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
218
Salary range
£29k – £240k
Hiring companies
81

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

£29k – £240k

Based on advertised midpoints across the 96 priced listings posted in the last 12 months. Base salary only.

By seniority
£k base
Entry
29
32
1 job
Junior
40
40
1 job
Mid
30
220
39 jobs
Senior
35
180
36 jobs
Lead
65
240
10 jobs
Director
80
140
1 job
Live jobs

218 live roles

See all 218 roles

Databricks Data Solutions Architect

This role involves designing and delivering modern data platforms using Databricks, Apache Spark, and cloud technologies. You will work closely with clients and technical teams to build scalable, secure, and high-performing solutions, while also contributing to pre-sales activities and driving strategic Databricks initiatives.

83zero Farringdon, Greater London, London, EC1M 4BJ, United Kingdom £90,000 – £110,000 pa
Hybrid Permanent Clearance Required

Data Engineer

The Senior Data Engineer designs and delivers high-quality data engineering solutions, focusing on building reliable data pipelines, centralising transformation logic, and supporting enterprise analytics platforms like Palantir. They work across cloud environments (AWS and Azure) and collaborate with data architects to ensure alignment between tactical and strategic initiatives.

Qualient Technology Solutions UK Limited London, United Kingdom
On-site Permanent Clearance Required

AWS Data Architect

This role involves designing and delivering modern, enterprise-scale data platforms on AWS, focusing on advanced analytics, AI, and data-driven decision-making. You will lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programs, working with highly skilled teams.

83zero Farringdon, Greater London, London, EC1M 4BJ, United Kingdom £90,000 – £110,000 pa
Hybrid Permanent Clearance Required

Data Engineer

As a Data Engineer, you will build and maintain data pipelines using SQL and Python, develop data models for analytics and AI applications, and work with cloud platforms like Azure, AWS, or GCP. You will collaborate closely with Product Managers, AI Engineers, and Analysts to support the development of next-generation analytics and decision intelligence products.

Datatech London, United Kingdom £45,000 – £50,000 pa
Permanent

Data Engineer

This role involves designing and developing enterprise-scale data pipelines, integrating data from multiple sources, and building cloud-native data solutions using AWS and Azure. You will collaborate with architects, developers, and business stakeholders to ensure data quality, performance, and reliability, while contributing to Agile delivery teams and driving engineering excellence.

CBSbutler Holdings Limited trading as CBSbutler London, United Kingdom £400 – £429 pd
Hybrid Contract Flexible Clearance Required

Booking and Messaging Java Developer (COMBJP00001223)

This role involves designing and implementing complex distributed trading workflows, optimizing high-throughput, low-latency processing components, and working closely with domain experts and DevOps teams. The team focuses on trade booking architectures, static data management, and real-time connectivity workflows, operating in a highly autonomous, Agile Scrum environment.

Randstad Technologies Recruitment London, United Kingdom £500 – £600 pd
Hybrid Permanent
Experis logo

Data Engineer

This role involves building and maintaining data pipelines for a new digital Screening service within the NHS England Digital Screening programme. You will develop ETL processes using PySpark, work in an Agile team, and ensure data quality and reliability for reporting dashboards.

Experis London, City And County Of the City Of London, United Kingdom £465 – £466 pd
Remote Contract
Experis logo

Senior Data Engineer (Informatica)

This role involves working on large-scale data projects using Informatica, AWS, and Azure. Responsibilities include performance tuning, data quality management, and building data pipelines. The position is part of a government or similarly complex domain, requiring strong technical skills and experience in data engineering at scale.

Experis London, United Kingdom £400 – £460 pd
Hybrid Contract Clearance Required
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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