Agency Partners
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 past 12 weeks, the Data Data Science Engineer job market in Greece Athens has shown considerable volatility. A total of 16 new positions were posted in week 17, with numbers fluctuating thereafter, peaking at 19 openings in week 20 before dropping to 2 in week 22 and week 28. During the same period, there were 16 job closures early on, reaching a high of 30 closures in week 24. This pattern reflects emerging challenges in recruitment strategies for CTOs in Greece Athens's tech sector, as the demand for Data Data Science Engineers may be influenced by broader trends across Europe. Compared to similar roles in other European countries, the hiring landscape in Greece appears to be more unpredictable, highlighting significant opportunities as well as competitive pressures in attracting talent.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 28 |
|
Netcompany | Denmark | Information Technology & Services | 2000 | 15 |
|
EY | United Kingdom | Professional Training & Coaching | 1989 | 12 |
|
wherewework Hellas | null | null | null | 9 |
|
Chubb | Switzerland | Insurance | 1882 | 8 |
|
|
Accenture Greece | null | null | null | 8 |
|
EUROPEAN DYNAMICS | Greece | Information Technology & Services | 1993 | 7 |
|
Xcede | United Kingdom | Staffing & Recruiting | 2003 | 7 |
|
|
PwC Greece | null | Commercial Services & Supplies | null | 5 |
|
EPAM Systems | United States | Information Technology & Services | 1993 | 4 |
The job market for Data Data Science Engineers in Greece, particularly in Athens, exhibits a competitive landscape. With a ratio of available talent to job openings, Greece shows a challenging hiring environment, mirroring trends observed in other European countries such as Germany, France, and Sweden. Specifically, while Greece has a substantial talent pool, the number of job openings indicates that demand is outpacing supply, making it moderately difficult for CTOs and hiring managers to fill positions. In contrast, countries like Poland seem to have a more favorable ratio, suggesting a more accessible recruitment landscape. Therefore, hiring initiatives in Greece must adopt strategic and targeted approaches to attract skilled Data Data Science Engineers.
In the Data Data Science job market in Greece Athens, the seniority distribution reveals a significant demand for professionals at various levels. The Mid-Senior level positions account for 45% of the job market, followed closely by Entry level roles at 34%. Associate positions, while less prevalent, still represent an important 17% of the total openings. This distribution is crucial for hiring managers considering recruitment strategies in Athens's tech sector.
In Greece, the employment type distribution for engineering roles reveals a strong preference for full-time positions, accounting for 97% of job opportunities with 15,246 openings. Contract roles represent a mere 3% of the market, totaling 529 positions, while part-time roles are significantly lower at 2% with 274 opportunities available. This data underscores the need for hiring managers to focus on full-time recruitment strategies to attract data science talent in Greece, particularly in Athens.
The time to hire for Data Data Science Engineer positions in Greece reveals a diverse recruitment landscape. The majority of candidates, accounting for 182 positions, are hired within 30 days, highlighting a brisk demand for talent in this sector. However, as the time to hire extends, the number of hires decreases, with only 5 candidates securing positions at the 100-day mark. This distribution suggests that while immediate hiring needs are prevalent, organizations must be prepared for a competitive hiring environment, especially for Senior Data Data Science Developers, where swift recruitment strategies may prove beneficial.
The Data Data Science job market in Estonia has experienced notable fluctuations over the past three months, with a peak of 9 new job openings in week 20, but only 1 new opening in week 23 and weeks 26 and 27, highlighting challenges in retaining talent in this competitive sector.
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The Data Engineers job market in Sweden, particularly in Solna, has shown fluctuating trends, with 10 new job openings reported in week 19, followed by significant declines, indicating a net decline in available positions.
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The job market for Data Engineers in Portugal is currently experiencing a robust demand, with a notable increase in openings, peaking at 31 new roles posted in week 27, indicating significant opportunities for Data Data Engineer candidates.
View ReportIn Greece, the location distribution for Data Data Science Engineer job openings reveals that Athens dominates the market, accounting for 81% of the total relevant positions. Thessaloniki follows with a significant but much smaller share of 9%, while Marousi contributes 5%. The data emphasizes Athens's critical role in the Data Data Science job market in Greece and should be considered by hiring managers when strategizing for talent acquisition.
In the competitive landscape of data science roles, particularly in Greece's capital, Athens, specific technologies stand out due to their high demand among employers. The most prevalent technology is Python, with an impressive frequency of 7433, reflecting its critical role in developing data-driven solutions. Following closely, SQL ranks at 2500, signifying its importance for data manipulation and querying. Other notable technologies include Java, utilized in 2483 instances, and Machine Learning, which features prominently with 3303 mentions. This data underscores a clear trend towards proficiency in programming languages and data analysis frameworks, as evidenced in the accompanying chart.
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