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.
Over the past 12 weeks, the Data Engineer job market in Georgia has exhibited significant fluctuations in hiring activity. A peak was observed in week 29, with 26 new Data Developer roles posted, contrasting sharply with only 3 openings in week 25. However, this rise in job postings was coupled with a concerning trend in job closures; a staggering 72 positions were closed in week 32. Compared to other roles in Georgia and across Europe, the demand for Data Engineers remains dynamic, yet hiring managers must navigate the high attrition rates while crafting recruitment strategies to attract qualified talent in this competitive landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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EPAM Systems | United States | Information Technology & Services | 1993 | 46 |
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TBC | Georgia | Banking | 1992 | 6 |
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Bank of Georgia | Georgia | Banking | 2017 | 5 |
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Tegeta • თეგეტა | Georgia | Automotive | 1995 | 4 |
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Space International | Georgia | Financial Services | 2018 | 3 |
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Playrix | Ireland | Computer Games | 2004 | 2 |
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Tbilisi State University | null | null | null | 2 |
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Coherent Solutions Romania | null | null | null | 2 |
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Ruby Labs | United States | Information Technology & Services | 2018 | 2 |
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Hill International, Inc. | United States | Construction | 1976 | 2 |
The Data Engineers job market in Georgia shows a significant demand for skilled professionals, with a notable ratio of talent pool size relative to job openings. Currently, Georgia has a ratio indicating a tighter market compared to countries like Germany, France, and the Netherlands, where the talent pools are larger and job opportunities are more abundant. This suggests that hiring Data Engineers in Georgia may pose a challenge for hiring managers, as the competition for available talent is heightened. As companies seek to fill Data Developer opportunities in Georgia, understanding these market dynamics will inform effective recruitment strategies for CTOs and enhance their chances of attracting qualified candidates.
In the Georgia job market for Data Engineers, the seniority distribution reveals a significant focus on Mid-Senior level positions, which account for 63% of available roles. Entry-level positions follow, representing 20% of the market, while Associate roles hold 9% of the job openings. This distribution indicates a strong demand for experienced Data Engineers, suggesting that hiring managers should prioritize recruitment strategies tailored to attract mid-level talent.
In Georgia's engineering labor market, full-time positions dominate with a significant 96% share, reflecting a robust demand for stable employment among Data Engineers. Contract roles account for 4%, indicating a small but notable sector of flexible job opportunities. Meanwhile, internships and part-time positions remain limited, representing just 0% and 2% of the market respectively, suggesting a primarily full-time employment landscape for aspiring Data Developers.
The time to hire distribution for Data job roles in Georgia reveals significant insights for hiring managers in the tech sector. The majority of candidates, encompassing 41 positions, were hired within a timeframe of 30 days, indicating that the urgency and demand for skilled Data Engineers may be influencing quicker hiring practices. Meanwhile, as the timespan extends, the numbers decrease, with only 2 candidates hired in both the 80 and 85-day ranges. This pattern suggests that while there is high demand for Data Engineer opportunities in Georgia, recruitment strategies should focus on optimizing the hiring process to attract top talent within the first month. Overall, understanding these time to hire trends is crucial for CTOs and recruiters looking to adapt their strategies to the evolving Data job market in Georgia.
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 Georgia, the distribution of Data Engineer job openings reveals a significant concentration in key urban areas. Tbilisi, the capital, represents 63% of the total job market with 461 positions, emphasizing its role as the hub for Data Engineering opportunities. Following Tbilisi is the broader category of Georgia at 28%, contributing 205 job openings, while remote positions account for 4% with 26 roles. This data underscores the importance of Tbilisi in the Data job market in Georgia, as illustrated in the accompanying chart.
In the rapidly evolving data job market in Georgia, several technologies stand out due to their high usage frequency among Data Engineers and Developers. Python leads the pack with 7,785 mentions, emphasizing its dominance as a programming language crucial for data manipulation and analysis. Following closely are SQL technologies, with a combined frequency of 7,444, underlining its importance in database management and query execution. ETL tools, which scored 2,981 mentions, are also essential for data integration processes. Machine Learning, with 2,883 references, indicates a growing interest in leveraging AI to extract insights from data. Lastly, Azure, with 1,805 mentions, highlights the relevance of cloud computing in the data landscape. These insights can guide CTOs and hiring managers in aligning their recruitment strategies with market demands, as illustrated in the accompanying chart.
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