Data Developer Hiring Trends in Zug, 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 trends in Switzerland, specifically in Zug, reveal a total talent pool of 4,000 candidates amidst 1,200 active job openings, leading to a competitive hiring environment with a talent-to-job ratio of 3.33.
Over the last 12 weeks, the market has shown volatility, with 12 new Data Engineer positions posted and 23 job closures, indicating that hiring managers must implement tailored recruitment strategies to attract top talent in Zug's tech sector.
Top companies driving demand for Data Engineers in Zug include TieTalent (38 openings), Rocken® (20 openings), and yellowshark® AG (18 openings), presenting strategic insights for recruitment focused on these leading firms.
The median time to hire for Data Engineers in Switzerland is 32 days, with a significant majority of candidates hired within a 30 to 40-day period, emphasizing the need for efficient recruitment processes to maintain competitiveness.
Full-time positions dominate the Data Engineering landscape in Switzerland, comprising 93% of job offerings, signaling a preference for stable employment among candidates which should be a consideration for hiring strategies.

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

The Data Engineers job market in Switzerland Zug has displayed a fluctuating trend over the last 12 weeks, with a total of 12 new positions posted and a notable 23 job closures. This disparity indicates a challenging environment for hiring, as the recruitment landscape for Data Developers appears competitive. In comparison to other roles in Zug, the demand for Data Engineers shows significant volatility, implying that hiring managers should adopt targeted recruitment strategies tailored for Switzerland Zug's tech sector. Furthermore, examining the trends in hiring Senior Data Developers across other European countries may reveal insights into recruitment strategies for CTOs aiming to attract top talent.

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 Zug reflect a competitive landscape compared to other European countries. With a current job opening count of 1,200 and an available talent pool of 4,000, the ratio of talent pool to job openings stands at 3.33, indicating that while hiring is feasible, it remains competitive due to the limited talent supply. In contrast, countries like Germany, with a talent pool of 10,000 for 3,500 job openings, and the Netherlands, exhibiting a talent-to-job ratio of 2.5, highlight the varying demand and supply dynamics within Europe. Additionally, France's ratio of 4.0 offers a slightly easier hiring environment, suggesting that recruitment strategies for CTOs in Switzerland Zug's tech sector should be innovative and focused on attracting available talent. As trends in hiring Senior Data Developers in Switzerland Zug evolve, businesses should be prepared to navigate the ongoing challenges of securing skilled Data Engineers.

Seniority distribution of Data Engineer job openings in Zug

Seniority Distribution of Data Engineering Jobs in Zug

In Switzerland Zug, the Data Engineering job market exhibits a notable distribution of seniority levels. The Mid-Senior level constitutes 50% of the available positions, followed by Entry level at 31%, and Associate roles making up 14%. This data underscores the prevalent demand for experienced Data Engineers, which is crucial for hiring managers looking to align their recruitment strategies with market trends in the region.

Preferred employment type for Engineering roles in Switzerland

In the Swiss engineering job market, particularly for Data Engineering roles, full-time positions dominate the landscape, comprising 93% of total job offerings. Part-time roles make up 4%, while contract positions account for 3%. This distribution indicates a strong preference for stable, long-term employment among candidates in the tech sector.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire for Data Engineer positions in Switzerland, particularly in Zug, showcases a distinct distribution pattern. A significant majority of candidates, approximately 56%, are hired within a 30 to 40-day timeframe, indicating a competitive and efficient recruitment environment. Moreover, 34% of hires take between 15 to 30 days, while 21% experience longer hiring cycles exceeding 40 days. This data underscores the importance for CTOs and hiring managers to refine their recruitment strategies, as understanding these timeframes can influence workforce planning and operational efficiency in the fast-evolving tech sector.

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Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In Switzerland, Zug presents a competitive landscape for Data Engineers, with Zurich leading the job market at 63% of the total openings, followed by Bern at 15% and Geneva at 14%. This distribution highlights Zurich as a pivotal location for Data Engineer roles, making it essential for hiring managers to focus their recruitment strategies accordingly. For an in-depth analysis, please refer to the accompanying chart.

Most sought after technologies in Zug for Data

Key technologies for Data Engineers

In the dynamic data job market of Switzerland, particularly in Zug, certain technologies are proving to be essential for Data roles. The most frequently utilized technology is Python, with an impressive frequency count of 9,379. This is closely followed by SQL, which stands at 8,634. Data Engineering itself is also a critical area, coming in at 3,852. Additionally, machine learning (3,259) and ETL processes (3,438) highlight the demand for advanced data handling and analysis capabilities. For a visual representation of these technologies' usage, please refer to the accompanying chart.

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