Data Science Developer Hiring Trends in Luxembourg

This report was last updated on Aug 9, 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 job market in Luxembourg is marked by a challenging yet dynamic competitive landscape, with 450 job openings currently available against a talent pool of 1,350 professionals.
Over the past three months, the region experienced notable activity fluctuations, with a peak of 18 new roles opening in week 27, amidst significant job closures, indicating the need for proactive recruitment strategies.
Key players in the hiring market for Data Data Science Engineers include University of Luxembourg, Amazon, and Deloitte, demonstrating a wide range of opportunities and collaborative environments for prospective candidates.
Luxembourg City dominates job openings, accounting for 91% of the total, emphasizing its significance as the primary tech hub in the country, while 93% of availing roles are for full-time positions.
The median time to hire Data Science Engineers in Luxembourg currently stands at 33 days, accentuating the competitive nature of recruitment and necessitating efficient hiring processes to attract and secure top talent.

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

The Data Data Science job market in Luxembourg has shown notable fluctuations over the past 12 weeks, with the peak posting of new roles occurring in week 27, where 18 positions were opened. However, this surge comes amid a backdrop of significant job closures, particularly in week 23 and week 24, with 13 and 16 roles, respectively, being closed. The net difference between newly opened and closed Data Data Science positions reveals a dynamic and competitive landscape for recruitment, suggesting that hiring managers need to adopt proactive recruitment strategies to attract Senior Data Data Science Developers. Compared to other roles in Luxembourg's tech sector, these positions are seeing a higher volume of activity, which may indicate an emerging trend in demand for skilled Data Data Science Engineers, necessitating an agile approach for CTOs and engineering managers in the region.

Who else is hiring for data Engineers in Luxembourg:

Company name	Country	Industry	Founded	# Job openings
University of Luxembourg	null	null	null	21
Amazon	United States	Information Technology & Services	1994	16
Deloitte	United States	Management Consulting	1845	5
Devoteam	France	Management Consulting	1995	5
DZ PRIVATBANK S.A.	Luxembourg	Banking	1978	5
EY	United Kingdom	Professional Training & Coaching	1989	3
Spektrum	Spain	Management Consulting	2019	3
LNS - Laboratoire national de santé	Luxembourg	Hospital & Health Care	2012	3
POST Luxembourg	Luxembourg	Information Technology & Services	1842	3
AlphaOmega Asset Management Solution	Luxembourg	Financial Services	2017	3

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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 job market for Data Data Science Engineers in Germany exhibits a challenging landscape, with a count of 450 job openings against a talent pool of 1,350 professionals, yielding a ratio of 3.0. In comparison, neighboring countries such as Belgium show a more favorable ratio of 2.5, with 700 openings and 1,750 candidates. Germany, on the other hand, presents a highly competitive environment with a ratio of 4.0, characterized by 1,200 jobs against a talent pool of 3,000. With these insights, it is apparent that hiring talent in Luxembourg may prove more difficult than in countries like Germany and, to some extent, Belgium. Therefore, recruiting strategies for CTOs in Luxembourg's tech sector must be robust and innovative to attract Senior Data Data Science Developers amid growing recruitment challenges.

Seniority distribution of Data Science Engineer job openings in Luxembourg

Seniority Distribution of Data Science Engineering Jobs in Luxembourg

In Luxembourg's Data Data Science Engineering job market, the majority of positions are at the Mid-Senior level, accounting for 40% of opportunities. Entry level roles follow, making up 21% of the available jobs, while Internship positions represent 17%. This seniority distribution highlights a competitive landscape for hiring managers and CTOs looking to attract talent in the evolving tech sector.

Preferred employment type for Engineering roles in Luxembourg

In Luxembourg's competitive job market, the distribution of engineering roles reveals that 93% are full-time positions, underscoring the strong demand for stability in the workforce. Contract roles constitute 7% of the market, while internships make up a modest 3%. This distribution highlights the limited opportunities for part-time engagements, suggesting a robust preference for committed talent among employers in the technology sector.

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 crucial insights for hiring managers in the tech sector. Notably, the majority of positions are filled within a timeframe of 30 to 35 days, with 78 and 54 counts respectively. This indicates a competitive job market where swift recruitment may be necessary to secure top talent. However, hiring processes extending beyond 60 days should be approached with caution, as they can hinder the acquisition of skilled Data Science Developers. Understanding these trends allows CTOs and engineering managers to refine their recruitment strategies to better align with the current hiring landscape.

Expolore reports from other European Developer talent pools

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The Data Data Engineer job market in Denmark has seen the opening of 40 new roles in the past 12 weeks, indicating a stable demand amidst low closure rates, with only 21 jobs closed during this period.

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Insights for hiring Data Science Engineers in Sweden

The Data Data Science Engineers job market in Sweden is experiencing significant fluctuations, with 44 new positions posted in week 27 alone, showcasing an increasing demand that outpaces the current talent pool.

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Insights for hiring Data Engineers in Warsaw

The Data Engineer job market trends in Poland, specifically in Warsaw, present a compelling landscape for hiring managers as they navigate recruitment strategies.

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Most popular cities in Luxembourg to hire Data Engineers

Top 5 cities in Luxembourg to hire Data Engineers

In the analysis of the Data Data Science Engineers job market in Luxembourg, we observe that Luxembourg City leads with a substantial 91% of the total job openings, reflecting its status as the capital and a primary tech hub. Following this, Esch-sur-Alzette accounts for 4%, and Kirchberg contributes 3% to the overall job distribution. This data highlights the concentration of demand for Data Data Science Engineers in the capital city, emphasizing its pivotal role in attracting talent.

Most sought after technologies in Luxembourg for Data Science

Key technologies for Data Science Engineers

The Data Data Science job market in Luxembourg is heavily influenced by a range of core technologies. Python emerges as the dominant language, with a frequency of 6,766 occurrences, indicative of its critical role in driving data analysis and machine learning initiatives. Following Python, SQL holds a prominent position with 2,330 mentions, highlighting its essential use in data querying and management. Other essential technologies include Java (2,196), showcasing its relevance in larger enterprise environments, and Machine Learning frameworks, reflected by a frequency of 3,188. This data not only illustrates the current trends in hiring Senior Data Data Science Developers in Luxembourg but also points towards an evolution where expertise in AI (1,962) and automation technologies remains vital for future demand. For further insights, refer to the attached chart showcasing these technologies' frequencies.

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