Data Engineer 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 Engineer job market in Switzerland has witnessed a total of 133 new positions posted in the last 12 weeks, with noted fluctuations and a concerning net decline due to 89 job closures.
Top hiring companies in Switzerland include TieTalent, Rocken®, and yellowshark® AG, underscoring a competitive recruitment landscape for Data Engineers.
Zurich is the leading city for Data Engineer job opportunities, accounting for 62% of vacancies, followed by Bern and Geneva at 15% and 14% respectively.
The current median time to hire for Data Engineers in Switzerland is 34 days, indicating a relatively swift recruitment process, although niche profiles may require extended efforts.
CTOs and hiring managers face challenges due to a scarcity of qualified candidates in a competitive job market, emphasizing the need for innovative recruitment strategies in the technology sector.

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

Over the past 12 weeks, the Data Data Engineer job market in Switzerland has exhibited noticeable fluctuations. During this timeframe, a total of 133 new positions were posted, with the peak number of openings occurring in week 24 at 23 roles. However, there has been a concerning trend in job closures, with a total of 89 positions closed across recent weeks, including a marked increase in week 28 where 20 roles were closed. This indicates a net decline in available Data Data Engineer positions, which stands in contrast to the overall hiring trends for software development roles across Europe, suggesting that CTOs and hiring managers may need to adjust their recruitment strategies to attract talent in this competitive environment.

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 job market in Switzerland presents a challenging landscape for hiring managers, particularly in the field of Data Engineers. With a notably high number of job openings compared to the size of the talent pool, the jobs-to-talent ratio indicates a scarcity of qualified candidates in Switzerland. For instance, while Switzerland competes with countries like Germany and France in terms of job opportunities, the talent supply is struggling to meet the demand. This trend is mirrored across Europe's technology landscape, where the competition for Data Engineers is intensifying, making recruitment strategies a critical concern for CTOs and HR professionals. Hence, without innovative hiring approaches, it may prove difficult to secure top Data Engineer talent in Switzerland.

Seniority distribution of Data Engineer Engineer job openings in Switzerland

Seniority Distribution of Data Engineer Engineering Jobs in Switzerland

In Switzerland's job market for Data Data Engineer roles, the seniority distribution reveals significant insights for hiring managers. Notably, 62% of positions are categorized as Mid-Senior level, followed by 33% at the Associate level and 29% at Entry level. This emphasizes the demand for experienced professionals while also indicating opportunities for those entering the field.

Preferred employment type for Engineering roles in Switzerland

In Switzerland's engineering sector, the employment type distribution reveals a significant preference for full-time roles, accounting for 93% of total positions. Part-time opportunities represent 7% of the market, while contract positions make up 5% of the available roles. These statistics highlight the predominantly full-time nature of engineering jobs, critical for hiring managers looking to navigate the data engineer job market in Switzerland.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire distribution for Data Engineer roles in Switzerland reveals critical insights for hiring managers navigating the competitive tech landscape. A significant 616 positions fall within the 30-day hiring window, indicating that many candidates are sourced in a relatively short timeframe. However, extended hiring durations are also prevalent, with 338 positions taking 15 days and 142 roles extending to 20 days. This variance suggests that while there is an abundance of candidates available quickly, certain niche profiles may necessitate longer recruitment efforts. With an understanding of these hiring trends, CTOs and engineering managers can tailor their recruitment strategies to attract top talent efficiently in Switzerland's dynamic Data Engineer job market.

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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 Engineer job openings reveals that Zurich leads the market, commanding 62% of the total opportunities. Following Zurich, Bern accounts for 15% of the openings, while Geneva contributes 14%. As the capital, Bern's presence underscores the significance of the tech sector in Federal City, making it a vital area for recruitment strategies aimed at attracting top Data Engineer talent.

Most sought after technologies in Switzerland for Data Engineer

Key technologies for Data Engineer Engineers

In the competitive landscape of the Data Data Engineer job market in Switzerland, certain technologies stand out as essential for candidates. Python and SQL are the most utilized languages, with frequencies of 1138 and 1148 respectively, showcasing their importance in Data Data Engineer job descriptions. Additionally, ETL processes, critical for data integration and preparation, are prevalent with a frequency of 512. Cloud technologies such as AWS and Azure are also at the forefront, indicating a shift towards cloud-based data solutions, with AWS leading at 267. The accompanying chart illustrates the frequency of these technologies, providing hiring managers and CTOs insight into the current skills landscape essential for Data Data Engineer roles.

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