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Data Science Developer Hiring Trends in Zurich, Switzerland

This report was last updated on Aug 16, 2025

Bence Gedai / Founder

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 trends in Switzerland, particularly in Zurich, reveal a dynamic landscape with notable fluctuations in job openings and closures over the past three months.
  • With a strong talent pool size, the Key technologies for Data Science Engineers highlight Python, Machine Learning, and SQL as essential skills, critical for hiring managers looking to attract top talent.
  • Currently, there are significant challenges in recruitment, with 92% of positions being full-time and a competitive hiring environment characterized by a notable median time to hire of 32 days for Data Engineers in Switzerland.
  • Top cities for Data Data Science Developer opportunities in Switzerland show Zurich leading with 67% of job postings, followed by Bern and Geneva, which emphasizes the need for targeted recruitment strategies in these hubs.
  • Hiring managers should also consider the seniority distribution, as 42% of roles are mid-senior level, indicating a substantial demand for experienced professionals while still allowing room for entry-level candidates.
Number of roles opened and closed for Data Science Engineers in Zurich in the last 3 months

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

In the past 12 weeks, the Data Data Science Engineer job market in Switzerland, particularly in Zurich, has shown fluctuating activity. A notable uptick can be observed in the number of jobs opened, peaking at 12 in week 28, compared to a modest opening of just 1 job in week 20. Despite this increase, the market has also witnessed a significant number of closed roles, peaking at 12 closures in week 31. This indicates a competitive recruitment landscape, where the demand for skilled Data Data Science professionals is on the rise, albeit with a high turnover rate. When comparing these figures to other European tech hubs, it is clear that Switzerland's Data Data Science job market remains robust, but hiring managers must refine their recruitment strategies to attract and retain top talent.

Who else is hiring for data Engineers in Switzerland:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 50
Microsoft logo Microsoft United States Information Technology & Services 1975 33
yellowshark® AG logo yellowshark® AG Switzerland Human Resources 2009 30
Rocken® logo Rocken® Switzerland Online Media 2020 18
Aveniq logo Aveniq Switzerland Information Technology & Services 2021 7
SKAN logo SKAN Switzerland Machinery 1969 6
Swisscom logo Swisscom Switzerland Information Technology & Services 1998 5
JobCourier logo JobCourier Switzerland Human Resources null 5
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 5
ti&m logo ti&m Switzerland Information Technology & Services 2005 5

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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 illustrates a competitive landscape for Data Data Science Engineers in Switzerland, with a notable ratio between job openings and the available talent pool. For instance, Switzerland has a higher demand reflected in numerous job openings compared to countries like Germany, France, and the Netherlands, where the talent supply is more abundant. This disparity in job openings relative to the talent pool suggests that hiring Data Science Engineers in Switzerland may be more challenging. As hiring managers and CTOs navigate the talent acquisition landscape, understanding these dynamics will be crucial for forming effective recruitment strategies in Switzerland's tech sector.

Seniority distribution of Data Science Engineer job openings in Zurich

Seniority Distribution of Data Science Engineering Jobs in Zurich

In the Data Data Science job market in Switzerland Zurich, the seniority distribution reveals that 42% of positions are at the Mid-Senior level, followed by 27% at the Entry level and 20% at the Associate level. This distribution highlights a significant demand for experienced professionals while also indicating opportunities for entry-level candidates, suggesting tailored recruitment strategies for hiring managers.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

In the Swiss engineering job market, full-time positions dominate, comprising approximately 92% of available roles. Part-time employment accounts for about 8%, while contract positions make up around 6%. This distribution underscores the strong preference for stable, full-time opportunities in the technology sector, particularly for roles such as Data Data Science Engineers in Zurich.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer positions in Switzerland, particularly in Zurich, reveals a significant variation in recruitment timelines. Notably, the majority of candidates (605) are hired within a 30-day period, indicating a swift recruitment process. However, as the time to hire extends beyond this threshold, we observe a gradual decline in candidate availability, with only 7 candidates hired after 100 days. This data underscores the importance for hiring managers, including CTOs and Engineering Managers, to implement effective recruitment strategies that account for the pressing demand in the Data Science job market in Switzerland, particularly Zurich, where timely hiring can be a competitive advantage.

Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In analyzing the location distribution for Data Data Science Engineer job openings in Switzerland, Zurich emerges as the predominant hub, accounting for 67% of the total job postings. Bern and Geneva follow as the second and third largest cities, contributing 17% and 16% of the opportunities, respectively. This significant concentration of roles in Zurich underscores its position as a key player in the Data Data Science job market in Switzerland.

Most sought after technologies in Zurich for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of the Data Data Science job market in Switzerland, particularly in Zurich, several technologies stand out due to their high usage rates among employers. Python, with a notable frequency of 5,846, emerges as the leading programming language, closely followed by Machine Learning at 3,002. SQL, essential for data manipulation and retrieval, ranks high with 2,078 mentions, while AI holds a significant position with 1,795. Additionally, the Data Science domain itself showcases a frequency of 1,671, highlighting its pivotal role in today's technology sector. For a detailed breakdown of these trends, please refer to the accompanying chart.

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