Data Developer Hiring Trends in Manchester, United Kingdom

This report was last updated on Aug 17, 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

Over the past 12 weeks, the Data Engineer job market in United Kingdom Manchester has demonstrated notable fluctuations, with a weekly peak of 7 new positions indicating an active hiring environment.
The talent pool in Manchester for Data Engineers is currently experiencing a competitive landscape, as more job openings exist than qualified candidates available, highlighting a broader recruitment challenge for hiring managers.
Key technologies in demand for Data Engineers include Python and SQL, which are essential for data manipulation and database management, reinforcing the need for hiring managers to focus on these skills in their recruitment strategies.
In terms of seniority, mid-senior level positions dominate the Data Engineer market in Manchester, comprising 64% of job openings, underlining the necessity for CTOs and Engineering Managers to attract experienced candidates.
The median time to hire for Data Engineers in the United Kingdom stands at 31 days, emphasizing the importance of swift recruitment processes amid the competitive job market.

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

Over the past 12 weeks, the Data Engineer job market in United Kingdom Manchester has shown fluctuating activity. The weekly openings peaked at 7 new positions in week 30, while the total number of closed positions reached a high of 6 in week 24. This indicates a net creation of roles in certain weeks, particularly noteworthy given the general hiring trends for senior data developers in other European cities. Notably, many weeks recorded a higher number of closures, suggesting competitive pressures that hiring managers must navigate when considering recruitment strategies for CTOs in Manchester's tech sector.

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 reveals varying levels of hiring difficulty across different countries. In the United Kingdom, specifically Manchester, the ratio of job openings to the available talent pool indicates a challenging landscape for hiring managers, given that there are more job openings than qualified candidates. In comparison, countries like Germany, France, and Spain are witnessing similar trends, but with slightly lesser employment pressure, as they boast a more balanced ratio of job openings to available talent. Such insights suggest that CTOs and engineering managers in the United Kingdom, particularly in Manchester, may need to adopt innovative recruitment strategies to attract the right Data Engineering talent amid the competitive hiring environment.

Seniority distribution of Data Engineer job openings in Manchester

Seniority Distribution of Data Engineering Jobs in Manchester

In the Data Engineers job market in United Kingdom Manchester, the seniority distribution reveals that Mid-Senior level positions dominate with 64% of the jobs, followed by Entry level roles at 19%, and Associate positions accounting for 5%. This distribution highlights a substantial demand for experienced candidates, making it essential for CTOs and Engineering Managers to refine their recruitment strategies to attract the right talent.

Preferred employment type for Engineering roles in United Kingdom

The data reveals a predominant trend in the employment landscape for engineering roles in the United Kingdom, with full-time positions accounting for 91% of the job market, significantly leading over contract roles at 9%, and part-time opportunities representing just 2%. This distribution underscores the preference for stable, long-term hiring in the tech sector, which is critical for hiring managers and CTOs looking to attract and retain talented Data Engineers in the highly competitive job market.

Time to Hire Distribution for Data in United Kingdom

How long does it take to hire Data Engineers

The time to hire distribution for Data jobs in the United Kingdom reveals significant insights for hiring managers navigating the competitive landscape. A predominant count of 319 positions were filled within 30 days, indicating a swift recruitment process for many organizations. However, the numbers gradually decline with extended hiring timelines; for instance, 200 jobs took 25 days while only 1 job exceeded 105 days. These trends underscore the urgency in hiring Senior Data Developers in United Kingdom Manchester, prompting CTOs and Engineering Managers to refine their recruitment strategies. As the demand for Data Engineers continues to evolve, insights from this data can guide effective hiring practices within Manchester's 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 current job market, London dominates the landscape for Data Engineers in the United Kingdom, accounting for a significant 76% of job openings. Following London, Leeds offers 12% of the opportunities, while Manchester comprises 7% of the total job market for this role. This distribution highlights the concentration of Data Engineer roles in major cities, with a notable emphasis on London as the capital.

Most sought after technologies in Manchester for Data

Key technologies for Data Engineers

In the competitive Data job market in United Kingdom Manchester, certain technologies stand out as essential for prospective candidates. Leading the pack is Python, with a strong frequency of 8,339 usages, underscoring its vital role in data manipulation and analysis. Following Python, SQL remains a cornerstone with a high frequency of 7,824, essential for database management and querying. Additionally, Data Engineering emerges prominently with 3,748 mentions, indicating a robust focus on building and maintaining data architectures. Machine Learning, with a frequency of 3,002, highlights the increasing demand for advanced analytical capabilities in data roles. Finally, Data Analysis technology, appearing 2,285 times, signifies the importance of turning raw data into actionable insights. For a comprehensive view of these trends, please refer to the accompanying chart.

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