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 past 12 weeks, the Data Engineer job market in Lisbon has demonstrated a fluctuating pattern, with a notable peak in openings at 32 positions during week 24. Conversely, the closure rate of Data Developer roles has been significant, particularly in weeks 16 through 24, indicating a challenging recruitment environment. The weekly job openings have totaled 277 against 380 closures, highlighting an imbalance in demand and supply for data talent. Compared to other tech roles in Lisbon, Data Engineering consistently shows both opportunity and competition, suggesting that hiring managers should refine their recruitment strategies to attract top candidates amid a tightening market.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Escola Superior de Biotecnologia da Universidade Católica Portuguesa | null | null | null | 29 |
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Decskill | Portugal | Information Technology & Services | 2014 | 20 |
|
Adentis Portugal | Portugal | Information Technology & Services | 2016 | 9 |
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PrimeIT | Portugal | Information Technology & Services | 2006 | 9 |
|
|
Match Profiler | Portugal | Information Technology & Services | 1999 | 7 |
|
Inetum | France | Information Technology & Services | 1970 | 6 |
|
Affinity | Portugal | Information Technology & Services | 2012 | 6 |
|
Revolut | United Kingdom | Financial Services | 2015 | 5 |
|
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Ankix | Portugal | Information Technology & Services | 1999 | 5 |
|
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Sysmatch | Portugal | Information Technology & Services | 1999 | 5 |
The talent market for Data Engineers in Europe showcases varying dynamics, particularly when examining Portugal in contrast with countries like Germany, the Netherlands, and Spain. In Portugal, the ratio of available talent to job openings indicates a competitive market; with a significant number of job openings compared to the available talent pool, hiring managers may find the process more challenging. This trend is reflective across various European nations, where Germany and the Netherlands exhibit a similar tight hiring landscape for Data Engineers. As such, recruitment strategies for CTOs in Portugal Lisbon's tech sector should be geared towards attracting and retaining top Data Engineer candidates.
In the Data Engineers job market trends in Portugal Lisbon, the seniority distribution indicates a strong demand for Mid-Senior level professionals, comprising 71% of job listings. Entry level positions account for 18% of the total, while Associate roles represent 8%. This distribution highlights the need for hiring managers to focus on attracting mid-level talent to meet the growing demand for Data Developer opportunities in Portugal Lisbon.
In the current landscape of the Portuguese engineering job market, a significant 94% of positions are classified as full-time, indicating a strong preference for stable employment among candidates. Meanwhile, contract roles represent 6% of the market, highlighting a moderate, yet noteworthy, demand for flexible work arrangements. Part-time and internship positions are less common, comprising only 2% and less than 1% of the employment distribution, respectively.
The time to hire distribution for Data Engineer positions in Portugal reveals critical insights for hiring managers navigating the job market in Lisbon. A notable 238 candidates were hired within 30 days, illustrating a competitive recruitment landscape. However, hiring managers should prepare for potential delays, as 135 candidates took up to 35 days to secure a role, and a significant 84 candidates required 40 days or more. This trend underscores the importance for CTOs and recruiting leads in Lisbon's tech sector to implement efficient recruitment strategies to attract top Data talent swiftly. As the demand for Data Engineers continues to rise, understanding these hiring timelines becomes essential for effective workforce planning in the future.
The Data Data Science job market in Estonia has shown significant activity in recent months, with fluctuations in job openings that reached a peak of 9 positions in week 20, followed by a decline to just 1 opening in week 23. This trend indicates a tightening labor market, suggesting that hiring managers may find it increasingly competitive to secure top talent.
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The Data Engineer job market in Uppsala, Sweden, has shown dynamic activity over the past three months, with 19 new roles posted while 22 positions were closed, indicating a competitive environment.
View ReportThe Data Engineers job market trends in Portugal, particularly in Lisbon, exhibit a competitive landscape with 1,161 job openings predominately in the capital, representing 89% of opportunities across the country.
View ReportThe data reveals that Lisbon dominates the job market for Data Engineers in Portugal, accounting for 89% of the total openings, with 1,161 positions available. Porto follows as the second-largest city, contributing 9% of the job count with 343 openings. Other locations, including Lisboa and remote opportunities, make up a small fraction, emphasizing the concentration of Data Engineer roles in Lisbon, the capital, as showcased in the accompanying chart.
In the evolving data job market of Portugal, particularly in Lisbon, certain technologies have emerged as crucial for Data Engineers. The most frequently utilized technology is Python, with a notable frequency of 10,248, underscoring its dominance in data development roles. SQL follows closely with 9,180 occurrences, highlighting the enduring importance of structured query language in data management. Additionally, ETL (Extract, Transform, Load) processes are significant, appearing 3,610 times, which reflects the necessity for effective data pipeline management. Other impactful technologies include Machine Learning with 3,416 mentions and Data Engineering itself, noted 3,852 times. This trend data, illustrated in the accompanying chart, provides actionable insights for hiring managers as they strategize about Data Engineer recruitment in Lisbon's competitive tech landscape.
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