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Data Science Developer Hiring Trends in Hungary

This report was last updated on Aug 31, 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 Hungarian Data Data Science Engineers job market is experiencing significant volatility, with a total of 3,469 job openings primarily concentrated in Budapest, accounting for 96% of available positions.
  • Notably, leading companies hiring Data Data Science Engineers include EPAM Systems, Canonical, and Deutsche Telekom IT Solutions HU, reflecting a diverse range of industries actively seeking this talent.
  • Currently, 64% of positions are at the Mid-Senior level, indicating a strong demand for experienced professionals, while only 32% of roles are entry-level, highlighting the competitive nature of the recruitment landscape.
  • The median time to hire for Data Engineers in Hungary stands at 34 days, emphasizing the need for swift recruitment strategies to effectively secure top candidates in this competitive market.
  • Given the disparity between the size of the talent pool and the number of job openings, hiring managers should implement targeted recruitment strategies to navigate the challenges present in Hungary's technology sector.
Number of roles opened and closed for Data Science Engineers in Hungary in the last 3 months

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

The hiring landscape for Data Data Science Engineers in Hungary has shown notable volatility over the past 12 weeks. Analyzing the weekly job postings, there was a significant spike in week 32 with 27 new roles emerging, indicating heightened demand in the tech sector. However, the corresponding number of closed jobs reflects a consistent trend, with 39 positions closed in week 25 alone, suggesting a competitive recruitment environment. In comparison to other European countries, Hungary displays a mixed performance in job availability for Data Data Science Developers, necessitating robust recruitment strategies for CTOs and hiring managers to attract and retain talent effectively.

Who else is hiring for data Engineers in Hungary:

Company name Country Industry Founded # Job openings
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 27
Canonical logo Canonical United Kingdom Information Technology & Services 2004 16
Deutsche Telekom IT Solutions HU logo Deutsche Telekom IT Solutions HU Hungary Information Technology & Services 2006 13
wherewework Magyarország logo wherewework Magyarország Hungary Human Resources null 11
Morgan Stanley logo Morgan Stanley United States Financial Services 1935 11
Exadel logo Exadel United States Information Technology & Services 1998 10
Sanofi logo Sanofi France Pharmaceuticals 1994 10
JLR logo JLR United Kingdom Automotive 1922 7
SAP logo SAP Germany Information Technology & Services 1972 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6

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Talent pool vs job openings for Data Engineers in Hungary

How competitive it is to hire Data Engineers in Hungary

The Data Data Science Engineer job market in Hungary reveals a significant challenge for hiring managers, given the current demand relative to the available talent pool. With a considerable number of job openings and a limited size of skilled professionals, Hungary's ratio of talent pool to job openings indicates heightened competition for qualified candidates. In comparison, countries like Poland, Germany, and the Netherlands are fostering a more favorable hiring environment, showcasing larger talent pools relative to their job openings. This disparity suggests that recruiting Data Data Science Engineers in Hungary may require more strategic approaches, particularly for CTOs and engineering managers aiming to secure top talent in a competitive landscape.

Seniority distribution of Data Science Engineer job openings in Hungary

Seniority Distribution of Data Science Engineering Jobs in Hungary

In Hungary's Data Data Science job market, the seniority distribution reveals key insights for hiring managers. Notably, 64% of available positions are at the Mid-Senior level, while Entry level roles account for 32%. Additionally, 10% of jobs are classified as Associate, highlighting the diverse talent pool and recruitment considerations across different experience levels.

Chart about preferred employment type for Engineering roles in Hungary

Preferred employment type for Engineering roles in Hungary

In Hungary's software development job market, the employment type distribution reflects a strong preference for Full-time roles, which make up 96% of the total positions available. Contract roles account for 4%, while Part-time positions represent a minimal 3%. This distribution underscores the dominant trend of permanent employment opportunities for Data Data Science Engineers, indicating a significant demand for stable, long-term commitments in the tech sector.

Time to Hire Distribution for Data in Hungary

How long does it take to hire Data Engineers

The time to hire for Data jobs in Hungary reveals significant trends that hiring managers should consider. A notable concentration of candidates, 248, aligns with a hiring timeline of 30 days, suggesting this period as optimal for employers. Furthermore, there is a distinct tapering off in applicant availability beyond this threshold, with counts decreasing sharply at 35 days to 105 and again at 40 days to 76. This distribution indicates that recruitment strategies focusing on a 30-day hiring window may yield more favorable outcomes in attracting Data Science Engineers. Understanding the time to hire distribution is crucial for CTOs and Engineering Managers aiming to optimize their talent acquisition in Hungary's evolving tech landscape.

Most popular cities in Hungary to hire Data Engineers

Top 5 cities in Hungary to hire Data Engineers

In Hungary, the distribution of Data Engineers job openings reveals a significant concentration in Budapest, which accounts for 96% of the total listings with 3,469 positions available. Following this, Debrecen represents 3% of the market with 103 job postings, while Szeged and remote opportunities contribute marginally, each at 1% with 51 and 46 positions, respectively. This data underscores the capital's dominance as the primary hub for Data Data Science Engineer opportunities in the region, as illustrated in the accompanying chart.

Most sought after technologies in Hungary for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Hungary, several technologies have emerged as predominant tools among professionals. Python leads the way with a remarkable frequency of 5,180, underscoring its significance in data manipulation and analysis. Following closely are Machine Learning and SQL, with frequencies of 2,864 and 1,828 respectively, highlighting the strong focus on advanced analytics and database management. Other notable technologies include Data Science itself, utilized 1,612 times, and Java, which appears 1,353 times in the market. These insights are visualized in the accompanying chart, providing a deeper understanding of the tools shaping recruitment strategies for CTOs and hiring managers in Hungary's tech sector.

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