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.
The Data Engineer job market in France has exhibited notable fluctuations over the past 12 weeks, with a peak of 227 new job postings in week 21. This spike highlights the increasing demand for Data Developers in the region. However, during the same period, job closures reached a high of 138 in week 17, indicating a competitive landscape. When compared to other roles in the tech industry, Data Engineering positions are emerging as a focal point, suggesting that hiring managers should consider targeted recruitment strategies to attract top talent in this growing segment.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
TieTalent | Switzerland | Information Technology & Services | 2017 | 16 |
|
Canonical | United Kingdom | Information Technology & Services | 2004 | 14 |
|
Thales | France | Information Technology & Services | 1893 | 10 |
|
|
Talan - France | null | null | null | 8 |
|
Talan | France | Information Technology & Services | 2002 | 7 |
|
SFEIR | France | Information Technology & Services | 1985 | 6 |
|
|
Niji | France | Information Technology & Services | 2001 | 6 |
|
STATION F | France | Information Technology & Services | 2017 | 5 |
|
Astek | France | Information Technology & Services | 1988 | 4 |
|
|
maltem Paris | France | Management Consulting | 2001 | 4 |
The talent market for Data Engineers in France exhibits a notable balance between job openings and the available talent pool. With a considerable number of job openings relative to the size of the talent pool, France faces a moderately challenging recruitment landscape. In comparison, countries such as Germany and the Netherlands display a tighter ratio, indicating greater competition for qualified candidates. Conversely, Poland showcases a larger talent pool relative to job openings, thereby easing the hiring pressure for companies in need of skilled Data Engineers. Overall, while opportunities abound, hiring managers are advised to adopt targeted recruitment strategies to secure top talent in France's tech sector.
In the French data engineering job market, the seniority distribution reveals notable trends that are crucial for hiring managers. Approximately 48% of positions are categorized as Mid-Senior level, while Entry level roles account for about 30% and Associate positions follow closely with around 29%. These percentages highlight the competitive landscape for Data Engineers in France, underscoring the growing demand for experienced talent in this sector.
In the French job market for engineering roles, the distribution of employment types reveals significant insights for hiring managers. Full-time positions dominate, accounting for 94% of opportunities, followed by internships at 5% and contract roles at 5%. Understanding this employment type landscape is crucial for CTOs and engineering managers seeking to attract talent in the competitive Data Engineers job market trends in France.
The data reveals a nuanced landscape for the Data Engineers job market trends in France, indicating varying time to hire distributions. Notably, the highest demand clusters around the 30-day mark, with 331 instances recorded, suggesting that Data Engineer roles are frequently filled within this timeframe. However, hiring managers should also be aware that substantial counts exist for time to hire durations extending up to 35 days (180 counts) and beyond, reflecting the emerging trends in Data Programmer hiring across Europe. It is crucial for CTOs and Engineering Managers to tailor their recruitment strategies accordingly, capitalizing on the high volume of hires around the 25 to 30-day range while remaining prepared for potential delays in the process.
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.
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The 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 location distribution for Data Engineer job openings in France reveals a significant concentration in Paris, which accounts for 76% of the total opportunities. Following Paris, Lyon and Lille contribute 11% and 10% respectively, indicating a strong emphasis on the capital in the Data job market in France. The distribution chart below visually represents these trends, highlighting the dominance of Paris as the primary hub for Data Engineer opportunities.
In the evolving data job market in France, several technologies have emerged as crucial for Data Engineers. Notably, Python leads the field with a frequency of 10,248, underscoring its importance in data manipulation and analysis. Following closely, SQL demonstrates significant relevance with a frequency of 9,180, highlighting its necessity for database management. Other technologies such as ETL, Machine Learning, and Data Engineering also play vital roles, with frequencies of 3,610, 3,416, and 3,852, respectively. This data suggests a robust demand for professionals skilled in these technologies, pointing to a key focus area for recruitment strategies in France's tech sector. For further insights, please refer to the accompanying chart that illustrates these usage frequencies.
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