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Data Science Developer Hiring Trends in Denmark

This report was last updated on Aug 9, 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 Engineer job market in Denmark has shown notable fluctuations, with a peak of 20 job openings recorded in week 20 and a significant decline to just 3 in subsequent weeks, indicating a competitive hiring environment.
  • Copenhagen dominates the hiring landscape, accounting for 75% of the total Data Data Science Engineer job opportunities, followed by Aarhus with 17%, and a collective 8% spread across Ballerup, Aalborg, and Odense.
  • Currently, there is a strong demand for Mid-Senior level talent, which comprises 42% of available positions, while entry-level roles and internships account for 21% and 17%, respectively, emphasizing the need for targeted recruitment strategies.
  • The primary technologies sought by employers include Python, SQL, and Machine Learning, underscoring the importance of robust data manipulation and analytics skills in the current hiring landscape for Data Data Science Engineers in Denmark.
  • The median time to hire Data Data Science Engineers in Denmark is 34 days, with a significant portion of candidates hired within the first 30 days, highlighting the pressing need for efficient recruitment processes in a tightening labor market.
Number of roles opened and closed for Data Science Engineers in Denmark in the last 3 months

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

In the past 12 weeks, the Data Data Science Engineer job market in Denmark has shown notable fluctuations, with openings peaking at 20 jobs in week 20 and experiencing a significant decline to just 3 in both weeks 21 and 22. Notably, the number of jobs closed has often surpassed the openings, with a peak closure of 30 jobs in week 22. This trend signals a competitive environment for Data Data Science roles, where hiring managers may need to recalibrate recruitment strategies to attract talent. Compared to other European nations, the hiring landscape in Denmark displays a more volatile pattern, suggesting potential opportunities for strategic recruitment initiatives targeting Data Data Science Engineer positions.

Who else is hiring for data Engineers in Denmark:

Company name Country Industry Founded # Job openings
Novonesis logo Novonesis Denmark Research null 8
Netcompany logo Netcompany Denmark Information Technology & Services 2000 7
DataAnnotation logo DataAnnotation United States Information Technology & Services null 7
the LEGO Group logo the LEGO Group Denmark Mechanical Or Industrial Engineering 1932 7
twoday logo twoday United States Information Technology & Services 2022 6
Dalux logo Dalux Denmark Information Technology & Services 2005 5
Port of Hamburg Marketing logo Port of Hamburg Marketing null null null 4
Eaton logo Eaton Ireland Electrical/electronic Manufacturing 1911 4
Københavns Kommune logo Københavns Kommune Denmark Government Administration null 4
GlobalConnect logo GlobalConnect Sweden Telecommunications 1998 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 job market for Data Data Science Engineers in Denmark is currently experiencing significant demand, with a count of job openings that stands in contrast to the available talent pool. With a ratio of talent pool to job openings, the competition for qualified candidates is notably high. This trend reflects similar conditions observed in other European countries like Sweden, the Netherlands, and Germany, where the number of job openings often surpasses the talent availability. Hiring managers, including CTOs and Engineering Managers, may find recruitment strategies evolving to prioritize skill development and attractive compensation packages to secure top-tier talent amid a tightening labor market.

Seniority distribution of Data Science Engineer job openings in Denmark

Seniority Distribution of Data Science Engineering Jobs in Denmark

In Denmark's Data Data Science job market, the seniority distribution reveals a strong demand for Mid-Senior level talent, comprising 42% of available positions. Entry level roles account for 21% of the market, while Internship opportunities make up 17%. This data highlights the necessity for hiring managers to align their recruitment strategies with these trends to attract skilled professionals in the tech sector.

Chart about preferred employment type for Engineering roles in Denmark

Preferred employment type for Engineering roles in Denmark

In the Danish job market for engineering roles, the predominant employment type is full-time positions, accounting for 94% of the opportunities with 13,721 jobs available. Contract roles represent 6% with 951 jobs, while part-time positions make up 5% with 911 roles. This distribution highlights the strong preference for full-time employment in the Data Data Science Engineers job market in Denmark.

Time to Hire Distribution for Data in Denmark

How long does it take to hire Data Engineers

The time to hire distribution for Data Science positions in Denmark reveals a noteworthy trend that hiring managers should consider. A significant portion of candidates, approximately 255, are hired within a 30-day timeframe, indicating a competitive landscape that may favor swift recruitment strategies. As the duration extends, there appears to be a notable decrease in candidate availability, with only 6 candidates hired within a 70 to 75 day period. This suggests that companies must act decisively, as waiting longer than 30 days could result in missed opportunities in the Data Data Science job market in Denmark. For CTOs and engineering leaders, effectively navigating these timelines is crucial to securing top talent amid growing demand.

Most popular cities in Denmark to hire Data Engineers

Top 5 cities in Denmark to hire Data Engineers

In Denmark, the job market for Data Data Science Engineers is predominantly concentrated in Copenhagen, which accounts for 75% of the total openings. Following is Aarhus, with 17% of opportunities, while Ballerup, Aalborg, and Odense collectively make up the remaining 8%. This concentration highlights the capital's significance as a central hub for Data Data Science job market trends in Denmark.

Most sought after technologies in Denmark for Data Science

Key technologies for Data Science Engineers

In the current Data Data Science job market in Denmark, a variety of technologies are prominent among employers seeking talent. Python emerges as the most utilized technology, with a frequency of 6,766, followed by SQL at 2,330 and Machine Learning at 3,188, indicating a strong emphasis on data manipulation and advanced analytics skills. Java, with 2,196 occurrences, also plays a significant role, highlighting the demand for versatile programming capabilities. Additionally, other technologies such as AI and JavaScript have notable usage rates, further enriching the landscape for Data Science positions. This analysis is visually supported by the accompanying chart that outlines these trends.

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