Data Science Developer Hiring Trends in Copenhagen, Denmark

This report was last updated on Sep 6, 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 Science Engineer job market in Denmark, particularly in Copenhagen, reflects a dynamic and competitive environment, characterized by 10 new job postings over the last 12 weeks, alongside an average closure of 5 roles weekly.
Copenhagen accounts for approximately 74% of all job openings for Data Science Engineers in Denmark, highlighting its status as the primary city for talent acquisition in this field.
The talent pool for Data Data Science Engineers in Denmark currently has a talent ratio of 2.5, indicating moderate difficulty in hiring due to the lower number of available candidates relative to job openings.
Mid-Senior level positions dominate the Data Data Science job market, comprising 45% of available roles, which emphasizes a focus on experienced candidates for hiring managers and CTOs here.
The median time to hire for Data Engineers in Denmark stands at 33 days, with the majority of candidates being hired within 30 days, underscoring the necessity for effective recruitment strategies to secure top talent promptly.

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

In recent weeks, the Data Data Science Engineer job market in Denmark Copenhagen has shown notable fluctuations. Over the last 12 weeks, a total of 10 new Data Data Science Engineer positions were posted during week 35, reflecting a peak in recruitment efforts. However, this surge is accompanied by a significant number of closed positions, with an average of approximately 5 roles being closed weekly, indicating a competitive and dynamic hiring landscape. In comparison to other roles within the tech sector in Denmark, this job category exhibits a consistent demand, though the closure rate suggests hiring managers may need to adopt strategic approaches to maintain candidate engagement. Furthermore, compared to the broader European technology landscape, Denmark Copenhagen's Data Data Science positions are being actively sought after, emphasizing the necessity for effective recruitment strategies tailored to this region.

Who else is hiring for data Engineers in Denmark:

Company name	Country	Industry	Founded	# Job openings
DTU - Technical University of Denmark	null	null	null	9
Netcompany	Denmark	Information Technology & Services	2000	8
Dalux	Denmark	Information Technology & Services	2005	7
DataAnnotation	United States	Information Technology & Services	null	7
the LEGO Group	Denmark	Mechanical Or Industrial Engineering	1932	7
twoday	United States	Information Technology & Services	2022	6
Hitachi Energy	Switzerland	Utilities	2020	4
GlobalConnect	Sweden	Telecommunications	1998	4
Novonesis	Denmark	Research	null	4
Genius Sports	United Kingdom	Information Technology & Services	2001	4

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Talent pool vs job openings for Data Engineers in Denmark

How competitive it is to hire Data Engineers in Denmark

The data science job market in Denmark, particularly in Copenhagen, reveals a dynamic landscape influenced by competing nations. Currently, Denmark has a talent ratio of 2.5, indicating a moderate level of difficulty in hiring Data Data Science Engineers as there are fewer available candidates compared to the number of job openings. In contrast, countries like Germany, with a ratio of 3.7, and the Netherlands, boasting a ratio of 4.1, exhibit a more favorable environment for recruitment, suggesting that hiring talent in these regions may be easier. Other European players, such as Sweden, show a talent ratio of 3.2, further emphasizing the competitive nature of the data science market. Consequently, it appears that while opportunities abound in Denmark, hiring managers may face challenges in securing qualified Data Data Science Developers, necessitating innovative recruitment strategies.

Seniority distribution of Data Science Engineer job openings in Copenhagen

Seniority Distribution of Data Science Engineering Jobs in Copenhagen

In the current landscape of the Data Data Science job market in Denmark, specifically in Copenhagen, the seniority distribution reveals significant insights for hiring managers. The Mid-Senior level positions dominate the market, accounting for 45% of all roles available. Following this, Internship roles represent 28%, while Entry level positions make up 27% of the job market. Understanding these figures is crucial for CTOs and tech leads as they strategize recruitment efforts for Data Science Engineers in Denmark.

Preferred employment type for Engineering roles in Denmark

In Denmark, the employment type distribution for engineering roles reveals a significant preference for full-time positions, accounting for 93% of the job market. Part-time roles encompass 6%, while contract positions make up 6% of the available opportunities. This data indicates a robust demand for stable and long-term employment arrangements in the tech sector.

Time to Hire Distribution for Data in Denmark

How long does it take to hire Data Engineers

The time to hire for Data Science Engineer positions in Denmark demonstrates notable trends that are critical for hiring managers in the tech sector. A significant proportion, 196 candidates, were hired within 30 days, indicating a competitive recruitment landscape for Data Data Science roles in Copenhagen. Furthermore, hiring extends beyond 30 days, with 84 candidates taking 35 days and 61 candidates hired in 50 days, highlighting the need for strategic recruitment approaches. The data suggests that while quick placements are possible, many vacancies can linger, requiring effective recruitment strategies to attract top talent in the Data Science job market.

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Most popular cities in Denmark to hire Data Engineers

Top 5 cities in Denmark to hire Data Engineers

In the current job market for Data Science Engineers in Denmark, Copenhagen stands out as the leading city, accounting for approximately 74% of the total job openings. Aarhus follows as the second largest market, with about 17% of the job opportunities, while both Aalborg and Odense contribute a mere 3% each. These figures highlight the significant concentration of Data Science roles within the capital city, as illustrated in the accompanying chart.

Most sought after technologies in Copenhagen for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of the Data Data Science job market in Denmark, particularly in Copenhagen, several technologies have emerged as essential for candidates. Python leads the way with a frequency of 5,169, demonstrating its significance in data-related tasks. Following closely, Machine Learning is integral to many roles, appearing 2,883 times, underscoring the focus on AI-driven solutions. SQL also plays a critical role with 1,822 occurrences, often utilized in data manipulation and querying. Other notable mentions include Java at 1,337 and .NET at 1,250, both important for software development tasks within data projects. These technologies are highlighted in the accompanying chart, showcasing their prevalence in the current hiring landscape.

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