Agency Partners
This report was last updated on Sep 6, 2025
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.
In the last 12 weeks, the Data Engineers job market in Moldova has demonstrated fluctuating opportunities, highlighted by a total of 21 new roles posted, peaking at 6 positions in week 25. However, the closure of jobs has been significant, with a notable spike of 7 positions closed in week 34. This reflects a net decline in openings, contrasting with the stability seen in other tech roles in the region, indicating a possible challenge for hiring managers. Recruitment strategies for CTOs in Moldova's tech sector may need to adapt in response to these trends, particularly in light of emerging competition for Data Developer opportunities across Europe.
| 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 |
The data job market in Europe shows substantial variation when comparing the number of job openings to the corresponding talent pool. Countries such as Germany, with a count of 10,000 job openings and a talent pool of 30,000, exhibit a jobs-to-talent pool ratio of 3, indicating a relatively more accessible hiring environment. In contrast, Moldova presents a tougher landscape, with only 500 job openings alongside a talent pool of 2,000, resulting in a ratio of 4, which suggests that while available talent is relatively large compared to job openings, the competition could still be significant. Other notable markets like France and the Netherlands show similar challenges with their growing tech sectors, yet their higher job opening counts compared to talent pools signal more difficulty in sourcing top candidates. Therefore, recruitment strategies for CTOs in Moldova's tech sector will need to adapt to these emerging trends, particularly when seeking Data Engineers and Senior Data Developers.
In the Moldovan Data Engineering job market, the seniority distribution reveals that Mid-Senior level positions dominate with 78% of the job offerings. Entry level roles account for 23%, and Internship opportunities represent a smaller segment at 5%. This distribution highlights the significant demand for experienced Data Engineers, while also indicating a budding interest in nurturing entry-level talent.
In Moldova's engineering job market, the distribution of employment types reveals significant trends relevant for hiring managers. Full-time positions dominate the landscape, accounting for 96% of job opportunities. Contract roles represent 4%, while part-time opportunities comprise just 3%. This distribution highlights a strong preference for stable employment among Data Engineers and reinforces the importance of full-time hiring strategies for CTOs and engineering leaders.
The time to hire for Data Engineer positions in Moldova exhibits a varied distribution, offering key insights for hiring managers and CTOs navigating the local job market. The majority of candidates are hired within a 30 to 40 day timeframe, indicating a competitive landscape, with 20 placements occurring at the 30-day mark and 9 at 35 days. Extended hiring durations are observed for positions taking 50 days or more, reflecting challenges that may arise in sourcing qualified Data Engineers. With 17 placements completed within 10 days and significant counts in the 15 to 25 day range, recruitment strategies for technical roles should prioritize efficiency to capitalize on the shortlisting of candidates. Monitoring these trends is crucial for shaping effective recruitment strategies in Moldova's dynamic tech sector.
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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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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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.
View ReportIn the analysis of the Data Engineers job market in Moldova, Chisinau stands out as the dominant hub, boasting 67% of the total job openings. The secondary city, Moldova, accounts for 22% of the opportunities, while remote positions make up 4% of the job landscape. These insights underscore the notable concentration of Data Developer opportunities in the capital, which hiring managers should consider when strategizing recruitment.
The technology landscape for Data Engineer roles is dominated by several key tools and languages that play a crucial role in shaping the hiring trends within Moldova's tech sector. Notably, Python emerges as the most frequently utilized tool, with a remarkable frequency of 7,785 mentions, underscoring its importance in data manipulation and analysis. SQL follows closely behind, with a frequency of 7,444, indicating its essential role in database management and query performance. In addition to these, Machine Learning (2,883 mentions) and Data Engineering (3,749 mentions) technologies are vital in driving the development of intelligent data-driven applications. ETL processes, which capture data from various sources, have a strong presence with 2,981 mentions, while Data Analysis (2,271 mentions) highlights the significance of analytical skills in data jobs. For an illustrative overview of these trends, please refer to the accompanying chart.
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