Data Science 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 Data Science Engineers job market in Hungary has shown significant growth, with 11 new positions in week 21 and peaking at 22 by week 32, indicating a rising demand for Data Data Science Developer opportunities in Hungary.
Currently, there are 3,371 job openings for Data Data Science Engineers, with Budapest hosting 96% of these positions, thereby solidifying its status as a primary hub for talent in this sector.
Competitive hiring conditions are evidenced by a talent pool of 2.5 candidates per job opening, highlighting the need for innovative recruitment strategies for CTOs in Hungary's tech sector to secure top talent.
The current recruitment landscape faces challenges with a significant closure rate of 41 jobs in week 23 alone, which emphasizes the importance of refined hiring strategies to attract and retain Senior Data Data Science Developers.
The median time to hire for Data Engineers in Hungary stands at 34 days, which suggests a quick recruitment process for immediate roles, but longer timelines may be necessary for specialized positions, thus necessitating adaptable hiring practices.

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

In Hungary, the job market for Data Data Science Engineers has displayed notable fluctuations over recent weeks. With a total of 11 new positions posted in week 21, the number peaked at 22 by week 32, indicating a growing interest in Data Data Science Developer opportunities in Hungary's tech sector. However, the recruitment landscape is challenged by a significant closure rate, with 41 jobs closed in week 23 compared to only 4 openings that week. This disparity highlights the competitive nature of hiring Senior Data Data Science Developers and suggests that while demand is on the rise, recruitment strategies for CTOs and Engineering Managers in Hungary must adapt to ensure they attract and retain top talent amidst increasing closures.

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 science engineer job market in Hungary reveals a competitive landscape, with a talent pool that currently supports a dynamic ratio of 2.5 available candidates per job opening. In comparison, countries such as Poland show a ratio of 3.0, while Romania presents a challenging environment with only 1.5 candidates per opening. This suggests that while hiring data science engineers in Hungary is moderate, it remains significantly more favorable than in Romania. Additionally, Germany's more developed tech sector maintains a ratio of 4.0, indicating that recruitment strategies for CTOs in Hungary’s tech landscape might require more innovation to attract top talent as demand evolves.

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 significant trends that hiring managers should consider. Approximately 46% of job openings are for Mid-Senior level positions, while Entry level roles comprise around 23%. Additionally, Associate positions account for about 8% of the market, indicating a strong focus on mid-level talent in the tech sector.

Preferred employment type for Engineering roles in Hungary

In Hungary's engineering job market, the employment type distribution reveals that 96% of available roles are Full-time positions, underscoring the strong demand for permanent staff in the tech sector. Contract roles account for 3%, indicating a relatively small yet significant portion of the market. Part-time positions make up approximately 3% as well, further reflecting the trend towards standard full-time employment within the industry.

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 Engineer roles in Hungary indicates a varied landscape, with 279 instances of candidates being hired within 30 days, reflecting a relatively quick recruitment cycle. However, there's a gradual increase in hiring duration beyond this point, notably with 142 candidates taking 25 days and 111 taking 15 days. This suggests that while immediate hiring is achievable, recruitment strategies may need to adapt for roles requiring specialized skill sets that may extend hiring times beyond 30 days. Understanding this distribution is critical for CTOs and hiring managers as they craft their recruitment strategies for Data Science Developer opportunities in Hungary, especially considering the demand for Senior Data Science Developers is set to rise in the near future.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

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

The current data distribution reveals that Budapest dominates the Data Data Science Engineers job market in Hungary, accounting for 96% of job openings with 3,371 positions available. Following Budapest, Debrecen and Szeged contribute significantly, representing 3% and 1% of the market with 101 and 50 openings, respectively. This concentration in the capital highlights the importance of Budapest as a central hub for Data Data Science Developer opportunities in Hungary.

Most sought after technologies in Hungary for Data Science

Key technologies for Data Science Engineers

In the dynamic landscape of the Data Data Science job market in Hungary, specific technologies emerge as predominant tools for professionals in the field. Python leads the charge with a remarkable frequency of 5,846, highlighting its importance for Data Science tasks. Following closely, Machine Learning is integral with a frequency of 3,002, underscoring the trend toward predictive analytics. SQL, with a frequency of 2,078, remains a cornerstone for data manipulation and querying. Java, known for its versatility, is also significant, appearing 1,689 times in job descriptions, while AI follows with a frequency of 1,795, indicating its rising prominence in Data Science applications. These insights are illustrated in the accompanying chart, providing further clarity on technology usage trends.

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