Harnham
Lead Data Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
£85,000 + Benefits
London (4 days per week in the office)
This is a fantastic opportunity to join a rapidly scaling SaaS business where you can build and lead the Data Engineering function from the ground up whilst remaining hands-on with cutting-edge data and AI initiatives.
THE COMPANY:
The business works with major enterprise clients across Financial Services, Retail, Telecommunications, Travel, and Healthcare. This is an exciting opportunity to join at a pivotal stage of growth and have a genuine impact on the future direction of the business.
THE ROLE:
You will take ownership of the Data Engineering function, driving technical excellence, engineering best practice, and team growth whilst leading the development of scalable, cloud-based data solutions.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key responsibilities include:
- Building and leading the Data Engineering function, defining standards, processes, and ways of working.
- Managing, mentoring, and developing a growing team of Data Engineers.
- Designing and delivering scalable ETL/ELT pipelines across operational, analytical, and AI data environments.
- Owning data architecture, modelling strategy, CI/CD processes, and deployment governance.
- Driving adoption of AI-enabled engineering practices to improve development efficiency, quality, and scalability.
YOUR SKILLS AND EXPERIENCE:
Get help with your application
Your very own career expert that helps elevate your application to the next level.
You will bring strong capability in:
- Previous experience leading and line-managing Data Engineering teams.
- Advanced SQL and Python development skills.
- Consultancy experience.
- Building and optimizing ETL/ELT pipelines within modern cloud environments.
- Data modelling, dimensional modelling, and modern data architecture principles.
- CI/CD, Git, DevOps practices, and cloud platforms including Azure, AWS, and/or GCP.
THE BENEFITS:
You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY:
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location