Data Science Developer Hiring Trends in Aarhus, 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 Engineers job market in Denmark, particularly in Aarhus, is currently characterized by a competitive landscape, with notable demand for skilled professionals against a backdrop of limited talent availability.
Over the past 12 weeks, fluctuations in job openings were observed, with a peak of 2 roles opened in weeks 27 and 34, while closures often surpassed openings, indicating a tightening market for Data Data Science Engineers.
The seniority distribution reveals that 44% of available Data Science engineering positions are at the Mid-Senior level, emphasizing the growing demand for experienced talent in this domain.
In terms of hiring locations, Aarhus represents approximately 18% of the job openings in Denmark, highlighting its significance as a hub for Data Data Science Developer opportunities alongside Copenhagen, which dominates with 78% of openings.
With a median time to hire of 33 days for Data Engineers in Denmark, hiring managers must adopt strategic recruitment strategies to attract and retain top talent amidst increasing competition.

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

In Denmark Aarhus, the job market for Data Data Science Engineer roles has exhibited notable fluctuations over the past 12 weeks. The weekly openings for these positions peaked at 2 jobs in weeks 27 and 34, while the number of closed jobs varied, notably reaching a high of 4 closures in week 28. A significant trend to highlight is the overall declining net job openings, with more closures than openings in several weeks. This pattern suggests a tightening market for Data Data Science Engineers in Denmark Aarhus, contrasting with other roles in the tech sector that may still experience growth. Hiring managers, including CTOs and Engineering Managers, should consider these trends when strategizing recruitment in the evolving landscape of Brazil's technology environment.

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 current landscape for Data Data Science Engineers in Denmark, particularly in Aarhus, reflects a competitive job market characterized by a notable demand for skilled professionals. With the number of job openings significantly outpacing the available talent pool, the ratio of jobs to talent is tighter compared to other European countries such as Germany, France, and Spain. This dynamic indicates a challenging hiring environment for CTOs and hiring managers in Aarhus who seek to fill Data Data Science Engineer roles. In contrast, countries like Germany exhibit a healthier talent ratio, suggesting a more accessible hiring process for tech leads and recruiters. Therefore, the hiring of highly sought-after Data Science Developers in Denmark requires strategic recruitment approaches to effectively attract the limited available talent.

Seniority distribution of Data Science Engineer job openings in Aarhus

Seniority Distribution of Data Science Engineering Jobs in Aarhus

In the Danish job market for Data Data Science Engineering roles, particularly in Aarhus, the seniority distribution highlights a significant representation at the Mid-Senior level, accounting for 44% of the available positions. Entry level roles make up 22%, while Internship roles comprise 11%. This distribution underscores the growing demand for experienced talent in Data Data Science, presenting an opportunity for hiring managers to strategically position their recruitment efforts.

Preferred employment type for Engineering roles in Denmark

In Denmark's engineering sector, the employment type distribution reveals a distinct preference for full-time positions, which constitute 93% of the total job market. Part-time roles make up 6%, while contract positions account for just 1%. Understanding this distribution is crucial for hiring managers in the tech industry, particularly when evaluating the Data Data Science Engineers job market trends in Denmark, specifically in Aarhus.

Time to Hire Distribution for Data in Denmark

How long does it take to hire Data Engineers

The current time to hire distribution for Data Science positions in Denmark demonstrates a notable variance across different intervals. The highest concentration of hires occurs within the 30 to 35 days range, accounting for 196 positions, followed by 84 positions in the 35 to 40 days category. However, hiring can extend beyond 40 days for 43 roles, with an additional 48 positions taking 45 days. This data suggests that hiring managers in Aarhus should consider that the recruitment landscape for Data Science Engineers may require a strategic approach, particularly aimed at reducing the time to fill these essential roles.

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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 Engineers in Denmark, Copenhagen stands out significantly, hosting approximately 78% of the total openings with 1,704 positions available. Aarhus follows with a notable 18% of job openings at 378, affirming its status as a key location for Data Data Science opportunities. Meanwhile, Aalborg, Odense, and Ballerup collectively account for just 4% of the job market, indicating a concentrated demand in the larger urban centers of the country, particularly in the capital.

Most sought after technologies in Aarhus for Data Science

Key technologies for Data Science Engineers

In the current Data Data Science job market, particularly in Denmark Aarhus, several technologies dominate the landscape. Python leads as the most frequently used language, with a remarkable usage frequency of 5,169. Following this, Machine Learning technologies showcase a significant presence with a frequency of 2,883, underscoring their importance in data-driven roles. SQL comes in third with 1,822 hits, confirming its critical role in data management and retrieval processes. Other notable technologies include Java, appearing 1,337 times, and AI, with a frequency of 1,763. This data reflects the chart provided, illustrating the prevalent tools employed by Data Data Science Engineers in Denmark Aarhus.

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