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

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
156
20 jobs
Lead
71
125
12 jobs
Live jobs

160 live roles

See all 160 roles →
Databricks logo

Infrastructure & Platform Specialist Solutions Architect (SSA)

Design and implement production-grade machine learning and AI workloads, including end-to-end pipelines, MLOps, and GenAI systems like RAG and agentic architectures. Provide technical leadership during sales cycles, mentor teams, and influence product direction based on customer needs. Work closely with cloud platforms and large-scale data systems like Apache Spark.

Databricks London, United Kingdom
Hybrid Permanent
Databricks logo

Director, International Communications

Develops and executes international communications strategies across Europe, Asia, and the Americas, translating business growth into localized media narratives. Advises regional leaders, leads PR teams, and manages agency and media relationships to build Databricks' global reputation in data and AI. Balances global messaging consistency with regional relevance across 13 countries.

Databricks London, United Kingdom
Hybrid Permanent
E

Data Architect

The role involves leading enterprise data architecture assessments, mapping systems and data flows, and identifying risks and inconsistencies. It focuses on defining data models, improving integration patterns, and enabling data readiness for AI. The architect will work across teams to align data strategy with business needs and improve data quality and traceability.

Experis London, United Kingdom £585 pd
Hybrid Contract

Databricks Data Architect

Design and implement enterprise Databricks Lakehouse platforms, translating business requirements into scalable data architectures. Lead client engagements, optimise performance and security, and build CI/CD pipelines for modern data ecosystems. Contribute to architectural patterns and support data & AI transformation initiatives.

Tenth Revolution Group London, United Kingdom £95,000 – £125,000 pa
Hybrid Permanent

Lead Data Engineer

This role involves leading the design and development of enterprise-scale data pipelines and platforms, solving complex data challenges across legacy and modern systems. The engineer will work hands-on to build production-grade solutions, improve data quality and governance, and provide technical leadership through delivery. Collaboration with both technical and non-technical stakeholders is key to translating real-world problems into effective data solutions.

Guidant Global London, City And County Of the City Of London, United Kingdom £700 – £800 pd
Hybrid Permanent

Fabric Data Engineer

The role involves building and enhancing data pipelines within Microsoft Fabric's live production environment, focusing on transforming CRM data into actionable insights. You'll work with PySpark, SQL, and Data Factory to modernize legacy systems while collaborating closely with stakeholders to identify data gaps and improve data quality. The position offers hands-on involvement in automation, pipeline optimization, and the ongoing migration to a Fabric-first data platform.

Tenth Revolution Group London, United Kingdom £55,000 – £65,000 pa
Hybrid Permanent

Lead Data Engineer - London

Lead a growing data engineering team in a fast-paced AI SaaS environment, shaping technical direction while remaining hands-on with cloud data platforms and ETL/ELT pipelines. Collaborate closely with AI engineers to productionise machine learning solutions and drive modern engineering practices like CI/CD and automation. This role offers a clear path to future leadership as Head of Data Engineering.

Datatech London, United Kingdom £85,000 – £95,000 pa
Hybrid Permanent

Data Architect

DATA ARCHITECTup to £65,000 + BENEFITSLondon (Hybrid)This is a great opportunity to join a purpose-driven organisation where you can take ownership of enterprise data architecture and shape how data is structured, governed and leveraged across the business.THE COMPANY:This a UK...

Harnham - Data and Analytics Recruitment London, United Kingdom £60,000 – £65,000 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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