Responsibilities
- 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.
- Developing 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.
- Being 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.
- Contributing 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
- Strong passion for data modelling, ETL projects, and Big Data.
- Experience 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.
- Commitment to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
- Experience building robust and reliable data sets that require a high level of control.
- Enjoy working with cross functional fast moving teams and are passionate about serving our customers.
- Ability 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.
- Excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
- Ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
- Ability to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
- 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.
Benefits
- Relocation assistance
- Visa sponsorship
- Flexible working hours
- Learning budget of £1,000 a year for books, training courses and conferences
Work Arrangement
Hybrid
Additional Information
- We can help you relocate to the UK
- We can sponsor visas
- This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- Learning budget of £1,000 a year for books, training courses and conferences
