Senior Analytics Engineer

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best-in-class analytics and Data Science., * Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.

• Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
• Help define and manage best practices for our Data Warehouse, including payload design of source data, logical data modelling, implementation, metadata and testing standards.
• Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.
• Take established best practices and standards defined by the team, applying them within other areas of the business.
• Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
• Contribute to prioritisation of data governance issues.
• We all own and support the pipelines we contribute to, and on-call support out of hours will be expected from time to time., * 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.
• See our full list of benefits here.

• You enjoy working with cross-functional fast-moving teams and are passionate about serving small businesses.
• You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
• 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., * Any experience working within a finance function or knowledge of accounting.
• Experience working in a highly regulated environment (finance, gaming, food, health care).
• Knowledge of regulatory reporting and treasury operations in retail banking.
• Exposure to Python, Go or similar languages.
• Experience working with orchestration frameworks such as Airflow or Luigi.
• Experience using dbt, dataform or similar tooling.
• Familiarity with Agile ways of working (Kanban, Scrum).