Data Science Developer Hiring Trends in Geneva, Switzerland

This report was last updated on Aug 10, 2025

Bence Gedai

Founder

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.

Key learnings from this report

The Data Data Science Engineers job market in Switzerland, particularly in Geneva, is characterized by a competitive landscape, reflected by a total of 12 new positions posted in the past 3 months amidst a significant closure of 7 roles in week 22.
Key technologies driving the demand for Data Data Science Engineers include Python, SQL, Machine Learning, Java, and AI, emphasizing the skills that hiring managers should prioritize in their recruitment efforts.
In terms of seniority, the role distribution shows a demand for experienced professionals, with mid-senior positions making up 37% of the market, while entry-level roles are limited to 11%, indicating recruitment challenges for those seeking Junior Data Science talent.
The top cities in Switzerland for hiring Data Engineers are led by Zurich, which accounts for 65% of openings, while Geneva and Bern follow, highlighting the need for localized recruitment strategies in these regions.
The hiring process remains a challenging endeavor, with a median time to hire for Data Engineers reported at 32 days and a tightening labor market indicating a pressing need for hiring managers to refine their strategies in order to secure top talent effectively.

Number of roles opened and closed for Data Science Engineers in Geneva in the last 3 months

Over the past 12 weeks, the Data Data Science Engineering job market in Switzerland, particularly in Geneva, has shown fluctuating dynamics. With a total of 12 new positions posted, a noticeable uptick occurred in weeks 28 and 31, where 3 and 4 jobs were respectively listed. However, in contrast, the closing rate has been significant, peaking at 7 job closures in week 22, indicating a competitive landscape for hiring managers. This disparity highlights the emerging trends in hiring Senior Data Data Science Developers in Switzerland Geneva compared to other roles in the region, and poses recruitment challenges not only for CTOs but also across Europe as similar trends emerge in the tech sector.

Who else is hiring for data Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	37
Microsoft	United States	Information Technology & Services	1975	33
yellowshark® AG	Switzerland	Human Resources	2009	23
Rocken®	Switzerland	Online Media	2020	18
TELUS Digital	Canada	Information Technology & Services	2005	8
Roche	Switzerland	Research	1896	7
Luxoft	Switzerland	Information Technology & Services	2000	7
Aveniq	Switzerland	Information Technology & Services	2021	6
SKAN	Switzerland	Machinery	1969	6
Swisscom	Switzerland	Information Technology & Services	1998	5

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Talent pool vs job openings for Data Engineers in Switzerland

How competitive it is to hire Data Engineers in Switzerland

The current data science engineer job market trends in Switzerland, Geneva indicate a compelling challenge for hiring managers. With a substantial number of job openings compared to the relatively smaller talent pool, the jobs-to-talent ratio suggests that it may be difficult to secure qualified candidates. For instance, countries like Germany and France exhibit a more favorable hiring landscape, with a higher number of available talent per job opening, making recruitment comparatively easier. In contrast, the UK also shows promising data science developer opportunities, but it does not alleviate the competitive pressure faced by Swiss employers. Consequently, for CTOs and engineering managers in Switzerland, focused recruitment strategies will be crucial to navigate the tightening labor market for data science engineers.

Seniority distribution of Data Science Engineer job openings in Geneva

Seniority Distribution of Data Science Engineering Jobs in Geneva

In the job market for Data Data Science Engineers in Switzerland, specifically Geneva, the distribution of seniority levels reveals a significant demand for experienced professionals. Mid-Senior level roles account for 37% of the positions, while Associate roles represent 28%. Entry-level opportunities, although fewer, constitute 11% of the job landscape, indicating a healthy influx of new talent into the tech sector.

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment landscape for Data Data Science Engineers prominently features full-time positions, accounting for 93% of the job market. Part-time roles constitute 8% while contract opportunities represent 6% of the total. This distribution underscores a solid preference for long-term employment, indicative of hiring trends in the tech sector, particularly in Geneva.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The hiring landscape for Data Science Engineers in Switzerland, particularly in Geneva, reveals significant insights into time to hire distributions. Notably, the majority of recruitment efforts observe a concentration within the 30 to 40-day range, which encompasses over 600 candidates hired within 30 days, followed closely by 346 candidates in the 15-day bracket. This suggests a robust demand for skilled Data Science professionals, as highlighted by the 239 and 173 counts in the 25-day and 40-day intervals, respectively. However, the gradual decline in hiring counts beyond the 40-day mark indicates an opportunity for hiring managers to refine their recruitment strategies aimed at attracting top talent efficiently. With a total of 3 hires reported with a zero days to hire, it is crucial for CTOs and engineering leaders to implement proactive recruitment strategies within the Switzerland Geneva tech sector to capitalize on the future demand for Data Science Engineers.

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Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In the Swiss job market for Data Science Engineers, Zurich leads with 65% of the total job openings, followed by Bern and Geneva at 16% and 15%, respectively. Notably, Geneva, as a vital hub, highlights the region's competitive landscape for Data Science opportunities. This data underscores the importance of Zurich in shaping recruitment strategies for hiring managers across Switzerland.

Most sought after technologies in Geneva for Data Science

Key technologies for Data Science Engineers

In the evolving landscape of the Data Data Science job market in Switzerland, particularly Geneva, several technologies stand out due to their frequency of usage among employers. Python leads the way with 6,766 mentions, underscoring its pivotal role in data science projects. Following closely, SQL is essential for data manipulation, reported 2,330 times. Machine Learning, a crucial component of modern data solutions, has been cited 3,188 times, highlighting its integration into new roles. Java, with 2,196 mentions, remains a foundational technology, while AI, recognized 1,962 times, demonstrates its growing importance. This data underscores the critical technologies that hiring managers should prioritize when evaluating candidates for Data Data Science Engineer positions. Please refer to the accompanying chart for a visual representation of these trends.

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