Agency Partners
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.
In the last 12 weeks, the Data Engineer job market in Romania's Cluj-Napoca has demonstrated fluctuating activity, particularly with a notable increase in new job postings. The highest demand was observed in week 13 with 18 new positions available, while week 18 saw a sharp decline to only 2 postings. Over this period, a total of 107 Data Engineer roles were opened, contrasting sharply with the 145 positions closed, indicating a potential talent gap in this critical sector. In comparison to other European markets, the demand for Data Engineers in Cluj-Napoca remains competitive, suggesting that hiring managers, including CTOs and Engineering Managers, may need to adopt innovative recruitment strategies to attract top talent in this evolving landscape.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
NTT DATA Europe & Latam | Spain | Information Technology & Services | 1967 | 66 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 51 |
|
Luxoft | Switzerland | Information Technology & Services | 2000 | 37 |
|
Microsoft | United States | Information Technology & Services | 1975 | 35 |
|
|
Hipo.ro | Romania | Professional Services | 2006 | 34 |
|
IBM | United States | Information Technology & Services | 1911 | 29 |
|
ING Hubs Romania | Romania | Information Technology & Services | 2015 | 23 |
|
|
Undelucram.ro | Romania | Human Resources | 2011 | 17 |
|
Deutsche Bank | Germany | Financial Services | 1870 | 15 |
|
Endava | United Kingdom | Information Technology & Services | 2000 | 13 |
In the competitive landscape of Data Engineers, Romania, particularly Cluj-Napoca, presents a promising yet challenging hiring environment. With a considerable number of job openings, the ratio of available talent to job listings suggests a moderate ease of hiring. For instance, Romania has a jobs-to-talent pool ratio that indicates a slightly tighter market compared to countries like Poland and the Czech Republic, where the availability of skilled Data Engineers is more balanced in relation to job opportunities. Meanwhile, Germany, with its high demand, demonstrates an even higher difficulty in sourcing talent. As a result, CTOs and engineering managers looking to recruit Data Engineers in Cluj-Napoca should be prepared to implement strategic recruitment initiatives to attract top talent amid growing competition.
In the vibrant data job market of Romania's Cluj-Napoca, the seniority distribution reveals key insights for hiring managers. Currently, 49% of Data Engineering positions are classified as Mid-Senior level, while Entry level roles constitute 26% and Associate positions account for 11%. This distribution underscores the strong presence of experienced professionals in the market, highlighting the importance of targeted recruitment strategies for CTOs and engineering managers aiming to fill Data Engineer roles effectively.
In the Romanian software development job market, the employment type distribution reveals that 97% of engineering roles are full-time positions, showcasing a strong inclination towards stable employment. Contract roles account for 3% of the market, while part-time and internship opportunities comprise a minimal fraction at 2% and less than 1%, respectively. This data highlights the preference for full-time engagement among professionals in the technology sector, particularly for Data Engineers job market trends in Romania and Cluj-Napoca.
In Romania, the time to hire for Data roles reveals significant insights into the job market dynamics, particularly in Cluj-Napoca. The majority of positions, accounting for 445 counts, are filled within 30 days, indicating a swift recruitment process. However, there is also notable competition for talent, with 211 positions taking up to 15 days and a gradual decline observed for longer hiring durations. This trend provides hiring managers, CTOs, and recruiters with critical information to refine their recruitment strategies and anticipate the future demand for Data Engineers in Romania Cluj-Napoca. Understanding these hiring trends enables companies to position themselves effectively in the competitive landscape of Data Developers.
The Data Engineer job market in Estonia, particularly in Tartu, has emerged as a competitive landscape, marked by a current talent pool of 186 job openings in the region.
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The Data Data Science Engineer job market trends in Switzerland, specifically in Geneva, show a competitive landscape with a notable peak of 16 new job postings in week 11, declining to just 1 in week 21, indicating potential challenges in job retention and an imbalance between supply and demand.
View ReportThe Data Engineers job market trends in Romania, particularly in Cluj-Napoca, reflects a dynamic and competitive landscape, with 107 job openings observed over the last 12 weeks compared to 145 roles closed, indicating a potential talent gap.
View ReportIn Romania's Data Engineers job market, Bucharest leads significantly with 66% of available positions, showcasing its status as a tech hub. Cluj-Napoca, with 11%, stands as the second most favorable city for Data Engineer opportunities, indicating a growing tech landscape. Timisoara follows with 4%, highlighting the concentration of tech roles in the capital while showcasing the emerging potential in Cluj-Napoca.
The analysis of the data job market in Romania, particularly in Cluj-Napoca, reveals prominent technologies that are essential for Data Engineers. Python leads the way with a frequency of 11,945, highlighting its critical role in Data Development. Following closely is SQL, which appears 10,561 times, underscoring its importance for database management and data manipulation. Other notable technologies include Data Engineering (4,177) and ETL (4,003), essential for data integration and processing tasks. These insights are illustrated in the accompanying chart, providing a clear overview of the most commonly used technologies for Data jobs.
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