Staff Analytics Engineer

About Monzo

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

Our Borrowing Analytics Engineering Team

Our mission in Borrowing is to help people achieve their financial goals through better borrowing. Our customers borrow money to achieve something in their lives — whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We’re shaping this mission by building products our customers love, while safely scaling some of Monzo’s biggest revenue lines. Borrowing is one of Monzo’s most complex and fastest-growing domains. We operate 12+ products across multiple geographies, underpinned by 1,700+ data models and an analytics engineering team that’s scaling to match. We’re in the middle of a major data architecture transformation, expanding into new markets, and building the next generation of data infrastructure to support it all.

Key Responsibilities

• Architecting Borrowing’s data layer at scale.
• Partnering across Analytics Engineering, Product, Engineering, Credit, and Data Platform to shape how 1,700+ models across 12+ products are structured, connected, and evolved.
• Designing and governing data products.
• Building feature stores and reusable analytical assets.
• Scaling our analytics engineering infrastructure.
• Driving cross-product data consistency.
• Being a senior technical partner for Borrowing’s data estate.
• Leading through influence and leverage.

Requirements

• You think in systems, not just queries.
• You’ve designed data architectures that span multiple products or domains.
• You’ve built data products, not just data models.
• You have deep fluency with analytics engineering systems and infrastructure (dbt at scale, BigQuery or equivalent, CI/CD for data).
• You can design reusable feature layers.
• You connect technical choices to business outcomes.
• You lead through others.
• You communicate across altitudes.
• You care about credit products.

Interview Process

• Recruiter call
• Initial call
• 3 x 1 hour sessions (final interview)

Salary and Benefits

• Base salary: £121,600-164,600 + stock and benefits
• Learning budget of £1,000 a year for books, training courses and conferences
• Flexible working hours
• Relocation assistance and visa sponsorship available
• And much more.