Data Science Developer Hiring Trends in Bulgaria

This report was last updated on Sep 6, 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 Engineer job market in Bulgaria is experiencing significant fluctuations, with noticeable peaks in job openings and growing demand for skilled professionals.
In the past 12 weeks, the market has seen job openings peak at 33, highlighting the eagerness of hiring companies to recruit Data Data Science Engineer talent.
Key players in the hiring landscape include Canonical, Acronis, and Experian, indicative of strong investment in data-driven roles across Bulgaria's competitive tech sector.
Bulgaria's major tech hub, Sofia, dominates the job market, accounting for 87% of available positions, which emphasizes the need for localized recruitment strategies tailored to this region.
Challenging hiring dynamics are underscored by a 1:8 talent-to-job opening ratio, which signals a critical need for CTOs and recruiters to enhance their recruitment strategies to attract and retain top Data Data Science Engineer talent.

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

In the Bulgarian job market, the Data Data Science Engineer roles have exhibited significant fluctuations over the past 12 weeks. Notably, job openings peaked in week 31 with 33 new postings, while the overall trend indicates a growing appetite for these professionals compared to other tech roles in the region. Despite the surge in new positions, attrition remains a challenge; with 21 jobs closed in the last week of data reporting. This trend aligns with emerging patterns across Europe's technology landscape, where the demand for Data Data Science Developers continues to outpace many other categories, suggesting that CTOs and Engineering Managers should prioritize recruitment strategies tailored to attract top talent in Bulgaria's competitive tech sector.

Who else is hiring for data Engineers in Bulgaria:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	29
Acronis	Switzerland	Information Technology & Services	2003	10
Experian	United States	Information Services	1980	9
Exadel	United States	Information Technology & Services	1998	7
EPAM Systems	United States	Information Technology & Services	1993	6
Endava	United Kingdom	Information Technology & Services	2000	5
myPOS	null	null	null	5
NielsenIQ	United States	Information Services	1923	5
Redis	United States	Information Technology & Services	2011	5
dormakaba	Switzerland	Building Materials	1908	4

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Talent pool vs job openings for Data Engineers in Bulgaria

How competitive it is to hire Data Engineers in Bulgaria

The job market for Data Data Science Engineers in Bulgaria reveals a competitive scene, marked by a ratio of 1 talent available for every 8 job openings. This indicates a challenging hiring environment, as the demand outweighs the supply. Comparatively, countries such as Germany and France demonstrate a more favorable ratio of 4:1 and 5:1, respectively, making recruitment more manageable in those regions. In contrast, Romania's ratio aligns closely with Bulgaria at 1:6, suggesting similar challenges. Consequently, hiring managers in Bulgaria may need to harness innovative recruitment strategies to attract and retain talent in this increasingly competitive landscape.

Seniority distribution of Data Science Engineer job openings in Bulgaria

Seniority Distribution of Data Science Engineering Jobs in Bulgaria

The seniority distribution for Data Data Science Engineering jobs in Bulgaria reveals that 70% of positions are classified as Mid-Senior level, representing the largest segment of the market. Entry-level roles account for 15%, highlighting a steady pipeline of emerging talent. Additionally, Associate positions make up 6%, indicating a niche yet vital contribution to the overall workforce in this domain.

Preferred employment type for Engineering roles in Bulgaria

In Bulgaria, the employment type distribution for engineering roles reveals a strong preference for full-time positions, which constitute 96% of the job market. Contract roles represent 4%, while part-time opportunities account for less than 3%. This data indicates a competitive landscape for Data Data Science Engineers, highlighting the necessity for recruitment strategies that align with these prevalent employment trends.

Time to Hire Distribution for Data in Bulgaria

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineers in Bulgaria reflects significant variability, crucial for hiring managers navigating the landscape. Notably, the majority of candidates are hired within the 30 to 40-day range, with 188 hires completed in 30 days and 62 in 40 days. Meanwhile, 90 candidates were hired in 15 days, indicating a competitive market for top talent. This trend underscores the urgency for CTOs and recruiters to implement efficient recruitment strategies, as the total time to hire extends to 100 days for some roles. Understanding these hiring trends enhances the ability to position your organization effectively in the Data Data Science job market in Bulgaria.

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Most popular cities in Bulgaria to hire Data Engineers

Top 5 cities in Bulgaria to hire Data Engineers

In Bulgaria, the distribution of job openings for Data Science Engineers reveals a significant concentration in major cities. Notably, Sofia accounts for 87% of the total available positions, highlighting its role as the primary tech hub in the country. Plovdiv and Varna follow, contributing 7% and 2% respectively to the overall job market, while remote positions represent an additional 1%.

Most sought after technologies in Bulgaria for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Bulgaria, several core technologies emerge as critical competencies for professionals. Python leads the pack with a noteworthy frequency of 5,169 mentions, reflecting its dominance in data analysis and machine learning tasks. Closely following are SQL and Machine Learning, utilized in data manipulation and predictive modeling, with frequencies of 1,822 and 2,883 respectively. Additionally, AI, with 1,763 mentions, highlights the increasing integration of artificial intelligence in data-driven projects. For a comprehensive view, please refer to the accompanying chart that details these technology trends in the Data Data Science field.

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