Data Engineer Developer Hiring Trends in Hungary

This report was last updated on Aug 17, 2025

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 Engineer job market in Hungary has displayed significant fluctuations over the past 12 weeks, with a peak of 23 new roles posted compared to a closure of 11 jobs, indicating strong demand and positioning Hungary as a favorable environment for Data Engineer roles.
Budapest remains the focal point for Data Engineer opportunities, accounting for 93% of job openings, with a total of 3,371 positions available in the capital, underscoring its critical role in the country's tech landscape.
The seniority distribution shows that Mid-Senior level positions dominate, representing 55% of the Data Engineer job market, which highlights a substantial demand for experienced candidates, guiding hiring managers in crafting tailored recruitment strategies.
The competitive landscape signals challenges for hiring Data Engineers in Hungary due to a limited talent pool against rising demand, indicating that recruitment strategies for CTOs need to adapt to attract qualified professionals.
The average time to hire for Data Engineers is 34 days, with a significant number of candidates available to hire within 30 days, emphasizing the necessity for hiring managers to streamline their recruitment processes to secure top talent swiftly.

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

In Hungary, the Data Engineer job market has demonstrated notable fluctuations over the past 12 weeks. The number of new Data Engineer roles posted peaked at 23 in week 29, significantly outpacing the closure of jobs, which reached a high of 11 in the same week. This discrepancy illustrates a robust market demand, particularly when juxtaposed with other technical roles in Hungary, where the job openings have not seen such pronounced spikes. When compared to trends in other European nations, Hungary appears to be emerging as a favorable environment for Data Engineer roles, with recruitment strategies focusing on the urgent need for talent in this specialized area.

Who else is hiring for data Engineers in Hungary:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	16
Canonical	United Kingdom	Information Technology & Services	2004	13
Morgan Stanley	United States	Financial Services	1935	12
Sanofi	France	Pharmaceuticals	1994	11
Deutsche Telekom IT Solutions HU	Hungary	Information Technology & Services	2006	7
Exadel	United States	Information Technology & Services	1998	7
One Identity	United States	Information Technology & Services	2016	7
MSCI	United States	Financial Services	1969	7
Mastercard	United States	Information Technology & Services	1966	6
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 Engineer job market in Hungary reveals a competitive landscape, particularly when compared to several key European countries. With a notable number of job openings juxtaposed against a relatively small talent pool, the ratio indicates a tightening hiring environment in Hungary. For instance, countries like Germany and the Netherlands show a higher talent availability, facilitating recruitment efforts. Conversely, in Hungary, the limited pool suggests that hiring managers may face challenges when seeking qualified Data Engineers. As demand escalates, recruitment strategies for CTOs in Hungary's tech sector will need to adapt to bridge this gap.

Seniority distribution of Data Engineer Engineer job openings in Hungary

Seniority Distribution of Data Engineer Engineering Jobs in Hungary

The seniority distribution of Data Engineer jobs in Hungary reveals a prominent presence of Mid-Senior level positions, accounting for 55% of the market. Entry level roles represent 21%, while Associate positions hold 13%. This distribution highlights the significant demand for experienced Data Engineers, offering insights for hiring managers in crafting effective recruitment strategies.

Preferred employment type for Engineering roles in Hungary

In Hungary's engineering job market, a substantial 94% of positions are classified as full-time, demonstrating a strong preference for stable employment. Contract roles account for 4% of the openings, while part-time opportunities represent 3%. This distribution highlights the dominance of full-time roles in the Data Data Engineer job market in Hungary, providing insights for hiring managers and CTOs strategizing recruitment efforts.

Time to Hire Distribution for Data in Hungary

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineer roles in Hungary reveals key insights into the recruitment landscape. A significant portion of candidates, 279, experience a time to hire of 30 days, indicating a critical juncture for hiring managers to optimize their recruitment processes. Additionally, 142 candidates are hired within 25 days, followed by 123 within 10 days, suggesting a strong pipeline of talent available early in the process. However, as the time to hire extends beyond 30 days, a noticeable drop in candidate availability is evident, with only 19 candidates being hired after 70 days. This underscores the importance of adopting efficient recruitment strategies for CTOs and engineering managers aiming to secure top Data Engineer talent in Hungary's competitive tech sector.

Expolore reports from other European Developer talent pools

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The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Hungary to hire Data Engineers

Top 5 cities in Hungary to hire Data Engineers

In Hungary, the Data Engineer job market is predominantly centered in Budapest, which accounts for 93% of the total job openings, with 3,371 positions available. Following the capital, Debrecen and Szeged show fewer opportunities, with 3% and 1% of the market share, respectively. This concentration in Budapest highlights the city's critical role in the Data Engineer job market in Hungary, as illustrated in the accompanying chart.

Most sought after technologies in Hungary for Data Engineer

Key technologies for Data Engineer Engineers

In the burgeoning Data Data Engineer job market in Hungary, several technologies stand out as essential tools for prospective candidates. As depicted in the accompanying chart, SQL and Python lead the pack, with frequencies of 1485 and 1459 respectively, underscoring their critical role in data management and analysis. Following closely are the foundational technologies of ETL with a frequency of 619, and Data Engineering, which is indispensable to the role, with a significant count of 801. The integration of Cloud technologies also plays a pivotal part, with AWS and Azure having frequencies of 342 and 252 respectively, indicating the growing demand for cloud-based data solutions. These insights into frequently used technologies can inform hiring strategies for CTOs and engineering managers looking to attract top talent in Hungary's competitive tech sector.

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