Data Science Developer Hiring Trends in London, United Kingdom

This report was last updated on Aug 16, 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 the United Kingdom, particularly in London, has shown significant fluctuations with a total of 320 job openings in the last 12 weeks, reflecting a dynamic landscape that requires flexible hiring strategies.
London continues to dominate as the primary hub for Data Data Science Engineers, accounting for 72% of job vacancies, followed by Leeds at 11% and Manchester at 6%, indicating a concentrated demand for talent in key urban areas.
With Python emerging as the leading technology mentioned in job postings at 5,846 occurrences, followed by Machine Learning and SQL, hiring managers should prioritize these skills when assessing candidates for Data Data Science roles.
The median time to hire for Data Data Science Engineers in the UK stands at 28 days, with 319 positions successfully filled within 30 days. This data highlights the necessity for recruitment strategies that not only target immediate openings but also account for varying hiring timelines.
As the seniority distribution shows Mid-Senior roles making up 58% of the market, CTOs and Engineering Managers should align their recruitment strategies with this trend to attract the right talent for their organizational needs.

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

In the recent 12-week period, the data for Data Data Science Engineer roles in United Kingdom London reveals notable fluctuations in job postings. The peak occurred in week 26 with 19 new roles, while the lowest was recorded in week 32 with just 1 new opening. Notably, the number of jobs closed also varied, with the highest closures happening in week 31 at 16, suggesting an increasingly competitive market for Data Data Science job candidates. When compared to other technology roles across Europe, Data Data Science Engineers maintain a dynamic yet cautious hiring landscape, necessitating strategic recruitment approaches by CTOs and hiring managers.

Who else is hiring for data Engineers in United Kingdom:

Company name	Country	Industry	Founded	# Job openings
Ripjar	United Kingdom	Information Technology & Services	2013	8
Oliver Bernard	United Kingdom	Staffing & Recruiting	2010	6
TieTalent	Switzerland	Information Technology & Services	2017	6
hackajob	United Kingdom	Information Technology & Services	2014	6
Xcede	United Kingdom	Staffing & Recruiting	2003	6
Harnham	United Kingdom	Staffing & Recruiting	2006	5
MoonPay	United States	Information Technology & Services	2018	5
Canonical	United Kingdom	Information Technology & Services	2004	4
SR2 \| Socially Responsible Recruitment \| Certified B Corporation™	United Kingdom	Information Technology & Services	2017	4
Meta	United States	Information Technology & Services	2004	4

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Talent pool vs job openings for Data Engineers in United Kingdom

How competitive it is to hire Data Engineers in United Kingdom

The recruitment landscape for Data Data Science Engineers in the United Kingdom portrays a challenging scenario for hiring managers. With a notable count of job openings juxtaposed against a limited talent pool, the jobs-to-talent ratio indicates that sourcing qualified candidates may be difficult. In comparison, countries such as Germany, France, and the Netherlands exhibit a more favorable hiring environment with larger talent pools per job opening. These conditions suggest that while demand remains high in the UK, competition for skilled Data Science professionals may necessitate more strategic recruitment approaches.

Seniority distribution of Data Science Engineer job openings in London

Seniority Distribution of Data Science Engineering Jobs in London

In the competitive landscape of the Data Data Science job market in the United Kingdom, particularly in London, the distribution of seniority levels reveals valuable insights for hiring managers. The Mid-Senior level category dominates, comprising 58% of job postings. This is followed by Entry level positions at 22% and Associate roles at 12%. Understanding this seniority distribution is crucial for CTOs and engineering managers aiming to align their recruitment strategies with market demands.

Preferred employment type for Engineering roles in United Kingdom

The employment type distribution for engineering roles in the United Kingdom reveals a strong preference for full-time positions, which dominate the market at 91%. In contrast, contract roles account for 9% of the job listings, while part-time opportunities represent a mere 3%. This data underscores the significance of full-time employment in the Data Data Science Engineers job market trends in United Kingdom London.

Time to Hire Distribution for Data in United Kingdom

How long does it take to hire Data Engineers

The time to hire for Data Science roles in the United Kingdom presents critical insights for hiring managers. A significant 319 positions were filled within 30 days, indicating a swift recruitment process that can be leveraged by CTOs and Engineering Managers. Interestingly, while the majority of hires occur within 30 to 40 days, there remains a notable demand for candidates requiring longer lead times, with 81 hires at 40 days and 61 at 45 days. These trends suggest that while immediate needs are often met promptly, strategies must also accommodate the longer hiring cycles to attract the right talent. Overall, understanding this distribution can aid in the development of effective recruitment strategies within the UK's competitive tech sector.

Expolore reports from other European Developer talent pools

Insights for hiring Data Engineer Engineers in Denmark

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 United Kingdom to hire Data Engineers

Top 5 cities in United Kingdom to hire Data Engineers

In the United Kingdom, the data for Data Data Science Engineer job openings reveals that London stands out as the primary hub, accounting for 72% of the total relevant positions. Following London, Leeds offers 11% of the opportunities, while Manchester contributes 6%. These figures highlight the significant concentration of data science roles in the capital, making it a focal point for hiring strategies in the tech sector.

Most sought after technologies in London for Data Science

Key technologies for Data Science Engineers

The current landscape of the Data Data Science job market in the United Kingdom, particularly in London, reveals a diverse set of technologies that are pivotal for professionals in this field. Python leads with the highest frequency of 5,846 mentions, showcasing its dominance in data manipulation and analysis. Machine Learning follows closely with 3,002, indicating strong industry reliance on advanced analytical techniques. SQL, a foundational language for database management, commands a frequency of 2,078, emphasizing its necessity for data-driven decision making. Java, with 1,689 mentions, demonstrates persistent usage in enterprise-level applications, while Data Science itself has been referenced 1,671 times, underscoring the growing significance of this discipline. These trends align with the accompanying chart, which provides a visual representation of these technology prevalence rates.

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