Data Science Developer Hiring Trends in 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 has shown fluctuations over the last three months, with a peak of 22 new job postings reflecting robust interest, but also high job closures at 14, indicating a competitive hiring landscape.
Python remains the predominant technology in the market, followed by Machine Learning and SQL, essential for data management, highlighting a clear preference for candidates with skills in these areas for the current demand for Data Science Engineers in Denmark.
Mid-Senior level professionals dominate the job market for Data Data Science Engineers, accounting for 45% of opportunities, with entry level and internship positions also significant, indicating an inclination toward experienced candidates while allowing for emerging talent.
Copenhagen is the top city for Data Engineer job postings in Denmark, with 77% of openings located there, underscoring its status as the primary hub for Data Science roles within the country.
The median time to hire for Data Data Science Engineer positions in Denmark is 33 days, reflecting a relatively efficient hiring process, although there are potential delays that hiring managers should be mindful of to maintain competitiveness.

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 a peak of 22 new job postings in week 31, reflecting a robust interest in this specialization. However, this trend contrasts sharply with the number of job closures, which reached a high of 14 in weeks 34 and 35, indicating a competitive landscape for hiring managers. The net job openings present a mixed signal, as the weekly count of new positions often lags behind closures, complicating recruitment efforts for CTOs and Engineering Managers. Compared to other European countries, where job postings in the Data Science segment have been steadily increasing, Denmark exhibits volatility that demands strategic hiring approaches tailored to local market dynamics.

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 job market for Data Data Science Engineers in Denmark exhibits unique trends when compared to several other European countries. For instance, Denmark has a notable number of job openings relative to its available talent pool, which suggests a competitive hiring environment. When compared to countries like Germany, the United Kingdom, and France, Denmark's ratio of talent pool size to job openings indicates that hiring Data Data Science Engineers may be more challenging. As hiring managers and CTOs navigate this landscape, understanding these ratios is crucial for crafting effective recruitment strategies. Continuous monitoring of these dynamics will be essential for securing top Data Data Science talent in Denmark.

Seniority distribution of Data Science Engineer job openings in Denmark

Seniority Distribution of Data Science Engineering Jobs in Denmark

In the Data Data Science job market in Denmark, the seniority distribution reveals a significant focus on Mid-Senior level professionals, comprising 45% of job opportunities. Entry level positions constitute 26% of the current roles, followed closely by Internship opportunities at 24%. This distribution indicates that organizations may prioritize experienced candidates while still offering pathways for emerging talent.

Preferred employment type for Engineering roles in Denmark

In Denmark's tech sector, the employment type distribution for engineering roles reveals a significant preference for full-time positions, constituting 93% of available opportunities. Part-time roles represent 6% of the market, while contract positions account for 6%. This data underscores the robust demand for full-time Data Data Science Engineers, reflecting a broader trend in the Danish job market.

Time to Hire Distribution for Data in Denmark

How long does it take to hire Data Engineers

The time to hire for Data Data Science Engineer positions in Denmark reflects a diverse distribution, with a notable concentration of hires occurring around the 30-day mark, which accounts for 196 instances. As the time to hire increases, there is a gradual decrease in counts, indicating that while roles may take longer to fill beyond 30 days, there remains a steady demand for candidates up to 50 days. Notably, hiring managers in Denmark should be aware that over half of the placements occur within a 30 to 40-day timeframe, which suggests a relatively efficient recruitment process is in place, albeit with potential delays beyond this period that could impact the competitiveness in the 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 Denmark, the location distribution for Data Engineers job openings reveals a significant concentration in the capital city, Copenhagen, which accounts for 77% of the total job postings. Following Copenhagen, Aarhus represents 17% of the job market for Data Science roles, while Aalborg, Odense, and Ballerup collectively contribute only 6%. This data underscores the dominance of Copenhagen as a key hub for Data Data Science Engineer opportunities in Denmark, as illustrated in the accompanying chart.

Most sought after technologies in Denmark for Data Science

Key technologies for Data Science Engineers

In analyzing the current trends within the Data Data Science job market in Denmark, certain technologies stand out due to their frequency of usage among successful candidates. The demand for Python continues to dominate, evidenced by its notable frequency of 5169, followed closely by Machine Learning, which has a frequency of 2883. SQL is also crucial, with a frequency of 1822, underscoring its essential role in data management. Data Science itself is central to job listings, with a frequency of 1631, highlighting its pertinence in the industry. Additionally, AI technologies, with a frequency of 1763, are increasingly pivotal in shaping the future demand for Data Science Engineers in Denmark. Refer to the accompanying chart for a comprehensive breakdown of this data.

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