Agency Partners

Data Science Developer Hiring Trends in Budapest, Hungary

This report was last updated on Aug 16, 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 Hungary, specifically Budapest, boasts a total of 2,500 job openings with a talent pool of 5,000 candidates, indicating a moderate hiring difficulty with a jobs-to-talent pool ratio of 2.0.
  • Budapest accounts for an overwhelming 96% of all Data Science Engineer positions in Hungary, with 3,371 job listings, underscoring its critical role as the primary recruitment hub for Data Data Science Engineers in the country.
  • The seniority distribution reveals that 56% of available positions are focused on Mid-Senior roles, with 24% at the Entry level, highlighting a strategic necessity for hiring managers to target mid-level talent to meet increasing demand.
  • The current job market has shown fluctuating trends over the past three months, with a notable peak of 18 new positions posted in week 32 and closed roles frequently outpacing openings, warranting adaptive recruitment strategies.
  • With a median time to hire of 34 days, hiring managers in Budapest's tech sector must prioritize efficient recruitment processes to attract and secure top Data Data Science talent in a competitive landscape.
Number of roles opened and closed for Data Science Engineers in Budapest in the last 3 months

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

The Data Data Science Engineer job market in Hungary, specifically Budapest, has shown fluctuating trends over the last 12 weeks. A peak was observed in week 32 with 18 new positions posted, while the lowest point occurred in week 26 with only 2 openings. Notably, the number of jobs closed has often exceeded new postings, illustrating a challenging recruitment environment; for instance, 33 jobs were closed in week 24 against just 13 openings that week. In comparison to similar roles across Europe, where recruitment may be steadier, hiring managers in Budapest must adopt adaptive recruitment strategies to attract qualified candidates amidst these trends.

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 16
Canonical logo Canonical United Kingdom Information Technology & Services 2004 13
Morgan Stanley logo Morgan Stanley United States Financial Services 1935 12
Sanofi logo Sanofi France Pharmaceuticals 1994 11
Deutsche Telekom IT Solutions HU logo Deutsche Telekom IT Solutions HU Hungary Information Technology & Services 2006 7
Exadel logo Exadel United States Information Technology & Services 1998 7
One Identity logo One Identity United States Information Technology & Services 2016 7
MSCI logo MSCI United States Financial Services 1969 7
Mastercard logo Mastercard United States Information Technology & Services 1966 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 Engineers job market trends in Hungary, particularly in Budapest, reveal that there are currently 2,500 job openings, with an available talent pool of 5,000 candidates, resulting in a jobs-to-talent pool ratio of 2.0. Comparatively, countries such as Poland, with 3,000 job openings and a talent pool of 9,000 (ratio 3.0), and Germany, boasting 7,000 openings alongside a talent pool of 15,000 (ratio 2.14), indicate a competitive landscape across Europe. Given Hungary's ratio of 2.0, it suggests a moderate difficulty in hiring Data Data Science Engineers in Budapest when compared to these other European tech hubs. With the recent trends showing an increase in demand for Data Data Science Developers, recruitment strategies for CTOs in Hungary must evolve to attract top talent amid escalating competition.

Seniority distribution of Data Science Engineer job openings in Budapest

Seniority Distribution of Data Science Engineering Jobs in Budapest

In the current job market for Data Data Science Engineering roles in Hungary Budapest, the seniority distribution reveals important insights for hiring managers. Approximately 56% of positions are at the Mid-Senior level, making it the most common seniority status. Following this, Entry level positions account for around 24%, while Associate roles make up about 8% of the available opportunities. This distribution underscores the need for targeted recruitment strategies to attract and retain Senior Data Data Science Developers in Hungary Budapest.

Chart about preferred employment type for Engineering roles in Hungary

Preferred employment type for Engineering roles in Hungary

In Hungary, the employment type distribution for engineering roles reveals a predominant preference for full-time positions, comprising 96% of the market share. Contract roles follow, representing 4% of the total, with part-time opportunities making up a mere 3%. This trend in the Data Data Science Engineers job market in Hungary, particularly in Budapest, indicates a robust demand for stable employment, which hiring managers should consider when formulating their recruitment strategies.

Time to Hire Distribution for Data in Hungary

How long does it take to hire Data Engineers

The time to hire distribution for Data Science positions in Hungary reveals significant insights into the recruitment landscape in Budapest. A majority of candidates, accounting for 280 hires, were engaged within a timeframe of 30 days, indicating a thriving market for Data Data Science Engineers. Moreover, 142 candidates were hired within 25 days, suggesting that swift recruitment strategies are essential for attracting top talent. As hiring managers adjust their recruitment strategies in Hungary Budapest's tech sector, it’s critical to recognize that although there are notable delays beyond 30 days, with 116 at 35 days and 80 at 40 days, the demand remains strong for timely hires. This trend highlights the importance of efficient recruitment processes in the competitive Data Data Science job market in Hungary Budapest.

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 jobs in this sector. The capital city leads with 3,371 job listings, dwarfed only by Debrecen and Szeged, which represent a mere 3% and 1% of the market, respectively. This data underscores Budapest's dominant position in the Data Data Science job market in Hungary, making it a critical focus for recruitment strategies targeting Data Science Engineers.

Most sought after technologies in Budapest for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Hungary, particularly in Budapest, is characterized by a diverse range of technologies, with Python emerging as the most dominant language, recognized for its versatility and extensive libraries supporting data manipulation and analysis. Following closely is SQL, a crucial skill for data management and querying, necessary for any Data Data Science Engineer. The growing emphasis on Machine Learning further accentuates the need for proficiency in AI methodologies, as companies seek to leverage these technologies for predictive analytics. Additionally, Java stands out as a fundamental programming language, while frameworks like React are increasingly relevant for data visualization and presentation layers. These key technologies shape the hiring trends for Data Data Science Developers in Hungary, as illustrated in the accompanying chart.

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