Senior Data Engineer – Data Science & Engineering | Global Lifestyle Brand

Hybrid – UK | London – Up to £75k DOE | 12-Month FTC | J12995

We’re thrilled to be partnering with one of the world’s most recognisable lifestyle brands at a defining moment in their data transformation journey. As they bring CRM and customer insight capability in-house and launch a new customer data platform, this role sits right at the intersection of Data Science and Engineering, shaping how data products are built, scaled, and delivered across global markets.

You won’t be maintaining legacy systems, you’ll be building the foundation for what comes next. Working hand in hand with Data Science and IT partners, you’ll help drive a culture of experimentation, innovation, and best practice in modern data engineering.

The team is at the heart of the customer and insight function, harnessing predictive modelling and analytics to create truly personalised experiences across multiple brands and channels.

What you’ll need:

• Python, SQL, and data modelling expertise

• Advanced knowledge of Snowflake & Snowpark

• Confident communicator who can influence and collaborate

• Experience building and managing ML environments (MLflow or similar)

• Familiarity with CI/CD practices

What you’ll do:

• Architect and implement scalable ML environments with Data Science

• Define best practices for deployment, monitoring, and governance

• Build high-performance data pipelines in Snowflake & Snowpark

• Lead migrations, removing blockers and enabling innovation

• Partner with IT to drive seamless integration and adoption

• Mentor peers and champion modern engineering approaches

• Uphold governance, privacy, and security standards

If you’re a Data Engineer who thrives at the crossroads of technology and innovation — ready to make a tangible impact on how global brands use data — this is the opportunity to do it.

Let’s talk… APPLY NOW

No sponsorship or VISA applications can be accepted at this time.

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