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Lead Data Engineer
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Lead Data Engineer
Build AI platforms that actually make an impact.
I'm partnering with an innovative, fast-growing technology consultancy that's building large-scale data and AI platforms for some of the world's leading consumer brands. They're investing heavily in AI, cloud technologies, and modern data engineering, giving you the chance to work on genuinely cutting-edge projects while helping shape the future of the engineering function.
If you enjoy solving complex technical problems, influencing architecture, and mentoring other engineers, this is a role where you'll have real ownership and visibility.
What's in it for you?
- Lead the design and delivery of modern cloud-based data & AI platforms
- Work with Databricks, Azure, AWS, GCP, and the latest AI technologies
- Influence engineering standards, architecture, and technical strategy
- Mentor and develop a growing team of talented engineers
- Join a business where your ideas are heard and you can genuinely shape what's next
- Work on varied projects rather than the same environment every day
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The role
You'll take ownership of designing and delivering scalable data platforms and AI solutions, working closely with technical teams and client stakeholders from concept through to deployment.
You'll be hands-on where it matters, while also providing technical leadership across architecture, engineering best practice, and team development.
Projects include:
- Building scalable data platforms and cloud architectures
- Developing ETL/ELT pipelines using Python, PySpark, and SQL
- Designing secure, high-performance data models
- Supporting the deployment of AI and machine learning solutions into production
- Driving engineering standards and mentoring other engineers
- Working with modern cloud platforms including Azure, Databricks, AWS, and GCP
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What they're looking for
- Strong experience building cloud-based data platforms
- Expertise in Python, SQL, and modern data engineering practices
- Commercial experience with Databricks and Azure (AWS/GCP also valuable)
- Experience designing scalable data architectures and ETL pipelines
- Previous technical leadership or mentoring experience
- Someone who enjoys solving problems, improving ways of working, and helping others grow
Experience with AI platforms, DevOps, CI/CD, or solution architecture would be a bonus, but it's not essential.
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