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 job market for Data Data Engineer roles in Switzerland has displayed notable fluctuations in job postings, with a peak of 21 new postings in week 18 and a significant decline to just 2 postings by week 21. In comparison, the closure of such positions has remained sporadic, with only 16 jobs closed in the last reporting week, highlighting a growing gap between openings and closures. This indicates a potential tightening of the hiring landscape for Data Data Engineers, particularly against a backdrop of varying trends across Europe’s technology landscape, where demand for skilled engineers continues to rise.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
JobCourier | Switzerland | Human Resources | null | 24 |
|
TieTalent | Switzerland | Information Technology & Services | 2017 | 15 |
|
Deloitte | United States | Management Consulting | 1845 | 7 |
|
ti&m | Switzerland | Information Technology & Services | 2005 | 7 |
|
Swisscom | Switzerland | Information Technology & Services | 1998 | 6 |
|
Inventx AG | Switzerland | Information Technology & Services | 2010 | 5 |
|
Consult & Pepper AG | Switzerland | Staffing & Recruiting | 2001 | 5 |
|
|
Beltronic IT AG | null | null | null | 5 |
|
Sonio AG | Switzerland | Information Technology & Services | 1988 | 5 |
|
AEK AG | Switzerland | Information Technology & Services | 1995 | 5 |
The current landscape for Data Engineer roles reveals a competitive hiring environment in Switzerland. With a notable count of job openings, the talent pool size suggests a challenging recruitment scenario. In contrast, countries like Germany and France exhibit a more favorable ratios of job openings to available engineers, indicating somewhat easier hiring conditions. Conversely, the Netherlands showcases a tighter talent market, reminiscent of Switzerland's dynamics. Ultimately, hiring managers and CTOs in Switzerland should adjust their recruitment strategies in light of these trends, considering the pressing demand and limited supply of qualified Data Engineers.
In the Swiss job market for Data Data Engineer Engineering positions, the seniority distribution reveals notable trends. The Mid-Senior level constitutes 41% of available roles, indicating a strong demand for experienced professionals. Following this, Associate positions make up 22% of the market, while Entry level roles account for 19%. These figures underscore the need for tailored recruitment strategies to attract talent across varying experience levels.
In Switzerland's software development sector, the employment landscape reveals a strong preference for full-time positions, which constitute 93% of the roles available. Part-time employment represents 4% of the market, while contract positions account for 3%. These figures indicate a robust demand for stability in the hiring of Data Engineers, presenting opportunities for hiring managers to align their recruitment strategies with prevailing trends.
The time to hire distribution for Data Engineer roles in Switzerland presents critical insights for hiring managers navigating the competitive tech landscape. Notably, the highest concentration of hires occurs between 30 and 35 days, with 663 and 379 counts, respectively, indicating a preference for positions to be filled within a month. The data further reveals that approximately 62% of candidates are hired within 40 days, suggesting a streamlined recruitment process favored by organizations in Switzerland's evolving tech sector. Conversely, hiring beyond 60 days sees a marked decline in counts, emphasizing the need for effective recruitment strategies to capitalize on the swift demand for Data Engineers. The insights provided can aid CTOs and Engineering Managers in strategizing their hiring practices in alignment with current market trends.
The job market for Data Data Science Engineers in Estonia, particularly in Tallinn, shows significant volatility with a notable peak of 17 new positions recorded in week 13, followed by a rapid decline, underscoring challenges for hiring managers.
View ReportThe Data Data Engineer job market in Switzerland is currently experiencing a competitive landscape, with a significant talent pool size suggesting challenges for hiring managers.
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The Data Engineers job market trends in Romania, specifically in Brașov, reveal a fluctuating landscape, highlighting the need for targeted recruitment strategies for organizations in this region.
View ReportThe data indicates a significant concentration of Data Engineer job openings in Switzerland, with Zurich leading the way at 61% of the total opportunities. Following Zurich, Bern accounts for 15%, and Geneva comprises 15% as well. Notably, the capital, Bern, presents an important market for hiring Data Engineers, as showcased in the accompanying chart.
In the competitive landscape of the Data Data Engineer job market in Switzerland, several technologies stand out due to their high frequency of usage among professionals. SQL is the most prevalent skill, with 490 mentions, underscoring its foundational role in data manipulation and querying. Following closely are Python and Data Engineering, with frequencies of 463 and 266, respectively, indicating their vital importance in data processing and orchestration tasks. Other significant technologies include ETL (176), which is crucial for data integration, and Data Analysis (205), highlighting the analytical aspect of a Data Engineer's role. Additionally, cloud platforms like AWS (111) and Azure (80) are increasingly essential, reflecting the shift toward cloud-based data solutions. This data, visualized in the accompanying chart, reveals the pivotal technologies that hiring managers should consider when evaluating candidates for Data Data Engineer roles in Switzerland.
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