Data Science Developer Hiring Trends in Latvia

This report was last updated on Aug 10, 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 job market in Latvia currently features a total of 23 new positions opened over the last three months, contrasted by the closure of 49 jobs, indicating significant recruitment challenges and a net loss of available roles.
Riga dominates the Data Data Science Engineer job market, accounting for 94% of total openings, signifying the capital's central role in the hiring landscape for Data Engineers in Latvia.
Companies actively hiring include prominent players such as EPAM Systems (Information Technology & Services), Printful (Printing), and Canonical (Information Technology & Services), showcasing a diverse range of industries seeking Data Science talent.
The time to hire for Data Science roles stands at a median of 34 days, with 45% of candidates secured within 30 days, underscoring the necessity for hiring managers to adopt efficient recruitment processes to attract top talent promptly.
The Data Data Science job market in Latvia reveals a notable demand for mid-senior level positions, which make up 54% of job openings, suggesting that recruitment strategies should prioritize attracting experienced candidates to meet growing technical needs.

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

In Latvia, the Data Data Science Engineer job market has demonstrated fluctuating activity over the past 12 weeks, with a total of 23 new positions opened during this period. However, the closure of 49 jobs indicates a significant net loss in available roles, highlighting potential recruitment challenges. In comparison to other roles in Latvia's tech sector, Data Data Science positions are facing a more pronounced tightening, suggesting that hiring managers, including CTOs and Engineering Managers, must adopt innovative recruitment strategies. As similar trends are observed across Europe, focusing on providing competitive offerings could be essential to attract and retain top talent in Data Science.

Who else is hiring for data Engineers in Latvia:

Company name	Country	Industry	Founded	# Job openings
EPAM Systems	United States	Information Technology & Services	1993	7
Printful	United States	Printing	2013	6
Canonical	United Kingdom	Information Technology & Services	2004	5
Axelera AI	Netherlands	Semiconductors	2021	5
Paula Stradiņa Klīniskā universitātes slimnīca	Latvia	Hospital & Health Care	1910	3
Bērnu klīniskā universitātes slimnīca / Children's Clinical University Hospital	Latvia	Hospital & Health Care	1899	2
Accenture Baltics	null	null	null	2
Roche	Switzerland	Research	1896	2
Latvian Biomedical Research & Study centre	Latvia	Research Services	1993	2
ELVA	Latvia	Information Technology & Services	2004	2

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 Latvia

How competitive it is to hire Data Engineers in Latvia

In the European software development job market, Latvia presents a unique scenario for Data Data Science Engineers. With a notable number of job openings relative to the available talent pool, the ratio of talent pool to job openings suggests a competitive recruitment landscape. For instance, Latvia has a jobs-to-talent pool ratio that indicates increased difficulty in hiring compared to countries like Poland and Germany, where the market conditions are more favorable for employers. In comparison, Estonia shows a slightly more balanced ratio, pointing toward more promising hiring conditions. As such, recruitment strategies for CTOs in Latvia's tech sector must be carefully crafted to navigate the challenges in attracting Data Data Science talent, particularly as competition intensifies across Europe's technology landscape.

Seniority distribution of Data Science Engineer job openings in Latvia

Seniority Distribution of Data Science Engineering Jobs in Latvia

The data for the Data Data Science job market in Latvia reveals a notable distribution in seniority levels. Mid-Senior level positions dominate the landscape, comprising 54% of the job openings. Entry level roles account for 25%, while internships represent 7% of the available opportunities. This distribution indicates a robust demand for experienced Data Data Science Engineers, suggesting that recruitment strategies for CTOs in Latvia's tech sector should prioritize attracting mid-level talent to meet growing requirements.

Preferred employment type for Engineering roles in Latvia

In Latvia's technology sector, the employment type distribution for engineering roles demonstrates a clear preference for full-time positions, which account for 93% of available jobs. In contrast, contract roles make up 7%, while part-time opportunities represent just 3%. This data highlights the significant demand for Data Data Science Engineers in a stable, full-time capacity, indicating hiring managers should focus their recruitment strategies on sourcing candidates for these predominant employment types.

Time to Hire Distribution for Data in Latvia

How long does it take to hire Data Engineers

The analysis of time to hire distribution for Data Science roles in Latvia reveals critical insights for industry leaders. A significant proportion of candidates, 45%, are hired within a 30-day timeframe, suggesting a relatively swift recruitment process in the region. However, the data also indicates that approximately 21% of candidates take between 20 to 25 days, while 31% require up to 15 days. Notably, there is a tapering off of quick hires past the 35-day mark, with fewer candidates being recruited thereafter. This time to hire data underscores the importance of efficient recruitment strategies for CTOs and hiring managers aiming to secure top Data Science talent in Latvia's evolving tech landscape.

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 Latvia to hire Data Engineers

Top 5 cities in Latvia to hire Data Engineers

In Latvia, the job market for Data Data Science Engineers shows a significant concentration in Riga, which accounts for 94% of the total job openings. This is followed by roles available in Latvia itself, making up 5%, while remote opportunities contribute 1%. The data highlights the capital's dominance in the Data Data Science job market, as illustrated in the accompanying chart.

Most sought after technologies in Latvia for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Latvia is characterized by a compelling array of technologies that are pivotal for success in this field. Among the most prominent is Python, a foundational language utilized in numerous data-related applications, with a frequency of 6,766. Following closely, SQL is essential for database management and data manipulation, recorded at 2,330. Machine Learning also plays a critical role, with a frequency of 3,188, highlighting the growing emphasis on advanced analytical techniques. AI, another cornerstone technology in Data Science, appears 1,962 times, indicating its increasing relevance. These technologies, alongside the noted frequency of Java at 2,196 and data analysis processes at 1,314, showcase the robust technological landscape that hiring managers in Latvia’s tech sector must navigate. For a detailed view of this data, please refer to the accompanying chart.

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.