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In the past 12 weeks, the Data Science Engineer job market in Portugal demonstrated considerable fluctuations, with a peak of 25 new roles posted during week 6 and averaging around 16 new job postings per week thereafter. This trend suggests a growing demand for Data Science skills, despite the overall European tech landscape posting a significantly higher average of over 1,200 jobs per week for similar roles. Notably, the closure of jobs in this sector often coincided with hiring surges, indicating a dynamic market responsive to the urgent need for Data Science talent. In comparison to other tech roles in Portugal, the job openings for Data Science Engineers represent a targeted niche, revealing an opportunity for hiring managers and CTOs to refine their recruitment strategies to attract the right candidates amidst stiff competition.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Adentis Portugal | Portugal | It Services And It Consulting | 2016 | 7 |
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Match Profiler | Portugal | Information Technology & Services | 1999 | 7 |
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KCS iT | Portugal | Information Technology & Services | 2008 | 4 |
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Nokia | Finland | Telecommunications | 1865 | 3 |
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Xcede | United Kingdom | Staffing And Recruiting | 2003 | 2 |
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Irium Portugal | Portugal | Information Technology & Services | 2019 | 2 |
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Capgemini Engineering | null | null | null | 2 |
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Alter Solutions Group | France | Information Technology & Services | 2006 | 1 |
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Noesis | Portugal | Information Technology & Services | 1995 | 1 |
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Airtime | United Kingdom | Telecommunications | 2015 | 1 |
The Data Science Engineers job market trends in Portugal indicate a challenging hiring landscape, with a considerably higher jobs-to-talent ratio compared to neighboring countries. For instance, Portugal has 3,200 job openings alongside a talent pool of 4,000, resulting in a ratio of 1.25. In contrast, Spain exhibits a more favorable market with a ratio of 0.8 due to a larger talent pool of 8,000 for 10,000 openings. Similarly, Germany shows a ratio of 1.0 with 15,000 opportunities and 15,000 available professionals. This imbalance suggests that while demand is robust in Portugal, recruitment strategies for CTOs targeting Senior Data Science Developers must be agile and focused, as the relatively tight labor market may complicate the sourcing of qualified candidates.
The seniority distribution of Data Science Engineering jobs in Portugal indicates a robust market for Mid-Senior level candidates, accounting for 69% of available positions. Entry-level opportunities comprise 21% of the job market, while Associate roles represent 4%. This data highlights a significant demand for experienced professionals, suggesting that hiring managers should focus on attracting and retaining Mid-Senior level talent in their recruitment strategies.
In analyzing the employment type distribution for engineering roles in Portugal, it is notable that the majority of positions are classified as Full-time, accounting for 94% of the total job market. This is followed by Contract roles, which make up 6% of the opportunities. Part-time and Internship roles represent a minimal fraction, comprising less than 1% each of the overall employment landscape.
The time to hire for Data Science roles in Portugal highlights significant variability, with a notable concentration of hires occurring within the 30 to 35 days range, accounting for 47 and 25 positions respectively. Hiring managers in the tech sector should expect a substantial number of candidates being secured within the first month of openings, as evidenced by the high count in the 30-day bracket. Interestingly, the demand extends beyond the 30-day mark, with a noticeable drop in counts as times extend to 40 days and beyond. This indicates both a competitive job market for Data Science Engineers and a need for effective recruitment strategies from CTOs and hiring teams to attract top talent before they become unavailable. By strategically positioning recruitment efforts to align with these time frames, organizations can better navigate the Data Science job market in Portugal.
The Data Science job market in the Netherlands indicates a total of 40 new job postings within a week, with a competitive landscape reflected in the closure of up to 39 positions in a single week.
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The talent pool for Data Science Engineers in Estonia is relatively constrained, making the hiring landscape competitive despite a substantial number of job openings.
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The Data Science job market in Lithuania exhibits significant competition, with a talent pool of 800 professionals against 200 job openings, resulting in a jobs-to-talent pool ratio of 4.0.
View ReportIn Portugal, the distribution of Data Science Engineer job openings reveals a concentrated demand in key cities, underscoring the significance of urban tech ecosystems. Lisbon stands out as the primary hub, accounting for 73% of the total job openings at 197 positions. Following Lisbon, Porto exhibits a notable presence with 19% of the opportunities, totaling 52 job listings. The data indicates that the remaining cities combined, including Lisboa and others, contribute a modest 8% to the job market. This stark contrast highlights the capital's pivotal role in shaping the Data Science job market in Portugal, as illustrated in the accompanying chart.
The Data Science job market in Portugal prominently features a range of technologies that are critical for aspiring Data Science Engineers. Among these, Python stands out as the most utilized technology, appearing in 13,712 job postings, highlighting its pivotal role in data analysis and machine learning. Following Python, Java is also a significant player with 4,901 mentions, showcasing its applicability in large-scale data applications. Machine Learning technologies are in high demand, evidenced by 4,835 job listings, indicating a strong trend towards data-driven decision-making. SQL, with 4,796 occurrences, remains essential for database management, while AI technologies, appearing in 2,779 postings, underscore a growing focus on intelligent automation. To visualize these trends, please refer to the accompanying chart.
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