Staff Analytics Engineer

Навыки

• After Effects
• BigQuery
• CI/CD
• Общение с клиентами
• dbt
• Лидерство
• Machine Learning

О компании и продукте

• 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

Задачи

• We’re on a mission to make money work for everyone
• We’re waving goodbye to the complicated and confusing ways of traditional banking

Требования

• After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK
• You’ve designed data architectures that span multiple products or domains, and you know how to keep them coherent as they scale
• You can take ambiguous problems and turn them into a clear technical direction, delivery sequence, and set of trade-offs
• You’ve built data products, not just data models
• You understand the difference between a table that exists and a data asset that’s governed, documented, versioned, discoverable, and trusted
• You’ve defined SLAs, contracts, interfaces, or ownership models for data consumers, and you’re excited to do this at scale
• You have deep fluency with analytics engineering systems and infrastructure. dbt at scale, BigQuery or equivalent, CI/CD for data, testing frameworks, and orchestration
• You don’t just use these tools, you shape how teams use them
• You’ve hit the scaling limits and know what to do about them
• You can design reusable feature layers
• You’ve designed, contributed to, or have a clear vision for reusable feature layers that serve multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting
• You understand the trade-offs between freshness, cost, granularity, correctness, and ease of use
• You’re comfortable at the platform boundary
• You can have a productive conversation with a Data Platform engineer about ingestion patterns, streaming vs. batch trade-offs, schema evolution, and infrastructure costs
• You don’t need to build the platform, but you need to shape what it delivers
• You connect technical choices to business outcomes
• You care about whether data models, feature layers, and platform patterns actually improve decisions
• You understand how product, credit, engineering, and operational teams use data, and you use that context to align people around better technical choices
• You lead through others
• You create leverage not by writing more SQL, but by setting patterns, reviewing designs, unblocking teams, and raising the standard
• You’re energised by making 30+ people more effective, not by being the single expert
• You communicate across altitudes
• You can whiteboard a data architecture with a back-end engineer in the morning and present a strategic data roadmap to a director in the afternoon
• You adapt your message to your audience without losing precision
• You care about credit products

Условия

• £121,600-164,600 + Incentive Awards tied to your performance and benefits
• We can help you relocate to the UK
• We can sponsor visas
• This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team
• Learning budget of £1,000 a year for books, training courses and conferences
• And much more, see our full list of benefits here
• LI-AS #LI-Remote
• Equal opportunities for everyone
• Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo
• At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us
• This is integral to our mission of making money work for everyone
• You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report
• We’re an equal opportunity employer
• All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status
• 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
• With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
• We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
• Staff Analytics Engineer - Borrowing
• London/Cardiff/UK Remote | 💰 £121,600-164,600 + Incentive Awards tied to your performance and benefits | Hear from the team ✨
• Our Borrowing Analytics Engineering Team

Как проходит отбор

• Our typical process is structured as
• Recruiter call
• Initial call
• 3 x 1 hours sessions (final interview)
• Our average process takes around 3-4 weeks but we will always work around your availability

Паспорт вакансии

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