Agency Partners
This report was last updated on Sep 7, 2025
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.
The Data Engineer job market in Czechia has exhibited notable fluctuations over the past 12 weeks, with a peak of 57 new positions posted in week 32, contrasting sharply with job closures that have remained significant, reaching up to 92 closures in week 26. This discrepancy points to a tightening talent pool, highlighting the challenge faced by hiring managers in sourcing qualified Data Developers. Compared to other roles within the tech sector in Czechia, Data Engineering shows a particularly dynamic trajectory, suggesting enhanced competition and a growing need for strategic recruitment initiatives. As the demand for Data Engineers continues to rise, CTOs and Engineering Managers must adapt their recruitment strategies to effectively capture the emerging talent amidst the changing landscape.
| 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 |
The Data Engineers job market trends in Czechia present a challenging landscape for hiring managers. With a significant number of job openings compared to the available talent pool, the jobs-to-talent ratio indicates a tightening market. For example, while the job market in Germany, France, and the Netherlands shows a healthy balance of openings to talent, Czechia's numbers reveal a notable scarcity. Specifically, this trend reflects that the demand for Data Engineers in Czechia is outpacing the supply, suggesting that recruitment strategies for CTOs in Czechia's tech sector will require innovative approaches to attract and retain top talent. Hiring trends for Senior Data Developers indicate an increasing competition, making it paramount for organizations to consider proactive solutions like upskilling current employees or leveraging remote talent.
The seniority distribution of Data Engineering jobs in Czechia reveals a significant demand for Mid-Senior level professionals, accounting for 55% of the market. Entry level positions follow closely, representing 39%, while Associate roles constitute 8%. This distribution indicates a robust middle-tier job market, suggesting that hiring managers should focus their recruitment strategies on attracting skilled Mid-Senior level Data Engineers.
In the Czechia job market, the data engineers' employment landscape is predominantly characterized by full-time positions, which account for 95% of the available roles. Contract positions make up 5%, while part-time opportunities represent a minimal 2%. This distribution underscores the necessity for tech leads and engineering managers to prioritize full-time roles when developing recruitment strategies for the growing demand for data engineers in Czechia's tech sector.
The time to hire for Data jobs in Czechia exhibits notable variability, providing strategic insights for hiring managers. A significant portion of candidates, accounting for 202 instances, takes approximately 30 days to secure a role. Additionally, 83 candidates are hired within 10 days, followed by 75 within 15 days, indicating a relatively swift recruitment rate at initial stages. However, as the hiring timeline extends beyond 30 days, there is a noticeable decline in counts, with only 9 candidates hired at 90 and 100 days. This distribution underscores the importance of effective recruitment strategies for CTOs in Czechia's tech sector, particularly when aiming to streamline the hiring process for Data Engineers.
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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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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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.
View ReportIn the Czechia data job market, Prague stands out as the primary hub for Data Engineer job opportunities, accounting for 75% of openings with 2,156 positions listed. Brno follows as the second-largest city with 26% of the total, offering 728 roles. Meanwhile, the overall job market in Czechia reflects a diverse distribution, with minimal contributions from Ostrava and Pilsen, which account for only 3% and less than 1%, respectively. Refer to the attached chart for a visual representation of these distribution trends.
In evaluating the Data Engineers job market trends in Czechia, several technologies emerge as pivotal in shaping recruitment strategies for CTOs and hiring managers. Dominating the landscape, SQL ranks highest with a usage frequency of 7444, showcasing its essential role in data management. Python follows closely with a frequency of 7785, underscoring its versatility in data manipulation and analysis. ETL processes, vital for data integration, have a frequency of 2981, while Machine Learning, crucial for predictive analytics, reaches 2883. This chart illustrates these trends in hiring Senior Data Developers, highlighting the technological competencies that prospective candidates are expected to possess.
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