Data Science Developer Hiring Trends in Bosnia and Herzegovina

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 Engineer job market in Bosnia and Herzegovina is characterized by a notably low activity level, with only 1 new job posting in the past week, indicating a tightening landscape for recruitment.
Sarajevo stands out as the leading city for hiring Data Engineers, accounting for 67% of job openings, while Tuzla and Banja Luka each represent 11%, underscoring the geographical concentration of tech talent.
The demand for Mid-Senior level professionals dominates the market, comprising 69% of job listings, suggesting that hiring managers should focus their recruitment efforts on this experience bracket to secure the best candidates.
The competitive nature of the Data Data Science Engineers job market signifies the need for strategic recruitment, particularly since the current number of job openings demonstrates a significant gap compared to the available talent pool.
On average, hiring managers can expect a median time of 34 days to secure Data Engineers, which highlights the importance of timely engagement and swift decision-making to attract the right candidates in this competitive environment.

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

The Data Data Science Engineer job market in Bosnia and Herzegovina has exhibited a notably low activity level, with only 1 new job posting recorded in the past week. This is juxtaposed against a backdrop of a fluctuating number of job closures, with a peak of 3 roles closed in a single week. This discrepancy highlights potential recruitment challenges, indicating an emerging trend where demand for Data Science Engineers may not be met by supply. In comparison to other roles within the country, the relative scarcity of new positions could drive hiring managers to adjust recruitment strategies. Moreover, when viewed alongside hiring trends in neighboring European countries, there appears to be a greater potential for growth in the Data Science sector elsewhere, emphasizing the need for targeted strategies to attract talent in Bosnia and Herzegovina.

Who else is hiring for data Engineers in Bosnia and Herzegovina:

Company name	Country	Industry	Founded	# Job openings
Tacta	Belgium	Software Development	2007	1
Scopely	United States	Entertainment	2011	1
Prop Firm Match	United States	Financial Services	2023	1
Marvelsoft	Hong Kong	Financial Services	2012	1

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Talent pool vs job openings for Data Engineers in Bosnia and Herzegovina

How competitive it is to hire Data Engineers in Bosnia and Herzegovina

The Data Data Science Engineers job market in Bosnia and Herzegovina reveals a competitive landscape, with a notable ratio of available talent to job openings. Currently, Bosnia and Herzegovina has a significant number of job openings compared to its talent pool, reflecting challenges similar to those found in countries like Romania and Poland, where the talent supply does not fully meet the growing demand. This trend indicates that hiring Data Data Science Engineers in Bosnia and Herzegovina is relatively challenging, requiring more strategic recruitment efforts. In contrast, countries like Germany display a more favorable talent ratio, suggesting easier hiring conditions for tech leaders. As the demand for Data Data Science job market in Bosnia and Herzegovina continues to rise, CTOs and recruiters must adapt their strategies to navigate this tight labor market effectively.

Seniority distribution of Data Science Engineer job openings in Bosnia and Herzegovina

Seniority Distribution of Data Science Engineering Jobs in Bosnia and Herzegovina

The seniority distribution for Data Data Science Engineering jobs in Bosnia and Herzegovina reveals a notable demand for Mid-Senior level professionals, capturing 69% of the job market. This is followed by Entry level positions at 24%, indicating a healthy influx of emerging talent. Associate roles, however, represent only 6%, suggesting limited opportunities for mid-tier candidates. Understanding these trends is crucial for hiring managers as they refine their recruitment strategies to attract the right talent in this competitive landscape.

Preferred employment type for Engineering roles in Bosnia and Herzegovina

The employment type distribution for engineering roles in Bosnia and Herzegovina reveals a clear preference for full-time positions, which account for 93% of available jobs. In contrast, contract roles represent 6% of the market, while part-time positions make up 3%. This distribution highlights the significant emphasis on long-term employment opportunities, which is crucial for hiring managers aiming to attract and retain top Data Science Engineers in the region.

Time to Hire Distribution for Data in Bosnia and Herzegovina

How long does it take to hire Data Engineers

The time to hire distribution for Data Data Science Engineers in Bosnia and Herzegovina reveals important insights for tech hiring managers. A significant portion of candidates, 17, require around 30 days to fill various roles. Additionally, the data indicates that 4 candidates can be secured in just 10 days, demonstrating a mix of urgency and opportunity in the hiring landscape. As CTOs and Engineering Managers strategize to fulfill Data Data Science Developer positions, understanding these hiring timelines is crucial for aligning recruitment efforts with market demand. The trends suggest that prompt engagement may yield quicker placements, particularly within the first month of the hiring process.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

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 Bosnia and Herzegovina to hire Data Engineers

Top 5 cities in Bosnia and Herzegovina to hire Data Engineers

In Bosnia and Herzegovina, the distribution of job openings for Data Engineers reveals that Sarajevo leads with a significant 67% of the total positions. Following are Tuzla and the broader region of Bosnia and Herzegovina, each accounting for 11% of the job market, while Banja Luka also holds 11%. Notably, the capital city, Sarajevo, remains the primary hub for Data Data Science job market in Bosnia and Herzegovina, as illustrated in the accompanying chart.

Most sought after technologies in Bosnia and Herzegovina for Data Science

Key technologies for Data Science Engineers

In the Data Data Science job market in Bosnia and Herzegovina, certain technologies are particularly dominant. Python leads the way with an impressive frequency of 5,169, making it the most sought-after programming language in the field. Following closely are Machine Learning and SQL, with frequencies of 2,883 and 1,822, respectively, highlighting their critical roles in data analysis and manipulation. Additionally, the use of Data Science frameworks, along with Java and .NET, further illustrates the diverse technical skill set required by data professionals. These trends are visually represented in the accompanying chart, providing hiring managers with valuable insights into candidate qualifications.

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