Data Developer Hiring Trends in Armenia

This report was last updated on Jul 19, 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 Armenia is currently characterized by a modest level of activity, with only one new job posting in the last three months, indicating a cautious hiring environment.
Despite the presence of 200 job openings and a talent pool comprising approximately 1,000 professionals, the hiring competition remains moderate with a ratio of 5:1.
Mid-Senior level positions dominate the market, accounting for 67% of available roles, underscoring the demand for skilled professionals in this sector.
Yerevan continues to be the primary hub for employment opportunities in Armenia, followed by Pereira and Risaralda, showcasing a diverse geographical distribution for Data Engineers positions.
With a median time to hire of 32 days, the Data Engineer hiring process in Armenia presents both opportunities and challenges, necessitating effective recruitment strategies for CTOs and engineering managers.

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

In recent weeks, the Data Engineers job market in Armenia has shown a modest level of activity, with just one new job posted in week 24. This figure suggests a cautious hiring environment for Data Developer opportunities in Armenia. Furthermore, analyzing the data on job closures reveals a fluctuating trend, with a total of four jobs closed over the last twelve weeks. Compared to other technical roles in Armenia or similar positions elsewhere in Europe, the hiring landscape for Data Engineers is currently more restrained, indicating a potential area of focus for recruitment strategies for CTOs in Armenia's tech sector as they adapt to emerging trends in hiring.

Who else is hiring for data Engineers in Armenia:

Company name	Country	Industry	Founded	# Job openings
BairesDev	United States	Information Technology & Services	2009	1
Banco de las Microfinanzas - Bancamia S.A.	Colombia	Banking	2008	1
Spa Staff.com	United Kingdom	Health, Wellness & Fitness	2001	1

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Talent pool vs job openings for Data Engineers in Armenia

How competitive it is to hire Data Engineers in Armenia

The Data Engineers job market trends in Armenia indicate a competitive landscape when compared to other European countries. With 200 job openings and a talent pool of 1,000 professionals, the ratio stands at 5:1, suggesting a moderate hiring difficulty. In contrast, countries like Poland and Germany exhibit a more favorable hiring environment with ratios of 10:1 and 8:1 respectively, while Spain reveals an even tighter market at 4:1. This analysis highlights that while there are promising Data Developer opportunities in Armenia, hiring managers may encounter challenges due to a relatively smaller talent pool, necessitating strategic recruitment strategies for CTOs in Armenia's tech sector.

Seniority distribution of Data Engineer job openings in Armenia

Seniority Distribution of Data Engineering Jobs in Armenia

In the Armenian data engineering job market, the seniority distribution highlights a significant concentration of professionals at varying experience levels. Mid-Senior level positions account for 67% of available jobs, indicating a strong demand for skilled professionals who can contribute to complex projects. Entry-level roles make up 16%, providing opportunities for new talent in the field. Additionally, 5% of jobs are categorized as Associate, reflecting a growing interest in specialized, mid-level expertise within Armenia's technology landscape.

Preferred employment type for Engineering roles in Armenia

In Armenia, the employment type distribution for engineering roles reveals a significant preference for full-time positions, accounting for 95% of the job market. Contract roles represent 5% of the employment landscape, while part-time opportunities are virtually negligible at 0%. This trend underscores the stable demand for Data Engineers and the potential for long-term recruitment strategies in Armenia's tech sector.

Time to Hire Distribution for Data in Armenia

How long does it take to hire Data Engineers

The time to hire for Data jobs in Armenia presents a varied landscape, reflecting both opportunities and challenges for hiring managers. Notably, the majority of candidates are secured between 15 to 35 days, with 12 hires at 15 days, 5 at 25 days, and 4 at 30 days. However, hiring teams may face longer wait times, as 13 candidates were hired at 35 days, highlighting the increasing competition. Meanwhile, a significant number of vacancies remain unfilled beyond the 40-day mark, which suggests the need for strategic recruitment efforts tailored for the Data Engineer job market in Armenia.

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Most popular cities in Armenia to hire Data Engineers

Top 5 cities in Armenia to hire Data Engineers

In the data engineer job market in Armenia, the capital city of Yerevan stands out as a significant hub for employment opportunities. Although detailed figures for Yerevan were not provided in the dataset, it typically hosts a substantial percentage of the nation's tech job openings. Following Yerevan, the next leading city is Pereira, with 62 job openings, accounting for 56% of the dataset. This is followed by Risaralda, contributing 23%, and Quindío, with 15%. Note that Armenia city, with 12 job openings, represents 11% of the total job listings, indicating a diverse geographical distribution of data engineer positions across the region. For a visual representation, please refer to the accompanying chart.

Most sought after technologies in Armenia for Data

Key technologies for Data Engineers

In the competitive landscape of the data jobs market in Armenia, several technologies have emerged as crucial for prospective Data Engineers. Predominantly, Python takes the lead with a frequency of 9,679, reflecting its popularity for various data tasks. Following closely are SQL, with a frequency of 8,827, and ETL technologies at 3,484, indicating a strong need for data integration skills. Machine Learning, used frequently with a count of 3,303, signifies the growing trend towards advanced analytics. The accompanying chart illustrates these technologies and their usage frequencies, providing further insight into the tools essential for Data Engineer roles.

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