Data Science Developer Hiring Trends in Geneva, Switzerland

This report was last updated on Sep 7, 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 Engineer job market trends in Switzerland, particularly in Geneva, reveal a current total of 16 new roles and 15 closed positions over the last 12 weeks, leading to a modest net increase of only one role during this period.
The top three companies actively hiring Data Data Science Engineers in Switzerland are TieTalent, Rocken®, and yellowshark® AG, indicating a diverse landscape of opportunities across various sectors.
Geneva's job market shows a strong preference for mid-senior level roles, with 45% of vacancies falling within this category, necessitating refined recruitment strategies for hiring managers seeking experienced talent.
In terms of geographic distribution, Zürich dominates the market for Data Engineers, representing 53% of the total job postings, followed by Bern at 13%, with Geneva itself accounting for 12% of vacancies.
Despite a competitive environment characterized by a notable median time to hire of 32 days, the predominantly full-time employment type (93%) emphasizes the strong demand for committed professionals in Switzerland's tech sector.

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

In the last 12 weeks, the Data Data Science Engineer job market in Switzerland Geneva has exhibited a fluctuating trend. A total of 16 new roles were posted, with a peak of 5 openings in week 31, while the number of closed positions reached 15, culminating in a net increase of just one role. This contrasts with other European regions, where hiring trends for Data Science positions often showcase a more stable influx of new postings. Hiring managers in Switzerland Geneva should consider these dynamics while strategizing for potential roles, as the recruitment landscape reveals spikes in demand juxtaposed with a significant volume of closed positions, indicating competition for talent in this niche sector.

Who else is hiring for data Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	82
Rocken®	Switzerland	Online Media	2020	48
yellowshark® AG	Switzerland	Human Resources	2009	48
TELUS Digital	Canada	Information Technology & Services	2005	26
Microsoft	United States	Information Technology & Services	1975	12
NVIDIA	United States	Computer Hardware	1993	8
JobCourier	Switzerland	Human Resources	null	7
Deloitte	United States	Management Consulting	1845	7
Hays	United Kingdom	Staffing & Recruiting	1968	7
Swisscom	Switzerland	Information Technology & Services	1998	6

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Talent pool vs job openings for Data Engineers in Switzerland

How competitive it is to hire Data Engineers in Switzerland

In the competitive landscape of the Data Data Science Engineers job market in Switzerland, specifically Geneva, hiring managers should note the current ratio of job openings to the available talent pool. With a number of relevant job openings in Switzerland and a comparatively smaller talent pool, the hiring environment becomes challenging. This trend mirrors observations in other European countries, such as Germany and the Netherlands, where the ratio of job openings to available talent similarly indicates increased competition for skilled professionals. Conversely, a country like Poland has a larger talent pool relative to its job openings, suggesting a more favorable hiring climate for recruiters. Accordingly, the demand for Data Science Engineers in Switzerland may necessitate refined recruitment strategies, particularly for CTOs and Engineering Managers aiming to secure top talent.

Seniority distribution of Data Science Engineer job openings in Geneva

Seniority Distribution of Data Science Engineering Jobs in Geneva

In the competitive Data Data Science Engineers job market in Switzerland, particularly in Geneva, the seniority distribution reveals key insights for hiring managers. Currently, 45% of available roles are at the Mid-Senior level, followed by 27% at the Associate level, and 13% at Entry level. This distribution highlights the growing preference for experienced professionals, making it imperative for CTOs and Engineering Managers to adapt their recruitment strategies to attract top talent in this dynamic sector.

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment type distribution for engineering roles is predominantly full-time, accounting for 93% of the job market. Part-time positions represent 7%, while contract roles make up a smaller fraction at 5%. These figures highlight the strong preference for full-time employment among hiring managers in the Swiss tech sector.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire distribution for Data positions in Switzerland reveals significant insights into the hiring landscape. A considerable segment, specifically 324 instances, reflects a hiring timeline of approximately 10 days, indicating a commonly sought timeframe for recruitment. Notably, 538 positions were filled within 30 days, underscoring the competitive nature of the job market. Meanwhile, the number of hires extending beyond the 60-day mark, although smaller, still accounts for 280 counts, suggesting that timely recruitment strategies could be pivotal for CTOs and hiring managers in Switzerland. Understanding these dynamics can be invaluable for devising effective recruitment strategies tailored to the unique demands of the Data Science job market in Sweden Geneva.

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Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In Switzerland, the location distribution for Data Engineers job openings highlights Zürich as the dominant city, accounting for 53% of the total job postings. Bern follows with 13%, while Geneva, the capital, comprises 12% of the job market. This data is visually represented in the accompanying chart, emphasizing the significant concentration of opportunities in these key urban centers.

Most sought after technologies in Geneva for Data Science

Key technologies for Data Science Engineers

In the context of the Data Data Science job market in Switzerland, particularly in Geneva, there are several key technologies that are prevalent among professionals. Python remains the leader with a frequency of 5,169, indicative of its critical role in data manipulation and analysis. Following closely are Machine Learning and SQL, with frequencies of 2,883 and 1,822 respectively, highlighting their significance in predictive analytics and database management. Furthermore, Data Science itself is a major keyword, registering a frequency of 1,631, which underscores its centrality to the discipline. Other notable technologies include Java, .NET, and JavaScript, with frequencies of 1,337, 1,250, and 875 respectively, as showcased in the accompanying chart.

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