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
178
Salary range
£50k – £129k
Hiring companies
82

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

£50k – £129k

Based on advertised midpoints across the 74 priced listings posted in the last 12 months. Base salary only.

Salary visibility
39% of listings advertise a salary.
By seniority
£k base
Mid
47
98
16 jobs
Senior
61
124
23 jobs
Lead
65
120
14 jobs
Live jobs

178 live roles

See all 178 roles
Spotlight
Corndel logo

Data Engineer - Level 5 Coach - Fully Remote

This role involves coaching and mentoring working professionals through a Level 5 Data Engineering apprenticeship programme, helping them develop technical and professional skills in data engineering. You'll deliver 1:1 coaching, lead workshops, and guide learners in building secure, scalable data solutions using modern cloud platforms and tools. The position blends deep technical expertise with teaching and mentorship, focused on real-world application and ethical data practices.

Corndel London, United Kingdom
Remote Permanent

Data & AI Architect

This role involves designing and leading the implementation of enterprise-scale data and AI solutions using Microsoft technologies such as Azure, Fabric, and Power BI. The architect will engage with clients to define data strategies, lead technical workshops, and support pre-sales, while promoting modern approaches like data mesh and lakehouse architectures. The position emphasizes technical leadership, cloud-based data transformation, and responsible AI adoption across diverse client environments.

Tenth Revolution Group London, United Kingdom £85,000 – £100,000 pa

Business Intelligence Developer - SQL, ETL, Power BI, DAX

Design and develop Power BI reports, dashboards, and semantic models using DAX, while building and maintaining ETL processes with Azure Data Factory. Work closely with stakeholders to translate business requirements into scalable data solutions, enhance reporting capabilities, and support enterprise data warehouse systems. Troubleshoot technical issues and contribute to governance, security, and deployment pipelines within a regulated environment.

Comtecs London, United Kingdom £80,000 – £90,000 pa
Experis logo

Platform Architect

Design and optimize Azure Databricks platforms with a focus on Serverless enablement, FinOps governance, and migration of POSIT/RStudio workloads. Develop scalable data pipelines using PySpark, Delta Lake, and secure integration patterns while implementing cost controls, tagging standards, and operational guardrails. Enhance the Discovery Zone to support AI/ML adoption and streamline workload modernization.

Experis London, United Kingdom £500 – £550 pd

Databricks Data Engineer

Databricks Data Engineer - Data Ingestion6 months - £550 a day (outside IR35)Location: UK - Hybrid/RemoteWe are looking for an experienced Databricks Data Engineer / Data Ingestion Engineer to join a large, global organisation.The role is focused on data ingestion...

TRIA London, United Kingdom £525 – £575 pd

GCP Data Engineer

Design and build scalable data pipelines in Snowflake to integrate marketing and media data, enabling analytics and measurement. Collaborate with agency and client teams to define requirements and ensure data quality. Support reporting and data governance within a GCP environment.

Sphere Digital Recruitment London, United Kingdom £350 – £365 pd

Senior Software Engineer

Design and build highly scalable, cloud-native backend systems processing real-time data within a high-performance sports betting environment. Solve complex engineering challenges around distributed systems, event-driven architecture, and low-latency data pipelines. Work with modern technologies including Python, Java, and GCP in a collaborative, engineering-led team with significant technical ownership.

Method Resourcing London, United Kingdom £120,000 pa

Senior Data Architect

Design and implement enterprise-scale cloud data platforms using Datab游戏副本, Snowflake, AWS, and GCP to support advanced analytics, AI, and machine learning. Define data architecture standards, governance, and best practices while collaborating with engineering and business teams. Work within a highly regulated environment on large-scale digital transformation initiatives.

83zero Kensington, London, W8 6NB, United Kingdom £100,000 – £115,000 pa
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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