up 2%. With internships at just 1%, this data underscores the emphasis on securing full-time Data Science Engineer positions as companies seek to build robust teams in a competitive landscape.

Time to Hire Distribution for Data in Czechia

How long does it take to hire Data Engineers

In the Czechia job market for Data Data Science Engineers, the time to hire showcases significant variability, with a notable concentration around the 30 to 35-day range. Specifically, 276 positions were filled within 30 days, while 121 fell within the 35-day mark, indicating a tendency for faster recruiting cycles. Conversely, hiring timelines extending beyond 60 days begin to taper off, with 87 positions filled in that timeframe. This distribution highlights the importance for hiring managers, including CTOs and Engineering Managers, to adopt effective recruitment strategies to remain competitive in attracting top Data Science talent in Czechia. Understanding these hiring trends will be paramount in navigating the current landscape of Data Data Science Developer opportunities.

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Most popular cities in Czechia to hire Data Engineers

Top 5 cities in Czechia to hire Data Engineers

In the Czechia job market for Data Data Science Engineers, Prague stands out as the primary hub, accounting for 70% of job openings with 1,988 positions available. Following Prague, Brno represents a significant 25% share with 692 job opportunities, underscoring its role as a vital tech center. Together, these two cities dominate the landscape, with the remaining regions, including Ostrava and Pilsen, collectively contributing only 7% to the overall job availability.

Most sought after technologies in Czechia for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Czechia is characterized by a diverse range of technologies that play a pivotal role in driving data-driven decision-making. With a frequency of 7,115, Python stands out as the most sought-after language, essential for various data science applications including machine learning and data analysis. Surrounding Python, SQL and Java, with frequencies of 2,398 and 2,328 respectively, are critical for database management and data manipulation tasks. Additionally, Machine Learning, highly prioritized in today’s data-centric landscape, has a frequency of 3,259, reflecting its growing importance among hiring managers. These trends in technologies, as illustrated in the accompanying chart, offer valuable insights into the skills that candidates in the Data Data Science field in Czechia are expected to possess.

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