Monzo - Lead Analytics Engineer

• 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. • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role. • Locations & flexible working: • Our main tech hub is in London, but our data teams are based all over the UK. • We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. • We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. • Work the way that works for you at Monzo! 💼 • You should apply if: • 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.