Lead Analytics Engineer, Borrowing

Role Overview

• Serving as a data architect for Monzo’s Borrowing data, contributing to the design and scalability of data models that measure the performance of our 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.
• 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 Borrowing and beyond.

Requirements

• 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 Borrowing 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.

Tech Stack

• BigQuery
• ETL
• SQL

Benefits

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