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Staff Data Engineer
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Lead Data Engineer
Build AI platforms that don't just look impressive – they deliver real impact.
If you're at the point in your career where you want more influence, more interesting technical challenges and the chance to shape how modern data platforms are built, this could be exactly what you're looking for.
You'll be joining a growing technology consultancy delivering cloud, data and AI solutions for globally recognised consumer brands. No legacy maintenance. No being pigeonholed into one client. Just varied projects, modern technology and the opportunity to lead from the front.
What's in it for you?
- Lead the design and delivery of enterprise-scale data and AI platforms
- Work with Databricks, Azure, AWS, GCP and the latest AI technologies
- Influence architecture, engineering standards and technical strategy
- Stay hands-on while leading and mentoring other engineers
- Work across a variety of clients and complex technical challenges
- Join a business where good ideas are acted on and your voice carries weight
- Plenty of opportunity to develop your career as the business continues to grow
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The opportunity
As a Lead Data Engineer, you'll play a key role in designing and delivering modern cloud-based data platforms from discovery through to production.
You'll work closely with engineers, architects and stakeholders to solve complex data challenges, helping organisations unlock more value from their data while supporting the adoption of AI at scale.
This is a leadership role, but one that keeps you close to the technology. You'll still be writing code, making architectural decisions and solving technical problems, while helping to raise engineering standards across the wider team.
What you'll be doing
- Designing scalable cloud-based data and AI platforms
- Building robust ETL/ELT pipelines using Python, PySpark and SQL
- Developing secure, high-performance data models
- Supporting the deployment of AI and machine learning solutions into production
- Providing technical leadership across delivery teams
- Mentoring engineers and helping them develop their technical capability
- Driving engineering best practice and contributing to architecture decisions
- Working with Azure, Databricks, AWS and GCP technologies
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What we're looking for
- Proven experience building modern cloud-based data platforms
- Strong Python and SQL skills with a solid background in data engineering
- Commercial experience with Databricks and Azure (AWS or GCP experience is also valuable)
- Experience designing scalable data architectures and data pipelines
- Previous experience leading engineers or providing technical direction
- Someone who enjoys solving complex problems and improving the way engineering teams work
Experience with AI platforms, DevOps, CI/CD or solution architecture would be a bonus, but it's not essential.
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Jessica, London
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