Job Description

Data Engineer - Data Monetisation 

Global Blue Chip

£46k - £69k base + 25% bonus + company benefits (10% match pension, 25 days annual leave plus your birthday off, private healthcare + more)

London - 2 days a week

Most data engineering jobs are about keeping the lights on. This one is about building something that actually matters.

Our client is sitting on some of the richest customer data in the UK. The team you'd be joining turns that raw data into high-value customer signals and commercial data products - the kind of work that has real commercial weight behind it.

As a Data Engineer, you won't be babysitting old pipelines. You'll be building new ones, writing clean Python and SQL, working with ML models to find genuine customer insights, and contributing to a platform built on Google Cloud.

What you'll be doing

• Building and maintaining data pipelines and warehousing solutions that actually hold up under pressure.
• Writing code that follows proper governance and quality standards — not just code that works, but code the next person can understand and build on.
• Using analytical and modelling techniques across a vast dataset to create customer insights and segments that have real commercial value.
• Collaborating with internal teams to understand what data is available, hunt down quality issues, and make sure the products you're contributing to are reliable.
• Taking ownership of your tickets, showing up to agile ceremonies, and shipping work on time.

What you need to bring

• Solid Python and SQL. This is non-negotiable.
• Real experience as a Data Engineer, building pipelines and doing data analysis — not just exposure to it.
• Hands-on experience with Google Cloud, specifically BigQuery, Cloud Run and DBT Cloud.
• Version control and CI/CD experience, ideally with GitLab.
• Familiarity with Jira and Confluence. Nothing exotic, but you need to be comfortable working in an agile environment.
• A genuine willingness to learn. The data landscape moves fast. If you need everything pinned down before you start, this probably isn't the right fit.

Nice to have

• Some experience with machine learning, specifically BigQueryML, MLOps or Gen AI applications.
• Experience working with big data at scale.

The benefits

Bupa healthcare from day one. Income protection if you're unable to work. Life assurance. A birthday day off. Option to buy or sell up to 5 days' holiday. Discounts on our clients' products for you and your family. Plus a pension with employer contributions.

Next steps

Two-stage interview process if shortlisted. This role will move quickly. If it's caught your attention, don't sit on it. Apply now, and one of our team will be in touch within 48 hours.