Data Science Developer Hiring Trends in Slovenia

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 Slovenia has recently faced fluctuations, with 5 new positions posted in week 24 and a decline to just 1 by week 28, raising concerns for hiring managers.
There has been a net reduction in job availability, with 36 positions closed, necessitating adapted recruitment strategies for CTOs to attract talent in a tightening market.
Ljubljana is the primary hub for Data Engineers, accounting for 83% of job openings, while the demand for Full-time roles remains strong, making up 89% of total positions.
A notable 51% of job postings are targeted at Mid-Senior levels, indicating a significant need for experienced talent, while the median time to hire currently stands at 33 days.
The jobs-to-talent pool ratio in Slovenia presents challenges compared to neighboring markets, highlighting the need for more strategic hiring initiatives to secure skilled Data Data Science Engineers.

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

In the past 12 weeks, the Data Data Science Engineer job market in Slovenia has shown notable fluctuations, with a peak of 5 new positions posted in week 24, followed by a dip to just 1 new job posting in week 28. Weekly job closures reflect a concerning trend, with a cumulative total of 36 positions closed over the same period, indicating a net reduction in job availability. This closing rate highlights a significant challenge for CTOs and hiring managers in Slovenia's tech sector, particularly as competitors in other European markets experience stronger job posting trends. As Slovenian employers grapple with these hiring trends, adapting recruitment strategies will be crucial to attract talent in the face of decreasing opportunities.

Who else is hiring for data Engineers in Slovenia:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	10
Axelera AI	Netherlands	Semiconductors	2021	4
Artificial Intelligence for Digital Humanities (AI4DH)	null	null	null	2
Teads	United States	Marketing & Advertising	2011	1
bunny.net	Slovenia	Information Technology & Services	2015	1
TSMG Holding	Poland	Outsourcing/offshoring	2018	1
BMC Software	United States of America	It Services And It Consulting	1980	1
BMM Testlabs	United States	Gambling & Casinos	1981	1
Pareto AI	United Kingdom	Information Technology & Services	2020	1
Ruby Labs	United States	Information Technology & Services	2018	1

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Talent pool vs job openings for Data Engineers in Slovenia

How competitive it is to hire Data Engineers in Slovenia

The data reveals that Slovenia's job market for Data Data Science Engineers is characterized by a notable imbalance between job openings and the available talent pool. Slovenia shows a jobs-to-talent pool ratio that is less favorable compared to neighboring countries like Austria and Croatia, where the demand for talent is better matched to the supply. In comparison, countries such as Germany and the Netherlands exhibit a more robust talent supply, facilitating easier hiring processes. Consequently, hiring managers in Slovenia may find it challenging to fill Data Data Science Developer positions, necessitating strategic recruitment strategies to attract skilled candidates amidst a competitive landscape.

Seniority distribution of Data Science Engineer job openings in Slovenia

Seniority Distribution of Data Science Engineering Jobs in Slovenia

In Slovenia's Data Data Science job market, the seniority distribution reveals a clear demand for various experience levels. Currently, 51% of job postings are for Mid-Senior level positions, while Entry level roles account for 31%. Additionally, Internship opportunities comprise 12% of the overall market. This data suggests that the demand for experienced Data Data Science Engineers is significant, emphasizing the need for recruitment strategies tailored to attract talent at various stages of their careers.

Preferred employment type for Engineering roles in Slovenia

In Slovenia's competitive landscape for Data Science Engineers, the employment type distribution reveals a strong preference for Full-time roles, which account for 89% of the total job market. This is followed by Contract positions, representing 10%, and a minimal 1% occupying Part-time roles. These figures highlight the growing demand for stable employment opportunities in the field of Data Science, indicating that hiring managers should focus on Full-time recruitment strategies to attract top talent.

Time to Hire Distribution for Data in Slovenia

How long does it take to hire Data Engineers

The time to hire distribution for Data roles in Slovenia presents a notable trend that hiring managers should consider. A significant majority, accounting for 39 positions, falls within the 30-day range, indicating a brisk market for Data Science Engineers. Furthermore, the data shows a total of 80 positions were filled within a timeframe of 30 to 55 days, aligning with the emerging demand for Data Data Science Developer opportunities in Slovenia. In contrast, hiring stretched beyond 60 days appears less frequent, suggesting challenges for recruitment strategies that aim to quickly onboard Senior Data Data Science Developers. Given the concentrated hiring period, recruitment strategies for CTOs in Slovenia's tech sector must adapt to leverage this time-sensitive landscape effectively.

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 Slovenia to hire Data Engineers

Top 5 cities in Slovenia to hire Data Engineers

In Slovenia, the distribution of Data Engineers job openings is predominantly centered in Ljubljana, which accounts for 83% of the total job listings. Following Ljubljana, the broader region of Slovenia contributes to 8% of the openings, while remote opportunities represent 6%. The cities of Maribor and Škofja Loka contribute lesser shares, with 3% and 1% of the job market respectively. This data, illustrated in the accompanying chart, underscores the concentration of Data Data Science Engineer opportunities in the capital, Ljubljana, highlighting its significance in the local tech ecosystem.

Most sought after technologies in Slovenia for Data Science

Key technologies for Data Science Engineers

Data Data Science roles in Slovenia prominently feature a variety of technologies that are critical for success in the field. The most frequently utilized technology is Python, with a significant usage frequency of 5169, underlining its importance in data analysis and machine learning applications. Additionally, SQL ranks highly with a frequency of 1822, essential for database management and querying. Other noteworthy technologies include Machine Learning, at a frequency of 2883, and Data Science, with 1631, indicating the growing focus on advanced data functionalities. For hiring managers and CTOs, understanding these prevalent technologies can guide recruitment strategies in the competitive Slovenian tech sector, as detailed in the accompanying chart.

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