Data Science Developer Hiring Trends in Luxembourg

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 trends in Luxembourg reveal an active landscape with a total of 10,280 job openings, predominantly in full-time positions, constituting 93% of the roles available.
Luxembourg hosts a concentrated talent pool, with the majority of available positions categorized as Mid-Senior level (46%), making it vital for hiring managers to refine their recruitment strategies to attract experienced professionals.
In terms of geography, Luxembourg City emerges as the prime location for hiring Data Engineers, accounting for 94 openings, followed by Esch-sur-Alzette with 50 job listings, indicating preferences for urban talent hubs.
The competition for Data Science Engineers is increasing, with the talent-to-job opening ratio suggesting that while demand is high, sourcing skilled professionals from the limited talent pool remains challenging for CTOs and Engineering Managers.
The median time to hire for Data Engineers stands at 34 days, underscoring the need for streamlined recruitment processes to secure top talent efficiently in Luxembourg's competitive tech sector.

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

In the last 12 weeks, the job market for Data Data Science Engineers in Luxembourg has shown varied activity, with a peak of 18 new job openings in week 27. However, the overall trend reveals a concerning disparity, as multiple weeks recorded more job closures than openings, influencing the future demand for Data Data Science Engineers in Luxembourg. Specifically, there were 10 job closures in week 35 compared to only 6 jobs posted, indicating a competitive landscape for recruitment. When contrasted to other roles in the Luxembourg tech sector or similar positions across Europe, the fluctuation in openings and closures underscores the need for refined recruitment strategies for CTOs and hiring managers looking to secure top talent in this evolving job market.

Who else is hiring for data Engineers in Luxembourg:

Company name	Country	Industry	Founded	# Job openings
University of Luxembourg	null	null	null	15
Amazon	United States	Information Technology & Services	1994	9
Deloitte	United States	Management Consulting	1845	5
European Investment Bank (EIB)	Luxembourg	Banking	1958	4
Devoteam	France	Management Consulting	1995	4
LNS - Laboratoire national de santé	Luxembourg	Hospital & Health Care	2012	3
EY	United Kingdom	Professional Training & Coaching	1989	3
Spektrum	Spain	Management Consulting	2019	3
Vector Synergy	Poland	Information Technology & Services	null	2
Julius Baer	Switzerland	Banking	1890	2

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Talent pool vs job openings for Data Engineers in Luxembourg

How competitive it is to hire Data Engineers in Luxembourg

The Data Data Science job market in Luxembourg reflects a competitive landscape, especially when compared to neighboring countries like Germany, France, and the Netherlands. With a substantial number of job openings, the available talent pool is somewhat limited, leading to a challenging hiring environment for Data Science Engineers. The talent-to-job opening ratio indicates that while opportunities abound in Luxembourg, sourcing skilled professionals may prove difficult. This trend suggests that CTOs and other hiring managers need to adopt innovative recruitment strategies to attract top talent. Observing hiring trends across Europe, particularly in tech hubs, is vital for understanding the future demand for Data Science Engineers in Luxembourg.

Seniority distribution of Data Science Engineer job openings in Luxembourg

Seniority Distribution of Data Science Engineering Jobs in Luxembourg

In the evolving landscape of the Data Data Science Engineer job market in Luxembourg, the majority of opportunities are concentrated at the Mid-Senior level, accounting for 46% of available positions. Entry-level roles follow with a significant 27%, while Internship opportunities represent 20% of the market. This distribution highlights the current demand for experienced professionals, positioning Luxembourg as a key player in the Data Data Science talent pool.

Preferred employment type for Engineering roles in Luxembourg

The employment type distribution of engineering roles in Luxembourg reveals a strong preference for full-time positions, which constitute 93% of the job market with 10,280 roles available. Contract positions follow at 6% with 799 opportunities, while internships account for approximately 3% at 330 roles. This data highlights the robust demand for full-time Data Data Science Engineers job market trends in Luxembourg, indicating a clear preference among employers for stable, long-term hires.

Time to Hire Distribution for Data in Luxembourg

How long does it take to hire Data Engineers

The time to hire distribution for Data Science Engineers in Luxembourg reveals critical insights relevant to the current job market. A significant proportion, 72 candidates, were hired within 30 days, indicating a prompt supply for entry-level to mid-tier positions. However, as the hiring timeline extends, we observe notable declines; 53 candidates were hired by the 35-day mark, with this number tapering off to just 4 by the 100-day threshold. This trend highlights the importance for hiring managers, particularly CTOs and Engineering Managers, to streamline their recruitment strategies in order to attract top Data Science talent efficiently, especially in a competitive tech sector like Luxembourg.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineers in Denmark

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.

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Insights for hiring Data Engineer Engineers in Spain

The Data Data Engineer job market in Spain has seen a total of 190 new job postings in the last 12 weeks, reflecting a volatile but promising hiring landscape for CTOs and tech employers.

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Insights for hiring Data Engineers in Krakow

The Data Engineers job market trends in Poland, particularly in Krakow, showcase a dynamic landscape with recent fluctuations in job openings indicative of both opportunities and challenges for hiring managers.

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Most popular cities in Luxembourg to hire Data Engineers

Top 5 cities in Luxembourg to hire Data Engineers

In Luxembourg, the job market for Data Engineers reveals a notable concentration in the capital, Luxembourg City, which accounts for 94 job openings, representing 6% of the total market. Esch-sur-Alzette follows with 5% of the market share, boasting 50 job listings, while Kirchberg holds a smaller portion with 4% and 37 positions available. The chart accompanying this analysis provides a visual representation of these distribution trends.

Most sought after technologies in Luxembourg for Data Science

Key technologies for Data Science Engineers

In the competitive landscape of the Data Data Science job market in Luxembourg, specific technologies stand out due to their prevalence among job postings. According to recent data, Python leads the pack with a significant usage frequency of 5,169, indicating its crucial role in data-driven projects. Following closely are Machine Learning at 2,883 and SQL at 1,822, both essential for advanced data manipulation and algorithm development. The use of AI technologies, which recorded a frequency of 1,763, highlights the ongoing shift towards automation and intelligent data analysis. Furthermore, Java, .NET, and React are notable technologies that contribute to the software development aspects of data science roles, with frequencies of 1,337, 1,250, and 859 respectively. A detailed chart accompanying this analysis illustrates these trends, providing a visual representation of the technological landscape for hiring managers.

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