Staff Analytics Engineer

Salary: £30,000 - 50,000 per year

Requirements

• We think in systems, not just queries, and have designed data architectures that span multiple products or domains.
• We have built data products that are governed, documented, versioned, discoverable, and trusted.
• We have deep fluency with analytics engineering systems and infrastructure, including dbt at scale, BigQuery or equivalent, CI/CD for data, testing frameworks, and orchestration.
• We have designed, contributed to, or have a clear vision for reusable feature layers serving multiple consumers, including ML pipelines, dashboards, decisioning engines, and regulatory reporting.
• We are comfortable at the platform boundary and can discuss ingestion patterns, streaming vs. batch trade-offs, schema evolution, and infrastructure costs.
• We connect technical choices to business outcomes and understand how product, credit, engineering, and operational teams use data.
• We lead through others by setting patterns, reviewing designs, unblocking teams, and raising the standard.
• We communicate across different levels of detail and can tailor our message to technical and senior audiences.
• We care about credit products and are interested in lending, including risk, affordability, regulatory constraints, and multi-product dynamics.

Responsibilities

• Architect our Borrowing data layer at scale across Analytics Engineering, Product, Engineering, Credit, and Data Platform.
• Design and govern our data products, moving beyond ad-hoc tables toward well-defined, contractual data assets with ownership, SLAs, documentation, and interfaces.
• Build feature stores and reusable analytical assets that turn raw product data into curated, versioned features for models, dashboards, and decisions.
• Scale our analytics engineering infrastructure by shaping tooling, patterns, and developer experience for a large credit and data organisation.
• Drive cross-product data consistency as we expand across geographies and product lines.
• Act as a senior technical partner for our data estate, working 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 across the domain.

Technologies

• Architect
• BigQuery
• Backend
• CI/CD
• Support
• dbt
• SQL

More

Were Monzo, and our mission is to make money work for everyone by replacing complicated traditional banking with simpler, more useful products. Our UK offering includes personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account, credit cards, savings, investments, and pensions. Were known for our hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service. This Staff Analytics Engineer - Borrowing role is based in London, Cardiff, or remotely within the UK, with ad hoc meetings in London. We offer a salary of 121,600-164,600 plus incentive awards and benefits, flexible working hours, support for relocation to the UK, visa sponsorship, and a learning budget of 1,000 per year for books, training courses, and conferences. Our interview process typically includes a recruiter call, an initial call, and three 1-hour final interview sessions over around 3-4 weeks. We are committed to diversity, inclusion, and equal opportunity for all applicants.

last updated 34 week of 2026