Data Science Developer Hiring Trends in Moldova

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

In the past three months, Moldova's Data Data Science Engineer job market experienced five new job openings while facing 14 closures, leading to a challenging hiring environment for tech leaders.
The Moldovan market has a talent pool that is strained, with a jobs-to-talent pool ratio of 2:1, indicating a competitive landscape for securing skilled Data Data Science Engineers.
The majority of Data Data Science Engineering roles, 81%, are positioned at the Mid-Senior level, suggesting that hiring managers should tailor their recruitment strategies accordingly to target this segment.
Chisinau emerges as the primary hub for Data Data Science Engineer positions, accounting for 75% of job listings, thereby making it essential for hiring managers to focus their efforts within this region.
The median time to hire for Data Data Science Engineers in Moldova stands at 33 days, underscoring the need for efficient recruitment processes to attract top talent in this demanding market.

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

In the last 12 weeks, the job market for Data Data Science Engineers in Moldova has shown fluctuating activity. Notably, there were five new job openings recorded, with a peak of two jobs posted in weeks 25, 32, and 33. However, the hiring landscape reflects increasing challenges, as the number of closed positions reached a cumulative total of 14, with a significant spike in closures during weeks 10, 11, and 12. This trend indicates a potentially competitive environment for retaining talent, contrasting with the more stable hiring patterns observed in other European tech sectors, where demand for Data Data Science Engineer roles remains consistently high.

Who else is hiring for data Engineers in Moldova:

Company name	Country	Industry	Founded	# Job openings
Axelera AI	Netherlands	Semiconductors	2021	3
Grid Dynamics	United States	Information Technology & Services	2006	3
Endava	United Kingdom	Information Technology & Services	2000	2
3Pillar	United States	Information Technology & Services	2006	2
FusionWorks	Moldova	Information Technology & Services	2011	2
Ruby Labs	United States	Information Technology & Services	2018	2
yellowshark® AG	Switzerland	Human Resources	2009	1
Undelucram.md	Moldova	Human Resources	null	1
ION	United Kingdom	Information Technology & Services	1998	1
IDT Corporation	United States	Telecommunications	1990	1

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Talent pool vs job openings for Data Engineers in Moldova

How competitive it is to hire Data Engineers in Moldova

The Data Data Science Engineers job market in Moldova presents unique recruitment challenges and opportunities for hiring managers. With a current count of job openings significantly outweighing the size of the available talent pool, Moldova faces a jobs-to-talent pool ratio of 2:1. In contrast, countries such as Poland and Romania show a healthier balance, with ratios closer to 1:3, indicating a less competitive recruitment environment. As demand for Senior Data Data Science Developers increases, the future demand for Data Science Engineers in Moldova specifically will likely push hiring efforts to be more aggressive. Consequently, recruitment strategies for CTOs in Moldova's tech sector will need to adapt, focusing on attracting top talent amid a tightening market. This trend mirrors the emerging hiring landscape across Europe, where the competition for skilled Data Data Science Programmers continues to intensify.

Seniority distribution of Data Science Engineer job openings in Moldova

Seniority Distribution of Data Science Engineering Jobs in Moldova

The current seniority distribution for Data Data Science Engineering jobs in Moldova highlights significant trends that may impact recruitment strategies for CTOs and hiring managers. Notably, 81% of job opportunities fall within the Mid-Senior level, marking it as the dominant segment in the market. This is followed by Entry level positions, which account for 14%, and Associate roles, representing just 5%. Understanding this distribution is crucial for effectively navigating the Data Data Science job market in Moldova.

Preferred employment type for Engineering roles in Moldova

In Moldova's software development job market, the majority of engineering roles are offered as full-time positions, comprising 97% of the total employment types surveyed. Contract positions account for 4%, while part-time roles represent 4% as well. This distribution indicates a strong preference for stable, long-term employment among Data Data Science Engineers, underlining the need for effective recruitment strategies among CTOs and hiring managers in Moldova's tech sector.

Time to Hire Distribution for Data in Moldova

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer roles in Moldova displays notable variability, with a significant concentration of hires occurring within the 30 to 40-day range, where 20 and 7 candidates were sourced, respectively. Additionally, 17 candidates were hired within a span of 10 days, indicating a rapid recruitment strategy that may be beneficial for hiring managers. The distribution shows a gradual decrease in the number of hires as the hiring period extends beyond 40 days, with particularly low activity past the 60-day mark. This trend highlights the importance of timely recruitment practices to secure top talent in the competitive Data Data Science job market in Moldova, reflecting the challenges that CTOs and Engineering Managers may face in meeting demand.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

The Data Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Moldova to hire Data Engineers

Top 5 cities in Moldova to hire Data Engineers

In Moldova, the location distribution for Data Engineers job openings is heavily centered around its capital, Chisinau, which accounts for 75% of the total job listings. Following Chisinau, the region of Moldova contributes 25%, while remote opportunities represent 4%. This data underscores the importance of Chisinau as the primary hub for Data Data Science Engineer roles, as illustrated in the accompanying chart.

Most sought after technologies in Moldova for Data Science

Key technologies for Data Science Engineers

In the Moldovan job market for Data Data Science Engineers, several key technologies are at the forefront, shaping hiring trends and recruitment strategies. Python emerges as the dominant language, utilized in 5,169 instances, making it an essential skill for Data Data Science roles. Closely following are Machine Learning and SQL, with frequencies of 2,883 and 1,822, respectively, underscoring the importance of these competencies in managing and analyzing data. Java and .NET, with 1,337 and 1,250 usages, demonstrate a strong demand for backend technologies, while React and JavaScript, appearing 859 and 875 times, indicate the growing relevance of frontend development skills. This data is further illustrated in the accompanying chart.

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