Data 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 Engineers job market trends in Denmark indicate a challenging yet dynamic recruitment landscape, with 2,000 job openings competing against a talent pool of only 1,500 professionals.
Copenhagen serves as the dominant hub for Data job opportunities, accounting for 70% of available positions, while Aarhus and other cities contribute significantly less.
There is a notable demand for experienced professionals, with 49% of Data Engineering roles categorized as Mid-Senior level, presenting opportunities for both experienced and emerging talent.
Python and SQL are pivotal technologies for Data Engineers in Denmark, with significant usage frequency, reflecting the skills that hiring managers should prioritize in candidates.
With a median time to hire of 34 days, CTOs and Engineering Managers must adopt innovative recruitment strategies to secure top talent swiftly in this competitive market.

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

In recent weeks, the Data Engineer job market in Denmark has shown notable fluctuations, with a peak of 41 new positions posted in week 31, reflecting a robust demand for Data Developers. However, this surge is contrasted by significant job closures, peaking at 59 in week 26, indicating volatility in the recruitment landscape. Over the 12-week period, the net difference between openings and closures highlights the intense competition for Data Engineering roles, prompting hiring managers and CTOs to develop innovative recruitment strategies. Compared to other regions in Europe, the hiring dynamics in Denmark showcase both challenges and opportunities within the Data job market.

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 Engineers job market trends in Denmark reveal a challenging landscape for hiring managers. Currently, Denmark has 2,000 job openings for Data Engineers, with a talent pool of only 1,500 professionals, resulting in a jobs-to-talent pool ratio of 0.75. In comparison, Germany shows a more favorable balance with 10,000 openings against a talent pool of 8,000, yielding a ratio of 0.8. Similarly, the Netherlands boasts 5,000 job openings with a talent pool of 4,000, leading to a ratio of 0.8 as well. These statistics suggest that while recruitment strategies for CTOs in Denmark's tech sector need to be tailored to address a tighter talent supply, other European countries may provide more accessible options for hiring Data Engineers.

Seniority distribution of Data Engineer job openings in Denmark

Seniority Distribution of Data Engineering Jobs in Denmark

In Denmark's Data Engineering job market, the distribution of seniority levels indicates a robust demand for experienced professionals. Specifically, 49% of positions are classified as Mid-Senior level, while 30% are Entry level. Additionally, Internships account for 17% of the available roles, highlighting a significant opportunity for emerging talent.

Preferred employment type for Engineering roles in Denmark

In Denmark's engineering job market, the distribution of employment types reveals a clear preference for full-time positions, which account for 93% of all engineering roles. Part-time opportunities make up 6%, while contract roles constitute only 1%. This distribution highlights the strong inclination towards permanent employment among engineering professionals 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 jobs in Denmark reveals significant insights for hiring managers and CTOs navigating the tech landscape. With the majority of candidates requiring approximately 30 days for recruitment, as reflected by 196 candidates falling within this timeframe, organizations should anticipate a competitive hiring process. Notably, 61 positions required 50 days or more, indicating potential challenges for attracting qualified talent within the Senior Data Developer segment. These recruitment timelines emphasize the necessity for effective recruitment strategies tailored to the evolving Data Engineer job market in Denmark, where promptness can enhance opportunities for securing top-tier candidates.

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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 distribution of Data Engineer job openings is notably concentrated in Copenhagen, which accounts for 70% of the total job market, followed by Aarhus with 16% and both Aalborg and Odense each contributing 3%. This significant presence of opportunities in the capital highlights Copenhagen as a critical hub for Data job market in Denmark, underscoring the importance for hiring managers to focus their recruitment strategies here. For more detailed insights, please refer to the accompanying chart.

Most sought after technologies in Denmark for Data

Key technologies for Data Engineers

In the competitive landscape of the Data job market in Denmark, certain technologies have emerged as critical tools for data professionals. Notably, Python leads with a usage frequency of 7,785, showcasing its dominant role in Data Engineering and analysis tasks. SQL follows closely with a frequency of 7,444, indicating its essentiality in database management and querying. The rise of Machine Learning, with a frequency of 2,883, further emphasizes the growing demand for Data Engineers skilled in complex predictive analytics. Additionally, the use of ETL (Extract, Transform, Load) processes is significant, with a frequency of 2,981, underscoring the importance of data integration in operational streams. These insights are further illustrated in the accompanying chart, highlighting the technological trends shaping Data Developer opportunities in Denmark.

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