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Data Science Developer Hiring Trends in Bern, Switzerland

This report was last updated on Aug 3, 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 job market for Data Data Science Engineers in Bern, Switzerland has seen 16 new positions opened over the past 12 weeks, contrasting with the closure of 22 jobs, indicating a competitive landscape where demand exceeds available talent.
  • Top companies actively hiring Data Science Engineers in Bern include TieTalent (34 positions), yellowshark® AG (23 positions), and Rocken® (18 positions), highlighting the active role of these organizations in sourcing skilled professionals.
  • A significant 93% of engineering roles in the Swiss job market are full-time positions, emphasizing a strong preference for stability among candidates, which should inform recruitment strategies in the tech sector.
  • The seniority distribution reveals that 33% of Data Science positions in Bern are entry-level, which presents a robust pipeline for building talent, while 29% are mid-senior level, indicating opportunities for both nurturing and recruiting experienced candidates.
  • The current median time to hire for Data Science Engineers in Switzerland is 32 days, suggesting that hiring managers should adopt proactive recruitment strategies to secure top talent swiftly in this fast-paced market.
Number of roles opened and closed for Data Science Engineers in Bern in the last 3 months

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

In the past 12 weeks, the job market for Data Data Science Engineers in Bern, Switzerland has exhibited notable fluctuations. A total of 16 new positions were posted, with the most significant activity occurring in weeks 19, 20, and 26. However, this surge contrasts sharply with the 22 jobs that were closed during the same period, indicating a challenging hiring landscape where demand currently outstrips the available talent. Compared to other technology roles in Bern, such as software development, the Data Data Science Engineer market experiences a relatively higher turnover, revealing the intense competition for skilled professionals. Hiring managers should consider these dynamics when formulating recruitment strategies in this competitive sector.

Who else is hiring for data Engineers in Switzerland:

Company name Country Industry Founded # Job openings
TieTalent logo TieTalent Switzerland Information Technology & Services 2017 34
yellowshark® AG logo yellowshark® AG Switzerland Human Resources 2009 23
Rocken® logo Rocken® Switzerland Online Media 2020 18
JobCourier logo JobCourier Switzerland Human Resources null 16
TELUS Digital logo TELUS Digital Canada Information Technology & Services 2005 8
Swisscom logo Swisscom Switzerland Information Technology & Services 1998 6
Aveniq logo Aveniq Switzerland Information Technology & Services 2021 6
Roche logo Roche Switzerland Research 1896 6
SKAN logo SKAN Switzerland Machinery 1969 6
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 job market for Data Science Engineers in Germany and the Netherlands has similarities with that of Switzerland, particularly in Bern, reflecting a competitive landscape when compared to other European countries. Switzerland boasts a job openings count of X, juxtaposed with a talent pool of Y, resulting in a jobs-to-talent pool ratio of Z. In contrast, Germany and the Netherlands have similar job openings but a comparatively larger talent pool, making recruitment in these regions slightly more favorable. Meanwhile, countries like France show a stronger demand relative to their talent availability. This indicates that for hiring managers and CTOs in Switzerland Bern's tech sector, attracting skilled Data Science Engineers may prove challenging, necessitating innovative recruitment strategies to ensure access to top talent in a competitive market.

Seniority distribution of Data Science Engineer job openings in Bern

Seniority Distribution of Data Science Engineering Jobs in Bern

The seniority distribution for Data Data Science Engineering positions in Switzerland Bern reveals that 33% of roles are classified as Entry level, while 31% are categorized as Internship. Meanwhile, Mid-Senior level positions account for 29% of the job market. This distribution highlights the prevalence of entry-level opportunities, which may guide hiring managers in shaping their recruitment strategies.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

The employment landscape for engineering roles in Switzerland reveals that full-time positions dominate the market, accounting for 93% of the total job offerings. Part-time opportunities follow at 7%, while contract roles represent a smaller segment at 6%. This distribution emphasizes the preference for stable, long-term employment in the tech sector, particularly beneficial for hiring managers looking to attract and retain talent.

Time to Hire Distribution for Data in Switzerland

How long does it take to hire Data Engineers

The time to hire distribution for Data Science roles in Switzerland presents a significant overview of current market dynamics. Notably, the majority of hires fall between 10 to 30 days, with the highest count at 626 for a 30-day hiring period. A total of 354 positions were filled within 15 days, reflecting a robust pipeline for immediate talent acquisition. However, trends indicate that hiring beyond 40 days begins to decrease substantially, with only 4 positions hired at the 100-day mark. For hiring managers in Bern and across Switzerland, this data elucidates the urgency required in recruitment strategies for Data Science positions.

Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In Switzerland, the job market for Data Science Engineers demonstrates significant location distribution, with Zurich leading at 49% of job openings. Bern, the capital city, accounts for 12% of these positions, closely followed by Geneva at 12%. This data highlights the importance of Bern as a pivotal city for Data Science job opportunities, as illustrated in the accompanying chart.

Most sought after technologies in Bern for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of Data Data Science jobs in Switzerland, particularly in Bern, certain technologies stand out due to their prevalence. The highest frequency of usage is attributed to Python, which is utilized in 6,992 positions, followed closely by Machine Learning at 3,204. SQL remains essential, appearing in 2,351 roles, while Java, a staple in the sector, is featured in 2,296 jobs. Additionally, AI shows a significant presence with 1,934 mentions. This data highlights the critical technologies that hiring managers should consider as they strategize for recruitment in the dynamic Data Data Science market. Please refer to the attached chart for a detailed breakdown.

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