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Data Developer Hiring Trends in Hungary

This report was last updated on Aug 17, 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 Engineers job market trends in Hungary are characterized by significant volatility, with a peak of 55 new job postings within a single week, illustrating a robust demand for Data Developer roles.
  • A total of 92 positions closed in one week underscores the competitive landscape for hiring managers, necessitating agile recruitment strategies tailored for CTOs in Hungary's tech sector.
  • Budapest dominates the Data Engineer job market, representing 95% of job openings, making it essential for tech leads and recruiters to focus their efforts in this key location.
  • The median time to hire Data Engineers in Hungary is currently 34 days, indicating that while there are opportunities for swift placements, hiring managers must be prepared for varying recruitment timelines.
  • With a talent pool that is not keeping pace with job opportunities, the hiring environment for Data Engineers in Hungary remains competitive, prompting a need for effective recruitment strategies that align with trends in Data Programmer hiring across Europe.
Number of roles opened and closed for Data Engineers in Hungary in the last 3 months

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

The Data Engineer job market in Hungary has exhibited significant volatility over the past 12 weeks. New job postings peaked at 55 positions in week 24, signaling a robust demand for Data Developer roles. However, this surge is contrasted by a notable number of closed positions, with 92 jobs closed in week 23 alone. The difference between openings and closures indicates a competitive hiring landscape, especially when compared to roles in other sectors. As hiring managers assess recruitment strategies for CTOs in Hungary's tech sector, these trends in Data Engineering highlight the need for agile talent acquisition approaches to navigate the evolving market dynamics.

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 Engineers job market trends in Hungary exhibit a challenging landscape for hiring managers, particularly when contrasted with other European nations. With a limited number of job openings compared to the available talent pool, Hungary demonstrates a jobs-to-talent pool ratio that is significantly lower than countries like Germany, France, and the Netherlands. For instance, while Hungary has a moderate talent pool, the number of job opportunities does not keep pace, indicating a tighter market. This situation necessitates strategic recruitment strategies for CTOs and Engineering Managers aiming to attract top talent in Hungary's tech sector. Consequently, hiring for Data Engineer positions can be competitive, emphasizing the importance of understanding emerging trends in Data Programmer hiring across Europe.

Seniority distribution of Data Engineer job openings in Hungary

Seniority Distribution of Data Engineering Jobs in Hungary

The seniority distribution of Data Engineering jobs in Hungary reveals significant trends that hiring managers should consider. The Mid-Senior level positions dominate the market, comprising 60% of available roles. Entry level jobs account for 25%, while Associate positions make up 10% of the total. Understanding these figures is crucial for effective recruitment strategies in Hungary's tech sector.

Chart about preferred employment type for Engineering roles in Hungary

Preferred employment type for Engineering roles in Hungary

In Hungary's engineering job market, the employment type distribution reveals a clear preference for full-time roles, which constitute 96% of opportunities. Following this, contract positions represent 4%, while part-time roles account for just 3%. This trend underscores the strong demand for stable, long-term employment among data engineering professionals in the region.

Time to Hire Distribution for Data in Hungary

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineers in Hungary reveals crucial insights into the recruitment landscape. A significant 279 roles are filled within a time frame of 30 days, indicating a relatively swift recruitment cycle. However, the demand also reflects longer hiring periods, with 142 positions taking 25 days and notable counts extending to 100 days for 16 roles. This data highlights that while there are opportunities for quick placements, hiring managers should prepare for various timelines, emphasizing strategic planning in recruitment to attract Senior Data Developers effectively in Hungary's evolving tech sector.

Most popular cities in Hungary to hire Data Engineers

Top 5 cities in Hungary to hire Data Engineers

The job market for Data Engineers in Hungary is predominantly concentrated in Budapest, which accounts for 95% of the total job openings. Following Budapest, the city of Debrecen represents 3% of the market, while Szeged contributes 1%. The demand for Data Engineers is markedly higher in the capital, highlighting the significance of central locations for recruitment strategies in Hungary's tech sector.

Most sought after technologies in Hungary for Data

Key technologies for Data Engineers

The data job market in Hungary is significantly driven by several key technologies. Notably, Python emerges as the most utilized technology, with a frequency of 8,339, making it a critical skill for Data Engineers. Following closely is SQL, prominently used with a frequency of 7,824. The demand for Data Engineering itself ranks high with 3,748 occurrences, reflecting a robust focus on foundational data infrastructure. Additionally, Machine Learning and ETL technologies are pivotal, with frequencies of 3,002 and 3,112, respectively, indicating trends in hiring Senior Data Developers who are well-versed in these areas. For a detailed breakdown of these trends, please refer to the accompanying chart.

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