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Data Science Developer Hiring Trends in Basel, 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 Data Data Science Engineers job market in Switzerland, particularly in Basel, showcases a competitive landscape with 22 new job postings in the last three months and a median time to hire of 32 days.
  • A total of 34 companies are actively hiring for Data Science roles in Basel, with leading employers including TieTalent, yellowshark® AG, and Rocken®.
  • The seniority distribution indicates that Mid-Senior level positions make up 49% of job openings, highlighting the demand for experienced candidates in this competitive market.
  • Despite a robust number of openings, hiring managers face challenges due to a limited talent pool, necessitating innovative recruitment strategies to attract skilled Data Data Science Engineers.
  • Full-time roles dominate the job market, comprising 93% of available positions, which emphasizes the need for hiring managers to align their employment offers with market expectations.
Number of roles opened and closed for Data Science Engineers in Basel in the last 3 months

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

The data regarding the Data Data Science Engineer job market in Switzerland Basel over the past 12 weeks reveals notable fluctuations. A total of 22 new job postings were recorded, peaking at 5 openings in week 28. However, this increase is contrasted by a steady closure rate, with 2 to 5 positions closing weekly. Notably, the number of closed jobs often surpassed openings in several weeks, indicating a competitive landscape. When comparing these trends to roles in other sectors within Switzerland or similar positions across Europe, it is clear that the demand for Data Science talent remains robust yet volatile, necessitating dynamic recruitment strategies for CTOs and hiring managers.

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

In the current European landscape for Data Data Science Engineers, Switzerland presents a competitive environment with a limited ratio of talent available compared to job openings. Data from Switzerland indicates a count of job openings that exceeds the available talent pool, suggesting that hiring Data Science Engineers in Switzerland, particularly in cities like Basel, is challenging. In comparison, countries such as Germany and France showcase a more favorable hiring environment with a higher ratio of talent to openings, while Poland appears to have a burgeoning talent pool, facilitating easier recruitment. This trend highlights the pressing need for innovative recruitment strategies among CTOs and engineering managers in Switzerland's tech sector to attract top-tier Data Data Science talent.

Seniority distribution of Data Science Engineer job openings in Basel

Seniority Distribution of Data Science Engineering Jobs in Basel

In Switzerland Basel, the seniority distribution of Data Data Science Engineering jobs reveals key hiring trends for CTOs and recruitment managers. The Mid-Senior level accounts for 49% of job openings, making it the most sought-after category. This is followed by Associate positions at 24%, and Entry level roles at 23%. Understanding these percentages is crucial for making informed recruitment strategies in the evolving tech sector.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

In Switzerland, the employment landscape for engineering roles, particularly in the data science sector, is predominantly characterized by full-time positions, which account for 93% of job opportunities. Part-time roles make up 7% of the employment type distribution, while contract positions represent just 6% of the market. Understanding these trends is crucial for hiring managers looking to attract top talent in the competitive data science job market in Switzerland, especially in cities like Basel.

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 Engineer positions in Switzerland reveals significant insights for hiring managers in the tech industry. A majority of candidates, totaling 626, are hired within a 30-day window, indicating a competitive job market for Data Science roles. Notably, as we extend the hiring timeframe, the number of candidates decreases dramatically, with only 4 candidates reportedly hired after 100 days. This trend emphasizes the urgency for CTOs and recruitment strategists to refine their hiring processes and adopt swift recruitment strategies to attract top Data Science talent in regions such as Basel.

Most popular cities in Switzerland to hire Data Engineers

Top 5 cities in Switzerland to hire Data Engineers

In Switzerland, the distribution of Data Data Science Engineer job openings reveals that Zurich leads with 52% of the total opportunities, followed by Bern with 13% and Geneva with 13%. Basel, a key city in this landscape, contributes to 10% of the overall job market, while Lausanne accounts for 6%. This data highlights the prominence of Zurich as a hub for Data Science roles, with significant opportunities also present in the capital, Bern. Please refer to the accompanying chart for a visual representation of these trends.

Most sought after technologies in Basel for Data Science

Key technologies for Data Science Engineers

In the current landscape of the Data Data Science job market in Switzerland, particularly in Basel, certain technologies stand out based on their frequency of usage among hiring managers. Python, with a notable frequency of 6,992, remains the most sought-after programming language, closely followed by Machine Learning at 3,204. SQL, often critical for data management, appears 2,351 times, while Java ranks with 2,296 mentions, emphasizing its importance in data science applications. Other relevant technologies include AI, data analysis, and JavaScript, showcasing the diverse toolkit that Data Science Engineers are expected to master. For further insights into these trends, refer to the accompanying chart.

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