Data 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 Engineers job market in Switzerland has displayed fluctuations, with 123 new positions posted in week 18, followed by a decrease to just 10 openings in week 23. The closing rate reached 180 positions in week 19, highlighting a recruitment landscape that demands adaptation from hiring managers.
Currently, there are approximately 616 positions filled within 30 days, indicating a relatively swift hiring process for Data Engineers, while a median time to hire stands at 32 days. This variability suggests that recruitment strategies may need to be flexible to address hiring challenges effectively.
A notable concentration of opportunities exists in major urban centers, with Zurich accounting for around 64% of total job openings, followed by Bern at 16% and Geneva at 15%. This indicates where hiring managers should focus their recruitment efforts.
The distribution of Data Engineering roles shows that 42% are Mid-Senior level, thus revealing a robust pipeline for seasoned professionals while ensuring entry-level positions are available, which can aid in maintaining a healthy talent pool.
Top companies hiring Data Engineers in Switzerland include TieTalent, Rocken®, and yellowshark® AG, reflecting a competitive landscape within the tech sector and reinforcing the need for innovative recruitment strategies to attract qualified candidates.

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

The Data Engineers job market in Switzerland has exhibited notable fluctuations in recent weeks, with a peak of 123 new positions posted in week 18, followed by a sharp decline to just 10 openings in week 23. The total number of jobs closed has outpaced new job openings, culminating in a closing rate that reached a maximum of 180 in week 19. In comparison to other roles in Switzerland, such as Senior Data Developers, the downward trend suggests that recruitment strategies for CTOs in Switzerland's tech sector may need to adapt to align with the available talent pool. Consequently, there is an emerging need for effective recruitment strategies to attract Data Engineer candidates, particularly as hiring trends shift across Europe.

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 Engineers job market trends in Switzerland indicate a competitive landscape when juxtaposed with countries such as France, and Germany, and the Netherlands. Despite Switzerland's robust economy and high demand for Data Engineers, the ratio of job openings to the available talent pool suggests increasing challenges for hiring managers. For instance, with numerous job openings relative to the talent supply, the recruitment process for CTOs and hiring managers may become cumbersome. In comparison, Germany exhibits a more favorable jobs-to-talent ratio, potentially easing recruitment challenges, while France and the Netherlands show varying degrees of availability that can influence hiring strategies. Thus, the future demand for Data Engineers in Switzerland may necessitate more innovative recruitment strategies to attract top talent.

Seniority distribution of Data Engineer job openings in Switzerland

Seniority Distribution of Data Engineering Jobs in Switzerland

In the Swiss Data Engineering job market, the distribution of positions by seniority reveals significant insights for hiring managers. Currently, 42% of roles are categorized as Mid-Senior level, making it the predominant category. This is followed by 26% of positions designated as Entry level and 18% as Associate. Such a distribution indicates a robust pipeline for seasoned professionals while maintaining opportunities for newcomers in the field.

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment type distribution for engineering roles reveals a significant preference for full-time positions, comprising 93% of the total job market. Part-time roles account for 7%, while contract positions make up approximately 5% of employment opportunities. This distribution highlights the strong demand for stable, long-term employment among candidates in the tech sector, particularly Data Engineers.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire for Data jobs in Switzerland reflects significant variability, with a considerable concentration around specific time frames that hiring managers should recognize. Notably, the majority of candidates—approximately 616 positions—were filled within 30 days, indicating a relatively swift hiring process for Data Engineers. However, there is also a substantial segment, 338 candidates, that took between 15 to 20 days to hire, while hiring stretched beyond 30 days for 315 candidates, emphasizing the potential for longer recruitment cycles. Just under 500 positions were reported to take between 30 and 50 days, which may suggest a tightening talent pool in certain areas. For CTOs and recruiters navigating the Data job market in Switzerland, these insights can inform recruitment strategies and set realistic timelines for filling positions efficiently.

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Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In Switzerland's competitive job market for Data Engineers, Zurich stands out as the leading city, accounting for approximately 64% of the total job openings. The capital, Bern, follows with about 16%, while Geneva contributes around 15%. These statistics highlight the concentration of Data Engineer opportunities in key urban centers, as illustrated in the accompanying chart.

Most sought after technologies in Switzerland for Data

Key technologies for Data Engineers

In the evolving Data Engineer job market in Switzerland, certain technologies are becoming increasingly prevalent. Python emerges as the most utilized programming language, with a frequency of 9,379, underscoring its dominance in data processing and analysis. Following closely are SQL, used 8,634 times, and ETL (Extract, Transform, Load) technologies, with a frequency of 3,438, which are critical for data integration tasks. Furthermore, the integration of Machine Learning, noted for its frequency of 3,259, illustrates the trend towards advanced analytical capabilities. This data reflects the ongoing development within the tech sector and highlights essential tools for hiring managers seeking to attract top talent. For a visual representation of these insights, please refer to the accompanying chart.

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