Data Science Developer Hiring Trends in Switzerland

This report was last updated on Jul 27, 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 is currently characterized by notable fluctuations, with a peak of 39 job openings observed in week 28, indicating strong demand.
Zurich stands out as the primary city for Data Data Science Engineer recruitment, accounting for 66% of vacancies, followed by Bern and Geneva, highlighting the market's geographic concentration.
A significant majority of Data Data Science Engineer positions, 93%, are offered as full-time roles, reflecting the stable demand for skilled professionals in the Swiss tech sector.
The hiring landscape is relatively competitive, with a median time to hire of 32 days, though 54% of candidates were hired within 30 to 50 days, suggesting a need for swift recruitment strategies.
In terms of seniority distribution, mid-senior level roles are predominant, representing 44% of openings, which indicates a dynamic landscape that hiring managers must navigate to attract top-tier talent.

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

Over the past 12 weeks, the job market for Data Data Science Engineers in Switzerland has displayed notable fluctuations. The number of new job openings peaked in week 28 with 39 positions, signifying a robust demand following a previous dip to just 2 new jobs in weeks 22 and 23. Conversely, the closure rate showcased a steady increase, with 68 jobs closed in week 20, highlighting the ongoing churn in the labor market. Compared to other roles in Switzerland and across Europe, the volatility in the Data Data Science sector signals both opportunities and challenges for hiring managers, necessitating strategic recruitment efforts to attract top talent amidst these trends.

Who else is hiring for data Engineers in Switzerland:

Company name	Country	Industry	Founded	# Job openings
TieTalent	Switzerland	Information Technology & Services	2017	38
Rocken®	Switzerland	Online Media	2020	20
yellowshark® AG	Switzerland	Human Resources	2009	18
JobCourier	Switzerland	Human Resources	null	15
Roche	Switzerland	Research	1896	7
Luxoft	Switzerland	Information Technology & Services	2000	6
ti&m	Switzerland	Information Technology & Services	2005	6
UBS	Switzerland	Financial Services	1862	5
SKAN	Switzerland	Machinery	1969	4
Axpo Group	Switzerland	Utilities	1914	4

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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 Data Data Science Engineers job market in Switzerland presents a unique challenge for hiring managers. With a count of X job openings against a talent pool of Y, the ratio indicates a difficult landscape for recruitment, reflecting a jobs-to-talent pool ratio of Z. In comparison, countries such as Germany, France, and The Netherlands show a more favorable balance, with lower ratios suggesting easier hiring conditions. As the future demand for Data Data Science Engineers grows, CTOs and hiring managers must carefully consider their recruitment strategies in Switzerland's competitive tech sector. Understanding these dynamics is essential for identifying suitable Data Data Science Developer opportunities in Switzerland.

Seniority distribution of Data Science Engineer job openings in Switzerland

Seniority Distribution of Data Science Engineering Jobs in Switzerland

In Switzerland's Data Data Science job market, the seniority distribution reveals significant insights for hiring managers. Mid-Senior level positions dominate at 44%, followed by Entry level roles at 31%. Associate positions account for 23%, highlighting a competitive landscape for Data Data Science Engineers in the region.

Preferred employment type for Engineering roles in Switzerland

In the Swiss job market for engineering roles, a significant majority of positions are full-time, accounting for 93% of the total employment types. Part-time roles represent a smaller segment at 7%, while contract positions constitute approximately 5% of the employment landscape. This distribution highlights the strong preference for full-time engagements, suggesting a stable demand for skilled Data Data Science Engineers in Switzerland.

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 reveals notable trends in the time to hire, critical for hiring managers in the tech sector. A significant majority, comprising 54% of candidates, were hired within 30 to 50 days, with a peak at 30 days where 616 instances were recorded. Additionally, 20% of hires fell within the 15 to 25 day range, indicating an efficient recruitment process in this competitive field. However, the distribution shows that nearly 10% of positions took over 100 days to fill, emphasizing the challenges involved in sourcing top talent. Understanding these hiring patterns is essential for CTOs and Engineering Managers to refine their recruitment strategies and stay aligned with market trends.

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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 distribution of Data Data Science Engineer job openings highlights Zurich as the predominant hub, accounting for 66% of the total vacancies with 1,984 positions. Following Zurich, Bern represents 17% with 503 openings, while Geneva contributes 16% with 488 roles available. This data indicates a concentrated market for Data Data Science professionals in Zurich, the capital of Switzerland, making it a focal point for recruitment strategies aimed at sourcing top talent.

Most sought after technologies in Switzerland for Data Science

Key technologies for Data Science Engineers

In the competitive Data Data Science job market in Switzerland, several key technologies are crucial for professionals seeking opportunities. Python emerges as the most prevalent technology, with a frequency of 7,115, highlighting its essential role in data manipulation and analysis. Following closely are SQL and Machine Learning, with frequencies of 2,398 and 3,259 respectively, reflecting their importance in data handling and predictive analytics. Additionally, Java, AI, and Data Science technologies maintain significant presence, boasting frequencies of 2,328, 1,957, and 1,735 respectively. This chart illustrates these trends and underscores the critical roles these technologies play in shaping hiring decisions for Data Data Science Engineers across the Swiss tech sector.

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