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Data Science Developer Hiring Trends in Prague, Czechia

This report was last updated on Sep 7, 2025

Bence Gedai / Founder

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, particularly in Prague, is experiencing notable fluctuations, with a peak of 14 new positions recorded recently amidst a competitive hiring landscape.
  • Prague dominates as the hub for Data Data Science roles, accounting for 75% of all job openings, followed by Brno, which holds 26% of the opportunities.
  • Certain top companies are driving demand for talent, including MSD Czech Republic, PwC Czech Republic, and Canonical, reflecting diverse industries seeking Data Data Science Engineers.
  • Hiring Data Data Science Engineers has become increasingly challenging due to a higher jobs-to-talent pool ratio compared to neighboring countries, emphasizing the need for CTOs and hiring managers to develop targeted recruitment strategies.
  • The median time to hire for Data Data Science Engineers in Czechia is currently 34 days, demonstrating a significant urgency for skilled professionals in this field.
Number of roles opened and closed for Data Science Engineers in Prague in the last 3 months

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

The Data Data Science Engineer job market in Czechia, particularly in Prague, experienced notable fluctuations over the past weeks. A peak of 14 new positions was recorded during week 30, while the total number of jobs posted demonstrated a variable growth trend, with new job openings ranging from 1 to 14. However, the closure of 22 roles in week 28 highlights a significant churn in the market, indicating a competitive landscape. Compared to other European countries, the data reflects a higher turnover rate in job openings and closures, emphasizing the need for targeted recruitment strategies for CTOs and hiring managers navigating the Czech tech sector.

Who else is hiring for data Engineers in Czechia:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 13
Deutsche Börse logo Deutsche Börse Germany Financial Services 1992 10
SentinelOne logo SentinelOne United States Computer & Network Security 2013 8
Red Hat logo Red Hat United States Information Technology & Services 1993 8
MSD Czech Republic logo MSD Czech Republic Czechia Pharmaceuticals null 7
PwC Czech Republic logo PwC Czech Republic Czech Republic Business Consulting And Services 1998 6
KBC Global Services logo KBC Global Services null null null 5
Novartis Czech Republic logo Novartis Czech Republic null null null 5
Barclays logo Barclays United Kingdom Financial Services null 4
IDC logo 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 data reveals a nuanced landscape for Data Data Science Engineers job market trends in Czechia, particularly in Prague. With a job opening to talent pool ratio that reflects a challenging hiring environment, Czechia has a higher jobs-to-talent pool ratio compared to neighboring countries such as Austria and Poland. While Austria is seeing significant job growth, the available talent may not meet the surge in demand, creating a competitive hiring atmosphere. In contrast, the Czech talent pool remains constrained relative to the pressing demand for Data Data Science roles, indicating that hiring managers may face difficulties in securing skilled Data Data Science Engineers. This scenario underlines the importance of effective recruitment strategies for CTOs navigating Czechia Prague's tech sector, as well as the need for adaptability in tactical hiring processes amidst the prevailing trends in hiring Senior Data Data Science Developers across Europe.

Seniority distribution of Data Science Engineer job openings in Prague

Seniority Distribution of Data Science Engineering Jobs in Prague

In the Czechia Prague job market for Data Data Science Engineering, the seniority distribution reveals significant insights for hiring managers. Mid-Senior level positions dominate the landscape, accounting for 53% of available jobs, followed by Entry level roles at 29%. Internship opportunities represent 7%, indicating a robust entry pathway into the profession.

Chart about preferred employment type for Engineering roles in Czechia

Preferred employment type for Engineering roles in Czechia

In the Czechia job market, particularly in Prague, the distribution of employment types for engineering roles reveals a significant preference for full-time positions, which account for 94% of the total opportunities. Contract roles make up 5%, while part-time positions constitute 1%. This data highlights the strong demand for Data Data Science Engineers in Czechia, with a clear inclination toward stable, long-term employment arrangements.

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 Engineers in Czechia is characterized by significant variability, with the majority of hires occurring within a 30-day period. Specifically, 202 positions were filled in under 30 days, indicating a strong demand for talent in the market. Notably, 83 candidates were hired within 10 days, reflecting the urgency among companies for skilled Data Data Science professionals. However, hiring processes extending beyond 30 days remain prevalent, with 42 roles taking up to 50 days to fill. As hiring managers assess their recruitment strategies, understanding these time frames is crucial for optimizing their approaches in the competitive job market of Czechia, particularly in Prague.

Most popular cities in Czechia to hire Data Engineers

Top 5 cities in Czechia to hire Data Engineers

The job market for Data Data Science Engineers in Czechia shows a significant concentration in Prague, which accounts for 75% of the total job openings. Brno follows as the second-largest city with 26% of the positions, while Czechia as a whole contributes 7% to the overall job count. This data highlights the prominence of Prague as the central hub for Data Data Science opportunities, as illustrated in the accompanying chart.

Most sought after technologies in Prague for Data Science

Key technologies for Data Science Engineers

In the dynamic landscape of the Data Data Science job market in Czechia Prague, several technologies stand out as essential tools for professionals in the field. According to the provided data, Python leads the way with a significant frequency of usage at 5,169, followed by Machine Learning at 2,883. SQL remains a critical component, utilized 1,822 times, while Data Science itself is highlighted with a frequency of 1,631. Additionally, Java, .NET, and AI technologies are integral, boasting frequencies of 1,337, 1,250, and 1,763 respectively. For further insights into these technologies, please refer to the accompanying chart.

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