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Data Science Developer Hiring Trends in Lisbon, Portugal

This report was last updated on Aug 16, 2025

Bence Gedai / Founder

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 Lisbon has seen a dynamic landscape over the past 12 weeks with a total of 66 new positions opened and closed, indicating a stable demand despite fluctuations throughout the period.
  • Lisbon accounts for 78% of total job openings in Portugal, reinforcing its position as the primary tech hub, followed by Porto with 23%, making these cities essential for hiring managers in the tech industry.
  • Key technologies in demand among Data Science Engineers in Portugal include Python and SQL, which are critical for data analysis and management, reflecting the predominant skills sought by employers.
  • The talent pool for Data Data Science Engineers is substantial, yet hiring remains competitive due to the high demand for talent relative to job openings, necessitating refined recruitment strategies for CTOs and engineering managers.
  • The median time to hire for Data Engineers in Portugal is currently 33 days, reinforcing the importance of efficient hiring processes in order to secure top candidates in this competitive job market.
Number of roles opened and closed for Data Science Engineers in Lisbon in the last 3 months

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

Over the past 12 weeks, the Data Data Science Engineer job market in Lisbon has exhibited notable variability, with a total of 66 new positions opened against 66 closed. Specifically, week 24 marked a peak in job openings with 13 new roles, while other weeks fluctuated, reaching a low of just 1 position in week 23. This equates to an average of approximately 5.5 new jobs per week. In comparison to other roles within Portugal and across Europe, the Data Science sector appears relatively stable, indicating a consistent demand amidst the competitive landscape, particularly as hiring trends for Senior Data Data Science Developers evolve in response to broader technology sector demands.

Who else is hiring for data Engineers in Portugal:

Company name Country Industry Founded # Job openings
Escola Superior de Biotecnologia da Universidade Católica Portuguesa logo Escola Superior de Biotecnologia da Universidade Católica Portuguesa null null null 29
Adentis Portugal logo Adentis Portugal Portugal Information Technology & Services 2016 12
PrimeIT logo PrimeIT Portugal Information Technology & Services 2006 12
Decskill logo Decskill Portugal Information Technology & Services 2014 11
Match Profiler logo Match Profiler Portugal Information Technology & Services 1999 7
Inetum logo Inetum France Information Technology & Services 1970 6
MoonPay logo MoonPay United States Information Technology & Services 2018 5
Closer Consulting logo Closer Consulting Portugal Information Technology & Services 2006 5
Irium Portugal logo Irium Portugal Portugal Information Technology & Services 2019 5
KCS iT logo KCS iT Portugal Information Technology & Services 2008 5

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Talent pool vs job openings for Data Engineers in Portugal

How competitive it is to hire Data Engineers in Portugal

In the competitive landscape of Data Data Science Engineers job market trends in Portugal, the availability of job openings relative to the talent pool plays a crucial role. Portugal, alongside countries such as Germany, the Netherlands, and Spain, displays a significantly high ratio of talent pool to job openings. With a talent pool of X and Y openings, Portugal's ratio indicates a challenging hiring environment for CTOs and hiring managers seeking Data Data Science developers. Comparatively, while Germany boasts a larger market, the saturation of openings poses similar challenges, making recruitment strategies pivotal. Hence, engineering managers and recruiters are encouraged to refine their approaches to attract candidates effectively amidst the growing demand for Data Data Science Engineer opportunities in Portugal Lisbon.

Seniority distribution of Data Science Engineer job openings in Lisbon

Seniority Distribution of Data Science Engineering Jobs in Lisbon

In the vibrant Data Data Science job market in Portugal, particularly in Lisbon, the majority of positions are concentrated at the Mid-Senior level, accounting for 48% of the total openings. Entry-level roles follow closely, comprising 24% of the job market. Internship opportunities, while fewer, represent 5% of the available positions, indicating a promising entry point for aspiring Data Data Science Engineers.

Chart about preferred employment type for Engineering roles in Portugal

Preferred employment type for Engineering roles in Portugal

In Portugal's technology landscape, the employment type distribution for engineering roles reveals a clear preference for full-time positions, comprising 94% of total opportunities. Contract roles account for a modest 5%, while part-time opportunities and internships represent just 1% and less than 1%, respectively. This data underscores the dominance of full-time employment in the Portuguese job market, particularly for roles in data science and engineering.

Time to Hire Distribution for Data in Portugal

How long does it take to hire Data Engineers

The time to hire for Data Science jobs in Portugal shows diverse results, indicative of the current hiring landscape. A significant portion, 258 candidates, were hired within 30 days, with the overall majority of hires occurring within the 25 to 35-day window. Peaks are observed at key intervals, with 155 hires at 25 days and 141 at 35 days, suggesting that hiring managers should streamline their processes to compete effectively for top talent. Notably, as the time to hire extends beyond 40 days, counts dramatically decrease, with only three hires made at the highest intervals of 100 and 105 days. This highlights an emerging trend where candidates may become less available as hiring timelines extend, prompting CTOs and engineering managers to adopt proactive recruitment strategies to attract skilled Data Science Engineers in Portugal's competitive landscape.

Most popular cities in Portugal to hire Data Engineers

Top 5 cities in Portugal to hire Data Engineers

The Data Engineers job market in Portugal is predominantly concentrated in Lisbon, which accounts for 78% of the total job openings in the region. Following Lisbon, Porto represents 23% of the opportunities, while the remaining cities, including Lisboa and various remote positions, contribute a smaller share. This significant presence of job openings in Lisbon underscores its status as the leading tech hub in the country, highlighting the importance for hiring managers to focus their recruitment efforts in this vibrant capital.

Most sought after technologies in Lisbon for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Portugal, particularly in Lisbon, several key technologies are prevalent among job seekers. Python remains the most frequently utilized language, with a staggering usage frequency of 5,846, highlighting its critical role in data analysis and machine learning. Following closely is SQL, at 2,078, which underscores the importance of database management in data science roles. Machine Learning and AI, with frequencies of 3,002 and 1,795 respectively, reflect the growing emphasis on advanced analytics and intelligent algorithms. Furthermore, Java, .NET, and React are also noteworthy, with their respective frequencies of 1,689, 1,250, and 859, demonstrating the diverse technical skills sought by employers. For a comprehensive view of technology usage trends, please refer to the accompanying chart.

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