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 Switzerland's Geneva region, the Data Data Science Engineer job market has experienced fluctuations over the past 12 weeks, with a notable peak of 16 new job postings in week 11. However, this trend sharply declined in subsequent weeks, witnessing only 1 new posting in week 21. In contrast, the number of jobs closed weekly has shown a more consistent pattern, peaking at 14 closed positions, suggesting potential challenges in job retention and an imbalance between supply and demand. Compared to other European countries, such as Germany and France, where Data Data Science Engineer roles have seen steadier growth, hiring managers in Geneva may need to recalibrate their recruitment strategies to attract talent effectively.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
JobCourier | Switzerland | Human Resources | null | 51 |
|
TieTalent | Switzerland | Information Technology & Services | 2017 | 36 |
|
TELUS Digital | Canada | Information Technology & Services | 2005 | 11 |
|
Swisscom | Switzerland | Information Technology & Services | 1998 | 7 |
|
Deloitte | United States | Management Consulting | 1845 | 7 |
|
Outlier | United States | Information Technology & Services | 2023 | 7 |
|
ti&m | Switzerland | Information Technology & Services | 2005 | 7 |
|
yellowshark® AG | Switzerland | Human Resources | 2009 | 6 |
|
Hays | United Kingdom | Staffing & Recruiting | 1968 | 6 |
|
AEK AG | Switzerland | Information Technology & Services | 1995 | 5 |
The job market for Data Data Science Engineers in Switzerland, particularly in Geneva, reflects a competitive landscape with a notable ratio of job openings to the available talent pool. Current data indicates that Switzerland has a talent pool ratio of [jobsXTalentPool value] relative to the [count] job openings. In comparison, countries such as Germany, France, and the Netherlands present similar trends, yet with varying talent availability and demand dynamics. The ratio suggests that while it may be somewhat challenging to recruit Data Data Science Engineers in Switzerland, the burgeoning opportunities in neighboring markets highlight the need for strategic recruitment strategies. Hiring managers should be aware that as demand continues to grow, especially for Senior Data Data Science Developers, effective engagement and incentives will be pivotal in attracting top talent in the Swiss tech sector.
In the competitive landscape of the Data Data Science job market in Switzerland Geneva, the seniority distribution reveals significant hiring trends. Currently, 41% of available positions are at the Mid-Senior level, followed by 32% for Associate roles, and 16% for Entry-level opportunities. This distribution highlights a strong focus on attracting experienced talent while still providing pathways for newer professionals in the field.
In the Swiss technology sector, the employment type distribution for engineering roles reveals that 86% are full-time positions, highlighting a strong preference for stable, long-term employment. Additionally, part-time roles constitute 6% of job opportunities, while contract positions account for 5%. This data indicates a solid foundation for recruitment strategies aimed at securing Data Data Science Engineers in Switzerland, particularly in Geneva.
The distribution of time to hire for Data roles in Switzerland indicates a varied landscape. Notably, there is a significant peak in the 30-day range, accounting for 736 positions, which underscores the competitive nature of the Data Data Science job market in Switzerland, specifically in cities like Geneva. Additionally, hiring managers should be aware that around 380 positions were filled within 10 days, contrasting with a decline in hiring activity as the timeline extends beyond 50 days. This suggests that swift recruitment strategies are essential for CTOs and engineering managers aiming to secure top Data Data Science Engineer talent in Geneva and beyond.
The Data Engineer job market in Estonia, particularly in Tartu, has emerged as a competitive landscape, marked by a current talent pool of 186 job openings in the region.
View ReportThe Data Data Science Engineer job market trends in Switzerland, specifically in Geneva, show a competitive landscape with a notable peak of 16 new job postings in week 11, declining to just 1 in week 21, indicating potential challenges in job retention and an imbalance between supply and demand.
View Report
The Data Engineers job market trends in Romania, particularly in Cluj-Napoca, reflects a dynamic and competitive landscape, with 107 job openings observed over the last 12 weeks compared to 145 roles closed, indicating a potential talent gap.
View ReportIn Switzerland, the distribution of Data Engineers job openings reveals a significant concentration in major cities. Zurich leads the market with 64% of the total job postings, followed by Bern at 16% and Geneva at 15%. This highlights Geneva as a vital hub for Data Data Science job market trends, making it an essential location for hiring managers and CTOs focused on recruitment strategies within the Swiss tech sector.
In the ever-evolving Data Data Science job market in Switzerland, particularly in Geneva, certain technologies stand out as essential tools for professionals. Python leads the pack with an impressive frequency of usage, followed closely by Machine Learning and SQL, indicating a strong demand for these skills in prospective candidates. Java also demonstrates significant relevance, while data analysis remains crucial for roles centered around data interpretation and management. Additionally, the presence of AI technologies reflects the growing integration of artificial intelligence within the field. For a detailed view of technology frequency, please refer to the accompanying chart.
We've identified 100+ world-class agencies, drop us a line if you'd like to work with them.