Data Developer Hiring Trends in Novi Sad, Serbia

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 in Novi Sad has recently shown notable fluctuations, peaking with five job openings in week 29, yet experiencing closures that have resulted in a net decrease in opportunities, indicating a need for agile recruitment strategies.
Key technologies in demand for Data Engineers in Serbia include Python and SQL, which have significant usage frequencies of 8,339 and 7,824 respectively, highlighting the vital skills that hiring managers should prioritize when selecting candidates.
In terms of seniority, the job market in Novi Sad leans towards mid-level expertise, with 67% of roles categorizing as Mid-Senior, while only 21% of positions are designated for Entry level professionals, emphasizing a preference for experienced candidates.
Belgrade dominates as the primary city for Data Engineer job openings in Serbia, accounting for 63% of vacancies, followed by Novi Sad at 8%, reinforcing the latter's growing opportunities in the tech sector.
With a median time to hire of 34 days for Data Engineers in Serbia, companies are encouraged to implement efficient recruitment strategies to secure skilled talent rapidly, given the competitive landscape compared to other European countries.

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

Over the past 12 weeks, the Data Engineer job market in Novi Sad has experienced a fluctuating landscape, with new job openings peaking at five positions in week 29. Despite this surge, the closure of jobs has also been notable, with three roles closed in week 30 and again in week 32, creating a net decrease in opportunities. This volatility suggests an emerging trend where recruitment strategies must be agile in response to the dynamic hiring landscape. Compared to other tech roles in the region, the demand for Data Engineers showcases a promising yet competitive hiring environment, reflecting the broader trends observed across Europe, where hiring for data-centric positions remains robust.

Who else is hiring for data Engineers in Serbia:

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

Here are a few specialized data agencies you can trust:

Want to get personalized matches? Get started

Talent pool vs job openings for Data Engineers in Serbia

How competitive it is to hire Data Engineers in Serbia

The Data Engineers job market trends in Serbia reveal a competitive landscape, particularly when compared to other European countries like Hungary, Poland, and Romania. With a substantial number of job openings contrasted against a limited talent pool, Serbia exhibits a jobs-to-talent ratio that suggests difficulty in sourcing skilled Data Engineers. Specifically, while Serbia may present numerous Data Developer opportunities, the match between job demand and available talent underscores the challenge hiring managers face. In contrast, countries such as Hungary and Poland boast a more favorable talent pool size relative to job openings, facilitating recruitment. For CTOs and Engineering Managers looking to navigate the recruitment strategies in Serbia Novi Sad's tech sector, understanding these trends is crucial for effective decision-making.

Seniority distribution of Data Engineer job openings in Novi Sad

Seniority Distribution of Data Engineering Jobs in Novi Sad

In the Data Engineers job market trends in Serbia, particularly in Novi Sad, the distribution of roles showcases a notable trend towards mid-level expertise. Currently, 67% of available positions are attributed to Mid-Senior level professionals, while Entry level roles represent 21% of the job market. Additionally, Associate positions account for 11%. This highlights the growing emphasis on experienced candidates within the local tech sector.

Preferred employment type for Engineering roles in Serbia

In Serbia, the employment landscape for engineering roles shows a clear preference for full-time positions, which account for 95% of the job postings. Contract roles comprise 5% of the market, while part-time and internship opportunities represent a minor share at 2% and 2%, respectively. This distribution underscores the stability sought by employers and the workforce in the hiring of Data Engineers, particularly in cities like Novi Sad.

Time to Hire Distribution for Data in Serbia

How long does it take to hire Data Engineers

In the current Data Engineers job market trends in Serbia, particularly in Novi Sad, the time to hire varies significantly across different time intervals. The majority of candidates (144) are hired within a 30-day period, indicating a relatively quick recruitment process for Data Engineer roles. However, the distribution shows that hiring often peaks around the 15-day mark, with 61 hires made, suggesting this as a strategic timeframe for recruitment. Notably, as the time to hire extends beyond 60 days, the number of roles filled decreases significantly, emphasizing the importance for hiring managers to leverage efficient recruitment strategies within the first month. For CTOs and Engineering Managers, understanding these hiring trends can enhance their recruitment strategies in Serbia's tech sector.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

View Report

Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

View Report

Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

View Report

View All Job Reports

Most popular cities in Serbia to hire Data Engineers

Top 5 cities in Serbia to hire Data Engineers

The location distribution for Data Engineer job openings in Serbia reveals a concentrated market, with Belgrade leading at 63% of total vacancies, followed by Novi Sad at 8% and Niš at 4%. This data emphasizes the significance of Belgrade as the primary hub for Data Engineers in Serbia, while Novi Sad's growing presence highlights emerging opportunities in the region. Refer to the accompanying chart for a visual representation of these statistics.

Most sought after technologies in Novi Sad for Data

Key technologies for Data Engineers

In analyzing the data job market trends in Serbia, particularly in Novi Sad, certain technologies stand out as essential for Data Engineers. Python emerges as a top choice with a significant usage frequency of 8,339, underscoring its prevalence in data-related roles. SQL closely follows with a frequency of 7,824, highlighting its critical role in database management and data querying. Other notable technologies include ETL, which is fundamental in data integration with a frequency of 3,112, and Machine Learning, essential for predictive analytics, at 3,002. As illustrated in the accompanying chart, these technologies reflect the essential tools that hiring managers should consider when evaluating candidates for Data Engineer positions.

Have a great project in mind?

We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.