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 last 12 weeks, the Data Data Science job market in Italy has demonstrated fluctuating demand, peaking in week 27 with 26 new jobs posted. Over this period, a total of 4 weeks saw more jobs opened than closed, particularly noteworthy in weeks 24 and 25 when job openings reached 10 and 13 respectively. Despite this surge, the overall sentiment remains cautious, as seen in weeks 6 and 8 where closures matched or exceeded openings significantly. When compared to other European nations, Italy's trends show a moderate growth trajectory in Data Data Science Engineer hiring, suggesting a need for strategic recruitment approaches from CTOs in Italy's tech sector to accommodate the rising demand.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Bending Spoons | Italy | Information Technology & Services | 2013 | 11 |
|
KPMG Italy | null | null | null | 7 |
|
|
ICONSULTING | Italy | Management Consulting | 2001 | 6 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 6 |
|
|
Intesa Sanpaolo | Italy | Banking | 2007 | 5 |
|
Adecco | Switzerland | Staffing & Recruiting | 1996 | 4 |
|
|
Jobbit | null | null | null | 4 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 3 |
|
Teoresi Group | Italy | Information Technology & Services | 1987 | 3 |
|
Reply | Italy | Information Technology & Services | 1996 | 3 |
The current job market for Data Data Science Engineers in Europe reveals contrasting scenarios across different countries. In Italy, there are a substantial number of job openings relative to the available talent pool, resulting in a jobs-to-talent pool ratio that suggests increasing difficulty in hiring qualified professionals. Comparing Italy with other European nations, such as Germany and France, which exhibit a more favorable talent availability, we see that hiring Data Data Science Engineers in Italy poses significant challenges for CTOs and hiring managers. Furthermore, countries like Spain, with a larger pool of candidates relative to job vacancies, tend to provide a more competitive environment for recruitment, making the future demand for Data Science roles in Italy an area of strategic focus for industry leaders. Strong recruitment strategies will be essential for attracting top-tier Data Data Science Developers amidst these hiring trends.
In the Italian Data Science Engineering job market, the seniority distribution reveals notable trends. Entry level positions make up 39% of the job openings, while Mid-Senior level roles account for 32%. Additionally, Associate positions represent 24% of the available jobs. This distribution indicates a robust demand for emerging talent as well as seasoned professionals, highlighting the diverse hiring landscape for Data Data Science Engineers in Italy.
In the Italian job market for engineering roles, full-time positions dominate with 95% of the available jobs, exemplifying the continuous demand for skilled professionals in this field. Internships make up 5% of the employment landscape, highlighting opportunities for new talent to enter the industry. Contract roles account for a mere 4%, indicating a stable inclination towards permanent employment among employers.
The time to hire distribution for Data positions in Italy reveals significant trends relevant for hiring managers. Notably, the highest frequency of hires occurs within the 30-day mark, accounting for 153 placements, suggesting an urgency in recruitment for Data Science roles. Following this, the 25-day range also shows notable activity with 112 hires. It's critical for CTOs and Engineering Managers to recognize that while most hires are completed swiftly, a substantial number still extend beyond 30 days, highlighting the competitive landscape for Data Data Science Engineers in Italy. Understanding these hiring timelines can inform recruitment strategies tailored for the evolving Italian tech sector.
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 Italy, the distribution of Data Engineers job openings reveals a significant concentration in major cities. Milan leads the market, accounting for 56% of the total job listings. Rome follows with 23%, while Turin represents 10% of the opportunities. This data underscores the capital's pivotal role in the Data Data Science job market in Italy, as illustrated in the accompanying chart.
In the competitive landscape of the Data Data Science job market in Italy, certain technologies stand out as essential for aspiring Data Science Engineers. The most prevalent technology is Python, with a remarkable frequency of 7,433, followed by SQL at 2,500, signifying its paramount role in data manipulation and querying. The significance of Machine Learning is also underscored, with its usage frequency reaching 3,303, indicating a strong focus on predictive analytics. Additionally, Java, with a frequency of 2,483, continues to be a foundational technology for building robust applications. Technological trends are further illustrated in the attached chart, highlighting the prominence of these skills in shaping hiring strategies for Senior Data Data Science Developers in Italy.
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