Data Engineer 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 Engineer job market in United Kingdom London has shown significant fluctuations over the past 12 weeks, with a peak of 34 new job postings in week 24 and a notable decline to just 4 by week 27.
Currently, 77% of Data Engineer positions in London are classified as Mid-Senior level, highlighting a strong demand for experienced talent in this field, which is crucial for hiring managers targeting skilled Data Engineers.
London remains the dominant hub for Data Engineer roles, accounting for approximately 76% of the total job openings in the United Kingdom, making it essential for recruitment strategies for CTOs operating in the tech sector.
The time to hire for Data Engineer positions averages around 32 days, with a majority of roles taking between 25 to 30 days to fill, indicating a competitive hiring landscape that requires effective strategies from hiring managers.
With 91% of engineering roles in the United Kingdom being full-time positions, the focus on full-time employment underscores an emerging trend that recruitment teams need to consider when attracting top Data Engineer talent.

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

In the past 12 weeks, the Data Data Engineer job market in United Kingdom London has demonstrated noteworthy fluctuations. The number of new job postings surged significantly, peaking at 34 positions in week 24, yet experienced a decline to just 4 by week 27. During the same period, job closures saw a gradual increase, with a total of 12 roles closed in week 28. Compared to other roles in the tech sector, the Data Data Engineer positions exhibited a heightened volatility in hiring trends, indicating a potential imbalance between demand and supply. This could signify an emerging trend in the need for skilled Data Data Engineers, laying the groundwork for recruitment strategies for CTOs navigating the competitive landscape in United Kingdom London's tech domain.

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 talent market for Data Engineers in Europe presents an intriguing landscape, particularly when analyzing the Germany in relation to its peers. Currently, the United Kingdom boasts a significant number of job openings for Data Engineers, yet the size of its available talent pool indicates a challenging hiring environment. For instance, while countries like Germany and France show competitive job openings, the talent ratio suggests that the UK may have a higher difficulty in sourcing qualified candidates compared to Spain, which offers a more favorable jobs-to-talent ratio. Hiring managers in the UK should brace for increased competition as they seek to attract top Data Data Engineer talent, making strategic recruitment initiatives essential.

Seniority distribution of Data Engineer Engineer job openings in London

Seniority Distribution of Data Engineer Engineering Jobs in London

In the competitive landscape of the Data Engineer job market in the United Kingdom, particularly in London, the seniority distribution reveals significant trends that hiring managers should consider. Currently, 77% of the positions are classified as Mid-Senior level, while Entry level roles account for 15% of job openings, and Associate positions represent 8%. This distribution highlights the strong demand for experienced Data Engineers, indicating a strategic focus for CTOs and recruitment teams targeting skilled talent.

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 constitute 91% of all jobs. In contrast, contract roles account for 9%, while part-time positions represent just 3%. This data underlines the dominant trend towards securing full-time Data Engineer opportunities in London, aligning with the recruitment strategies for CTOs navigating the dynamic tech sector.

Time to Hire Distribution for Data in United Kingdom

How long does it take to hire Data Engineers

The time to hire for Data Engineer positions in the United Kingdom presents a varied landscape, with the majority of positions taking between 25 to 30 days to fill, as indicated by 200 and 319 counts, respectively. Notably, the data also reveals that 84 positions were filled within just 5 days, demonstrating a brisk pace for some roles. However, as the timeframe extends to 40 days or more, both the count and speed of filling these positions drop significantly, indicating potential challenges in attracting suitable candidates. Hiring managers should be prepared for average hiring durations near the 30-day mark while also strategizing to enhance their recruitment processes for swift placements. Understanding these trends is crucial for CTOs and Engineering Managers looking to optimize their hiring strategies in the competitive tech landscape of the UK.

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 competitive landscape of the Data Engineer job market in the United Kingdom, London stands out as the predominant hub, accounting for approximately 76% of the total job openings. Following London, Leeds and Manchester represent smaller but significant markets, with job openings comprising 11% and 6% respectively. The data highlights London's critical role in shaping recruitment strategies for CTOs and hiring managers seeking Data Engineers within the UK's tech sector.

Most sought after technologies in London for Data Engineer

Key technologies for Data Engineer Engineers

In the competitive landscape of Data Data Engineer jobs within the United Kingdom, particularly in London, specific technologies emerge as crucial for candidates. Notably, SQL leads the way with a frequency of 1,485, underscoring its foundational role in data manipulation and querying. Following closely, Python, with a frequency of 1,459, is essential for data processing and analytics tasks. Additionally, AWS, with a frequency of 342, reflects the growing reliance on cloud services for data storage and management. Data Engineering, as a discipline, shows significant demand with a frequency of 801, emphasizing the importance of specialized skills in managing data workflows. Finally, tools such as ETL and Data Pipelines, with frequencies of 619 and 133 respectively, highlight the ongoing need for professionals adept in data integration and workflow automation. For a visual representation of these trends, please refer to the accompanying chart.

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