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About the Role

We are looking for a Staff Analytics Engineer to help shape how Borrowing builds and uses data at scale. You will work across product, credit, engineering, Data Platform, and analytics engineering teams to turn complex technical problems into clearer systems, stronger data products, and better business decisions.

Responsibilities

• Architect Borrowing’s data layer at scale, partnering across teams to shape how models are structured, connected, and evolved.
• Set shared patterns to help teams build trusted, consistent, and scalable data products across Borrowing.
• Design and govern data products, moving beyond ad-hoc tables toward well-defined, contractual data assets with clear ownership, SLAs, documentation, and interfaces.
• Define what makes a Borrowing dataset “production-grade” and consumable by various teams.
• Build feature stores and reusable analytical assets by identifying cross-product signals to be modelled once and consumed by many.
• Design the layer that turns raw product data into curated, versioned features for models, dashboards, and decisions.
• Scale analytics engineering infrastructure by shaping tooling, patterns, and developer experience to increase productivity.
• Influence data architecture and ways of working across data and credit disciplines.
• Partner with the central Data Platform team to ensure Borrowing’s needs are reflected in ingestion, streaming, and schema contract design.
• Drive cross-product data consistency by defining shared conventions and abstractions for coherent and comparable data models.
• Act as a senior technical partner for Borrowing’s data estate, partnering with backend engineers, product managers, credit teams, and senior leadership.
• Lead through influence and leverage by setting patterns, unblocking architectural decisions, and raising the bar on quality.
• Shape how an entire domain builds data without directly managing people.

Requirements

• Thinks in systems, not just queries.
• Has designed data architectures that span multiple products or domains and knows how to keep them coherent as they scale.
• Can take ambiguous problems and turn them into a clear technical direction, delivery sequence, and set of trade-offs.
• Has built data products, not just data models.
• Understands the difference between a table that exists and a data asset that is governed, documented, versioned, discoverable, and trusted.
• Has defined SLAs, contracts, interfaces, or ownership models for data consumers.
• Has deep fluency with analytics engineering systems and infrastructure, including dbt at scale, BigQuery or equivalent, CI/CD for data, testing frameworks, and orchestration.
• Has hit scaling limits and knows what to do about them.
• Can design reusable feature layers that serve multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting.
• Understands the trade-offs between freshness, cost, granularity, correctness, and ease of use.
• Is comfortable at the platform boundary and can have productive conversations about ingestion patterns, streaming vs. batch trade-offs, schema evolution, and infrastructure costs.
• Connects technical choices to business outcomes and understands how teams use data.
• Creates leverage by setting patterns, reviewing designs, unblocking teams, and raising standards.
• Can communicate across altitudes, adapting messages to the audience without losing precision.
• Is excited or curious about the complexity of credit products, including risk, affordability, regulatory constraints, and multi-product dynamics.

Skills

• dbt at scale
• BigQuery or equivalent
• CI/CD for data
• Testing frameworks
• Orchestration

Location

• London
• Cardiff
• UK Remote

Work Type

• Remote
• Hybrid

Experience Level

• Staff

Salary/Compensations

• £121,600-164,600

Benefits

• Stock
• Relocation assistance to the UK
• Visa sponsorship
• Flexible working hours
• Learning budget of £1,000 a year for books, training courses and conferences

About the Company

• We’re on a mission to make money work for everyone.
• We are waving goodbye to the complicated and confusing ways of traditional banking.
• Our product offering has grown a lot in the last 10 years in the UK, including personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account, credit cards, savings, investments, and pensions.
• We have a history of creating magical moments for our customers with hot coral cards, get-paid-early features, financial education, and award-winning customer service.
• We are not about selling products; we want to solve problems and change lives through Monzo.

Equal Opportunity

• Diversity and inclusion are a priority.
• We are fostering an inclusive environment for all people to do the best work of their lives.
• 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.
• We are an equal opportunity employer.