Lead Analytics Engineer

Monzo Bank

Lead Analytics Engineer focusing on improving data architecture and standards in Monzo's Operations team. Driving enhancements in data modeling and analytics for operational effectiveness across business functions.

Posted 6/18/2026full-timeCardiff • 🇬🇧 United KingdomSenior💰 £97,800 - £125,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryETLSQL

About the role

Key responsibilities & impact

Serving as a data architect for Monzo’s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations product suite.
Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers)
Be a key voice in shaping and maintaining best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Operations and beyond.

Requirements

What you’ll need

You have a strong passion for data modelling, ETL projects, and Big Data.
You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
You have experience building robust and reliable data sets that require a high level of control.
You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations and Analytics Engineering.
Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders.

Benefits

Comp & perks

Learning budget of £1,000 a year for books, training courses and conferences
We can help you relocate to the UK
We can sponsor visas
Flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
And much more, see our full list of benefits here

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingETLBigQuerySQLData Warehousingmachine learninglarge language modelsdata governancedata integritymetadata

Soft Skills

continuous improvementstrategic thinkingcross-functional collaborationstakeholder communicationleadershipknowledge sharingproblem-solvingproject managementinfluencingchampioning initiatives