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Data Science Developer Hiring Trends in Serbia

This report was last updated on Aug 16, 2025

Bence Gedai / Founder

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

  • In the last 12 weeks, the Serbian job market exhibited a notable increase in Data Data Science Engineer openings, peaking at 22 job listings in week 32, while maintaining an average of 10 closures per week, indicating a robust demand for Data Data Science roles.
  • Python stands out as the leading technology with a frequency of 5846, followed by SQL at 2078 and Machine Learning at 3002, which are crucial for hiring managers aiming to attract skilled Data Data Science Engineers in Serbia.
  • The seniority distribution shows that 67% of Data Data Science Engineering roles are Mid-Senior level, highlighting the need for hiring managers to focus on experienced talent to fulfill industry demands.
  • Belgrade emerges as the primary hub for Data Engineering positions in Serbia, accounting for 74% of job opportunities, making it essential for recruitment strategies targeting this specific geographical area.
  • The average time to hire for Data Data Science Engineers in Serbia is 34 days, with a significant number of roles filled within 30 days, underscoring the importance of efficient recruitment strategies in a competitive talent landscape.
Number of roles opened and closed for Data Science Engineers in Serbia in the last 3 months

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

In the Serbian job market, the trend for Data Data Science Engineer positions reveals a notable increase in job openings over the past 12 weeks, peaking at 22 openings in week 32. In contrast, the number of job closures has remained relatively stable, averaging around 10 closed positions per week. This indicates a growing demand for Data Data Science roles, as evidenced by a more significant surge in open positions compared to the number of closures. Compared to other European countries, Serbia showcases a promising landscape for Data Data Science Developer opportunities, which hiring managers should capitalize on to attract skilled talent amidst emerging trends.

Who else is hiring for data Engineers in Serbia:

Company name Country Industry Founded # Job openings
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 30
Acronis logo Acronis Switzerland Information Technology & Services 2003 12
NTT DATA Europe & Latam logo NTT DATA Europe & Latam Spain Information Technology & Services 1967 8
Perplexity logo Perplexity United States Information Technology & Services 2022 7
AMD logo AMD United States Semiconductors 1969 5
Tide logo Tide United Kingdom Financial Services 2015 4
Provectus logo Provectus United States Information Technology & Services 2010 4
Tabby logo Tabby Saudi Arabia Financial Services 2019 3
Tribe logo Tribe Cyprus Staffing And Recruiting null 3
dentsu logo dentsu Japan Marketing & Advertising 2013 3

Here are a few specialized data agencies you can trust:

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Talent pool vs job openings for Data Engineers in Serbia

How competitive it is to hire Data Engineers in Serbia

The Data Data Science job market in Serbia reveals a distinct challenge for hiring managers, especially when compared to other European countries. With an observable ratio of talent pool to job openings, Serbia exhibits an increased difficulty in sourcing qualified Data Data Science Engineers, reflecting a jobs to talent pool ratio that is less favorable than that of countries like Germany and Poland. While countries such as the Netherlands showcase more favorable recruitment metrics, the competition for top-tier talent remains fierce across Europe. This competitive landscape necessitates adaptive recruitment strategies for CTOs and Engineering Managers seeking to secure skilled professionals in Serbia's tech sector.

Seniority distribution of Data Science Engineer job openings in Serbia

Seniority Distribution of Data Science Engineering Jobs in Serbia

The seniority distribution of Data Data Science Engineering jobs in Serbia reveals a prominent inclination towards Mid-Senior level positions, which account for 67% of the available roles. Entry-level positions represent 22% of the market, followed by Associate roles at 7%. This distribution highlights a strong demand for experienced professionals, indicating that hiring managers should prioritize recruitment strategies that attract Mid-Senior level candidates to meet the industry's needs.

Chart about preferred employment type for Engineering roles in Serbia

Preferred employment type for Engineering roles in Serbia

In Serbia's engineering landscape, the employment type distribution reveals that 95% of positions are full-time, indicating a strong preference for stable, long-term employment. Contract roles make up 5% of the total, while part-time positions account for just 1%. This data underscores essential hiring trends for Data Data Science Engineers, emphasizing the predominance of full-time opportunities.

Time to Hire Distribution for Data in Serbia

How long does it take to hire Data Engineers

The time to hire distribution for Data Science positions in Serbia reveals significant insights for hiring managers in the tech industry. A notable 144 instances reflect a hiring timeframe of 30 days, indicating that a substantial portion of job openings are filled within this period. Furthermore, 61 positions were filled within 15 days, suggesting an emergent efficiency in the recruitment process for Data Data Science Engineers. However, as the time to hire extends beyond 35 days, a decline is observed, with only 10 placements made by the 90-day mark. This data emphasizes the importance of adapting recruitment strategies for CTOs and engineering leaders to meet the increasing demand for Data Science talent in Serbia.

Most popular cities in Serbia to hire Data Engineers

Top 5 cities in Serbia to hire Data Engineers

The distribution of Data Engineering job openings in Serbia reveals a significant concentration in the capital, Belgrade, which accounts for 74% of the total job opportunities. Following Belgrade, Novi Sad contributes 10%, while the broader region of Serbia encompasses 16% of the openings. The accompanying chart illustrates these findings clearly, underscoring the central role Belgrade plays in the Data Data Science job market in Serbia.

Most sought after technologies in Serbia for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Serbia is significantly influenced by a range of pivotal technologies, which are critical for hiring managers looking to attract top talent. The most prominent technology is Python, with a remarkable frequency of 5846, underscoring its importance in data analysis and machine learning applications. Following closely are SQL and Machine Learning, with frequencies of 2078 and 3002, respectively, highlighting the emphasis on database management and advanced analytical capabilities. Additionally, Java ranks at 1689, while AI, with a frequency of 1795, showcases the rising trend of incorporating artificial intelligence into data science roles. This technology landscape is essential for addressing recruitment strategies for CTOs in Serbia's tech sector, illustrated in the accompanying chart.

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