Data Developer Hiring Trends in Milan, Italy

This report was last updated on Aug 16, 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

The Data Engineers job market trends in Italy, specifically in Milan, reflect a dynamic landscape characterized by a significant range in job openings.
Milan leads the Italian job market with 45% of total Data Engineer job openings, establishing itself as the central hub for data talent in Italy.
Top companies actively hiring Data Engineers include Bending Spoons, KPMG Italy, and ICONSULTING, showcasing the variety of sectors seeking data expertise.
Despite the rising number of job openings, hiring for Data Engineers remains competitive, influenced by a talent pool smaller than in neighboring countries like Germany and France.
The median time to hire Data Engineers in Italy is currently 32 days, highlighting the urgency for CTOs and hiring managers to adapt their recruitment strategies to efficiently secure top talent.

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

In the past 12 weeks, the Data Engineer job market in Italy, specifically Milan, has demonstrated significant fluctuations. During week 32, a peak of 45 new positions was posted, showcasing a strong surge in hiring activity. Conversely, the number of closed jobs has also been notable, with a high of 18 closures in week 31. On average, the region has experienced a net opening of new roles, translating to a promising outlook for Data Engineer opportunities in Milan. Compared to broader European trends, Milan exhibits robust activity, indicating a competitive recruitment landscape for those in Senior Data Developer roles.

Who else is hiring for data Engineers in Italy:

Company name	Country	Industry	Founded	# Job openings
Bending Spoons	Italy	Information Technology & Services	2013	55
Axelera AI	Netherlands	Semiconductors	2021	6
KPMG Italy	null	null	null	5
Unieuro S.p.A.	null	null	null	4
ICONSULTING	Italy	Management Consulting	2001	4
NTT DATA Europe & Latam	Spain	Information Technology & Services	1967	3
Teoresi Group	Italy	Information Technology & Services	1987	3
Canonical	United Kingdom	Information Technology & Services	2004	2
Axcent Company	Italy	Information Technology & Services	2008	2
Prima	Italy	Insurance	2014	2

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Talent pool vs job openings for Data Engineers in Italy

How competitive it is to hire Data Engineers in Italy

The job market for Data Engineers in Italy, particularly in Milan, reflects a significant demand amidst a growing talent pool. With a current ratio of talent pool size to job openings, it can be deduced that hiring Data Engineers in Italy presents challenges, especially when compared to neighboring countries such as Germany and France, where the competition is equally intense. For instance, while Italy has a robust number of openings, the relatively lower availability of qualified Data Engineers suggests that recruitment strategies for CTOs in Italy's tech sector must adapt to address this gap. In contrast, Spain shows a more balanced ratio, indicating slightly easier hiring conditions. Hence, while opportunities for Data Developers are on the rise in Milan, hiring managers may experience increased difficulty in sourcing top talent.

Seniority distribution of Data Engineer job openings in Milan

Seniority Distribution of Data Engineering Jobs in Milan

In the Data Engineers job market trends in Italy Milan, the seniority distribution reveals that 43% of positions are entry-level, followed by 33% in the mid-senior level category, and 26% classified as associate roles. This data indicates a significant presence of junior roles, highlighting the potential for growth and development opportunities within the sector.

Preferred employment type for Engineering roles in Italy

In Italy's engineering job market, the distribution of employment types reveals key insights for hiring managers. Full-time positions dominate with 32,000 job openings, accounting for 93% of the market. Additionally, internships represent a significant 6% with 2,100 opportunities, while contract roles comprise 1% with 1,096 listings.

Time to Hire Distribution for Data in Italy

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in Italy, particularly in Milan, reveals valuable insights for hiring managers. A significant number of positions, specifically 160 roles, are filled within a 30-day period, indicating a competitive landscape. Moreover, 112 positions are hired in under 10 days, emphasizing the urgency for tech leads and CTOs in securing top talent swiftly. However, there are also 85 positions requiring up to 15 days and 55 positions taking up to 20 days, suggesting that recruitment strategies may need to be adjusted based on market demand. Understanding these time frames is crucial for engineering managers and recruiters aiming to streamline their hiring processes effectively.

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Insights for hiring Data Engineers in Warsaw

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Most popular cities in Italy to hire Data Engineers

Top 5 cities in Italy to hire Data Engineers

In the Italian job market for Data Engineers, Milan stands out with 45% of the total job openings, significantly leading the way. Following Milan, Rome accounts for 17% of the opportunities, while Turin contributes 8%. This distribution underscores Milan's position as the epicenter of data talent in Italy, a crucial factor for hiring managers looking to attract top Data Engineers.

Most sought after technologies in Milan for Data

Key technologies for Data Engineers

The Data Engineers job market trends in Italy, particularly in Milan, highlight several prevalent technologies that shape the recruitment landscape. SQL emerges as a cornerstone, demonstrating an impressive frequency of 7824, making it a must-have skill for Data Developers. Python closely follows, with a frequency of 8339, emphasizing its significance in data manipulation and analysis. Additionally, AWS and Azure are critical cloud platforms, with frequencies of 1907 and 1887 respectively, underscoring the importance of cloud-based solutions in modern Data Engineering roles. Machine Learning, at a frequency of 3002, reflects the industry's evolution towards sophisticated data processing capabilities. This evaluation of technologies is visualized in the attached chart, providing hiring managers with a clear view of the current market dynamics.

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