Data Science Developer Hiring Trends in Zagreb, Croatia

This report was last updated on Sep 6, 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 Data Science Engineers job market in Croatia, specifically in Zagreb, is currently experiencing a challenging dynamic with a total of 300 job openings matched against a talent pool of 1,200 candidates, yielding a moderate jobs-to-talent ratio of 4.
Over the last three months, there have been 24 new job postings for Data Science Engineers in Zagreb, yet 55 positions were closed, indicating a significant disparity that hiring managers must navigate.
Zagreb dominates as the primary location for Data Data Science Engineer opportunities, accounting for 87% of the job openings in Croatia, emphasizing the capital's central role in the tech sector.
Python, SQL, and machine learning technologies are critical skillsets for Data Science Engineers, with Python being the most sought-after language, as the market demands proficiency in these key areas.
Top companies hiring Data Data Science Engineers in Croatia include Happening, Canonical, and ENT - Ericsson Nikola Tesla, reflecting the concentration of opportunities within the tech industry.

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

In the last 12 weeks, the job market for Data Data Science Engineers in Croatia Zagreb has exhibited fluctuating activity. Notably, there has been a total of 24 new job postings, averaging just 2 per week, while 55 positions were closed, reflecting a stark disparity in hiring dynamics. This suggests a challenging environment for hiring managers, as the closure rate significantly outpaces new openings, indicating potential difficulties in sourcing talent. In comparison to other roles in Croatia Zagreb, this trend highlights the increasing competition within the Data Data Science job market, necessitating strategic recruitment approaches for CTOs and Engineering Managers looking to secure top talent.

Who else is hiring for data Engineers in Croatia:

Company name	Country	Industry	Founded	# Job openings
Happening	United Kingdom	Information Technology & Services	2022	11
Canonical	United Kingdom	Information Technology & Services	2004	8
ENT - Ericsson Nikola Tesla	Croatia	Information Technology & Services	null	6
GlobalLogic	United States	Information Technology & Services	2000	3
Amazon Web Services (AWS)	United States	null	null	2
Teva Pharmaceuticals	Israel	Pharmaceuticals	1901	2
Adcubum Hrvatska	null	null	null	2
Nexi Croatia	Croatia	Financial Services	null	2
InfoDom Ltd.	Croatia	Information Technology & Services	1993	2
Infobip	United Kingdom	Information Technology & Services	2006	2

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Talent pool vs job openings for Data Engineers in Croatia

How competitive it is to hire Data Engineers in Croatia

In the data science job market, Croatia's current landscape presents a notable challenge for hiring managers. With 300 job openings for Data Science Engineers and a talent pool of 1,200 available candidates, the jobs-to-talent ratio stands at 4. This ratio indicates a moderate difficulty in securing top-tier talent in Croatia. In comparison, Poland shows a higher availability with 1,000 job openings and a talent pool of 5,000, yielding a more favorable ratio of 5. Similarly, Hungary, with 500 positions and a talent pool of 2,500, exhibits a ratio of 5 as well. Contrastingly, Germany, at 2,500 job openings and 12,000 available candidates, maintains a ratio of 4.5. This analysis suggests that while Croatia has a decent talent pool relative to its job openings, hiring managers may still face challenges similar to those in Germany, highlighting the importance of targeted recruitment strategies in Croatia Zagreb's tech sector.

Seniority distribution of Data Science Engineer job openings in Zagreb

Seniority Distribution of Data Science Engineering Jobs in Zagreb

In the competitive landscape of Data Data Science Engineering jobs in Croatia Zagreb, the seniority distribution reveals important insights for hiring managers. Currently, 62% of available positions are at the Mid-Senior level, followed by 41% for Entry level roles. The Associate level accounts for 6%, highlighting a clear focus on experienced candidates in this burgeoning market.

Preferred employment type for Engineering roles in Croatia

The employment landscape for engineering roles in Croatia reveals a pronounced preference for full-time positions, accounting for 93% of job offerings. Contract roles represent 6% of the available opportunities, while part-time positions make up a modest 3%. This distribution highlights the strong demand for stable, long-term employment in the engineering sector, particularly for Data Data Science Engineers in Croatia's burgeoning tech hubs such as Zagreb.

Time to Hire Distribution for Data in Croatia

How long does it take to hire Data Engineers

The time to hire for Data roles in Croatia reflects a diverse landscape, with the majority of candidates (50) taking 30 days to secure positions, highlighting a moderate hiring timeframe. Notably, a significant number of vacancies remain open for 10 days (36) and 20 days (29), indicating efficient recruitment processes in this sector. However, the distribution also reveals that candidates can take considerable time to hire, as evidenced by 25 hires taking 60 days and 19 taking 50 days. This trend emphasizes the need for hiring managers to refine recruitment strategies to attract top Data Science Engineer talent swiftly, especially in the competitive market of Croatia, particularly in Zagreb.

Expolore reports from other European Developer talent pools

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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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Insights for hiring Data Engineer Engineers in Spain

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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Insights for hiring Data Engineers in Krakow

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.

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Most popular cities in Croatia to hire Data Engineers

Top 5 cities in Croatia to hire Data Engineers

The distribution of Data Data Science Engineer job openings in Croatia reveals that Zagreb, the capital, commands a significant share of the market with 87% of the total openings. This is followed by Croatia at 8% and Remote opportunities at 4%. It is noteworthy that Split and Osijek contribute to a smaller fraction, with only 2% and 1% respectively. Refer to the attached chart for a visual representation of this data.

Most sought after technologies in Zagreb for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Croatia, particularly in Zagreb, is significantly influenced by a diverse range of technologies that are critical for employers seeking to hire Data Science Engineers. Notably, Python leads the way with a frequency of 5,169, making it the most sought-after programming language in data analysis and machine learning roles. Following closely are SQL and Machine Learning, with frequencies of 1,822 and 2,883 respectively, highlighting the importance of data manipulation and predictive analytics skills. Additionally, Java and AI, with frequencies of 1,337 and 1,763, respectively, underscore the trend towards integrating advanced technologies in data science initiatives. This information is illustrated in the accompanying chart, which provides further insights into the prevalence of these key technologies.

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