Lead Data Engineer
Harnham - Data & Analytics Recruitment · London · posted 28 days ago
Going rate £54,900UK median £60,288London £74,574
Home Office going rates from
Occupation
2133IT business analysts, architects and systems designers
Going rate for this occupation: £54,900 · UK median pay £60,288
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£70,000 to £85,000stated
- Going rate£54,900
- UK median£60,288
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £35,504 |
| 25th | £45,860 |
| 50th | £60,288 |
| 75th | £81,932 |
| 90th | £100,418 |
| Going rate | £54,900 |
| UK median | £60,288 |
Sponsorship
Sponsorship chance
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Why
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Lead Data Engineer
London (4 days per week in the office) | £85,000
This is a rare opportunity to build and lead a Data Engineering function within a rapidly growing AI and data-focused technology business. You'll take ownership of engineering standards, team development, and platform-critical data infrastructure while remaining hands-on with the most impactful technical challenges.
The Company
They are an innovative SaaS organisation that helps businesses transform complex data into actionable insights. Operating across a range of industries, they deliver advanced data and AI solutions that support commercial decision-making and customer growth.
With multiple products already in market and further AI-driven solutions under development, they are investing heavily in their data capabilities as they continue to scale. This is a high-growth environment where technology plays a central role in the company's success.
The Role
As Lead Data Engineer, you will be responsible for establishing and leading the Data Engineering function while working closely with senior stakeholders across technology, product, and data teams.
Key responsibilities include:
Defining Data Engineering standards, processes, and best practices across the organisation. Leading, mentoring, and developing a growing team of Data Engineers. Designing and delivering scalable ETL and ELT pipelines across operational, analytical, and AI workloads. Taking ownership of cloud-based data platforms and modern data architecture. Driving improvements in data modelling, platform performance, and engineering quality. Leading CI/CD practices, deployment processes, and engineering governance. Collaborating with Data Science and AI teams to productionise machine learning outputs. Identifying opportunities to leverage AI-enabled development tools across the engineering lifecycle. Implementing monitoring, validation, and governance frameworks to ensure reliable data delivery.
Your Skills & Experience
Commercial experience leading or managing Data Engineering teams. Strong SQL and Python development skills. Expertise building and maintaining scalable ETL and ELT pipelines. Strong understanding of data modelling and modern data architecture principles. Experience working with Azure, AWS and/or GCP cloud platforms. Knowledge of Git, CI/CD, DevOps practices, and deployment workflows. Experience improving engineering standards, processes, and team capabilities. Ability to work effectively with technical and non-technical stakeholders. Interest in AI-enabled engineering practices and modern data platforms.
Information from public records, not immigration advice.