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Data Engineering Jobs in London

The UK's financial and tech hub, home to a diverse ecosystem of data engineering roles across industries.

Open roles
160
Salary range
£45k – £125k
Hiring companies
64
View 160 live roles → Get an alert

London is the epicentre of the UK's financial and technology sectors, making it a prime location for data engineering professionals. Major banks, fintechs, and tech scaleups are headquartered here, creating a robust demand for experts who can build, maintain, and optimise data infrastructure. The city's blend of established enterprises and innovative startups offers a wide range of opportunities, from data pipelines and ETL processes to data warehousing and big data processing. Whether you're working in a bustling office or in a hybrid setup, London's data engineering landscape is dynamic and ever-evolving.

Salary on the board

£45k – £125k

Based on advertised midpoints across the 68 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
43% of listings advertise a salary.
By seniority
£k base
Mid
45
100
11 jobs
Senior
60
155
21 jobs
Lead
70
120
11 jobs
Live jobs

160 live roles

See all 160 roles →

Marketing Automation Engineer

This role involves building and optimizing automated email journeys, customer lifecycle campaigns, and remarketing campaigns across platforms like Google, Microsoft, and Meta. You will work closely with marketing and engineering teams to translate commercial requirements into technical solutions, ensuring high conversion and engagement rates.

Harnham - Data and Analytics Recruitment London, United Kingdom £75,000 – £90,000 pa
Remote Permanent

Data Science Engineer

This role involves building foundational data capabilities to power AI products and advanced analytics within a global law firm. Responsibilities include designing and delivering scalable data pipelines, models, and solutions, working with Microsoft Fabric, Databricks, and PySpark.

Harnham - Data and Analytics Recruitment London, United Kingdom £70,000 – £90,000 pa

Fabric Consultant

The Fabric Consultant role involves designing and delivering modern data platform solutions using Microsoft Fabric, Azure Synapse, and Azure Databricks. You will work closely with clients, architects, and technical teams to build scalable data solutions, support advanced analytics, and ensure data quality and governance.

Tenth Revolution Group London, United Kingdom £75,000 – £90,000 pa

Interim Data Engineer

The Interim Data Engineer will work under the direction of the Data Architect to build and maintain data pipelines, support data integration, and manage the data platform. The role involves working in an Agile environment, collaborating with the team to prioritize and complete tasks, and ensuring data quality and security.

Morgan Law London, United Kingdom £400 – £425 pd

Data, AI & Analytics Consultant, Big 4, Professional Services, London

This role involves working with financial services clients to implement and refine data and AI analytics tools, ensuring regulatory compliance and enhancing audit processes. The consultant will travel to client sites and collaborate on data governance and model risk management.

Carrington Recruitment Solutions Aldgate, City And County Of the City Of London, EC3N 1LH, United Kingdom £120,000 – £160,000 pa
Databricks logo

AI Forward Deployed Engineer - London

This role involves developing cutting-edge GenAI solutions, deploying production-grade applications, and serving as a technical advisor to customers. You will collaborate with product and engineering teams to influence priorities and shape the product roadmap, while also presenting at industry conferences.

Databricks London, United Kingdom

Data Architect

The Data Architect role involves designing and evolving data and technical architecture for AI products, defining how applications, data, APIs, models, and enterprise systems connect. You will work closely with engineering, infrastructure, security, and data teams to ensure AI solutions are scalable, secure, and maintainable.

Tiro London, United Kingdom £90,000 – £100,000 pa

Workday Prism Analytics Consultant

This role involves designing, building, and delivering advanced analytics solutions within the Workday ecosystem, working closely with various Workday teams to develop scalable reporting and analytics capabilities. The consultant will gather requirements, create complex data pipelines, and ensure data quality and governance.

Opus Recruitment Solutions London, City And County Of the City Of London, United Kingdom £900 pd
See all 160 roles →
Roles hiring here

Roles hiring in London

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

Data Engineer Jobs

£35k – £120k
46 open

Senior Data Engineer Jobs

£50k – £115k
18 open

Data Architect Jobs

£60k – £155k
17 open

Analytics Engineer Jobs

£40k – £85k
4 open

Cloud Data Engineer Jobs

£50k – £75k
3 open

Data Platform Engineer Jobs

£70k – £80k
1 open
Top hirers

Hiring here right now

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The scene

Hiring in London

London's data engineering job market is highly competitive, with a strong presence of both established companies and emerging startups. Major financial institutions and fintechs are particularly active in hiring, offering roles that require robust data infrastructure to support their operations.

The city's tech ecosystem is also home to numerous scaleups and research-heavy startups, which often seek data engineers to build and maintain cutting-edge data platforms. This diversity ensures a wide range of opportunities for professionals at all levels, from junior to senior roles.

Hybrid and remote work options are increasingly common, providing flexibility for data engineers to balance their work and personal lives. Whether you prefer the energy of a bustling office or the comfort of a home setup, London's data engineering landscape has something to offer.

FAQs

Common questions

  • Major industries include finance, fintech, tech scaleups, and consulting firms.

  • Many companies offer hybrid or fully remote options, especially in tech and fintech sectors.

  • Key skills include expertise in ETL/ELT, data warehousing, big data technologies, and DataOps practices.

  • Salaries can vary widely based on experience and industry. Check the salary section for more details.

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