Data Engineer

Data Engineer | London | 4 days in the office

Some Data Engineering roles are about keeping the lights on.

This isn't one of them.

We're working with an AI-powered SaaS business using first-party data to solve real commercial problems across Finance, Retail, Travel, Telco and Healthcare.

They're looking for an early to mid-level Data Engineer to help build and optimise the data foundations behind the platform and its AI capabilities.

You'll be working across:

• SQL and Python data pipelines
• ETL across operational and analytical layers
• AWS, Azure and GCP
• Git and CI/CD
• Data quality, lineage and metadata
• Monitoring and production reliability
• Bringing AI/ML outputs into production

What they're looking for

Around 1+ years' experience in Data Engineering or a Platform role, with strong SQL and Python, some cloud experience and exposure to CI/CD.

Importantly, this isn't a role where you're expected to arrive fully formed.

There's a clear pathway to develop into a Senior Data Engineer, with the opportunity to take on more responsibility, broaden your technical skills and grow with the platform.

The client is genuinely proud of its engineering culture and how the team works together, which is why they want people in the office 4 days a week.

It's a collaborative environment, with Data Engineers working closely with AI Engineers, Analysts and Product.

London | 4 days in the office | Early to mid-level | Clear path to Senior

If you're looking for a role where you can build strong foundations, work with AI and develop towards a senior Data Engineering position, get in touch.

[justin.toomey@datatech.org.uk

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