Remote Senior Analytics Engineer

• Support the building of robust data models downstream of backend services, mostly in BigQuery, to support internal reporting, machine learning, and financial and regulatory use cases.
• Focus on optimising our Data Warehouse by 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 and apply them within other areas of the business.
• Investigate and work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
• Contribute to prioritisation of data governance issues.
• Own and support the pipelines we contribute to, including occasional out-of-hours on-call support.

Technologies:

• Airflow
• Big Data
• BigQuery
• Backend
• Business Intelligence
• Data Warehouse
• ETL
• Support
• Kanban
• Machine Learning
• Python
• SQL
• dbt, We are hiring for our Analytics Engineering team, which is responsible for building downstream data models from backend services to make our Data Warehouse a genuine competitive advantage. We support decision making, Business Intelligence, key financial reconciliation processes, and best-in-class analytics and Data Science. This role can be based in our London office, in Cardiff, or remotely within the UK, with ad hoc meetings in London. We offer flexible working hours, a £1,000 annual learning budget for books, training courses, and conferences, and a full benefits package. We also support part-time working where possible. Our interview process typically takes around 3 weeks and includes a recruiter call, a call with the hiring manager, a take-home task, and a two-part final stage.

• Wed love to hear from you if you enjoy working with cross-functional, fast-moving teams and are passionate about serving small businesses.
• You can 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.
• Nice to have: experience working within a finance function or knowledge of accounting.
• Nice to have: experience working in a highly regulated environment, such as finance, gaming, food, or health care.
• Nice to have: knowledge of regulatory reporting and treasury operations in retail banking.
• Nice to have: exposure to Python, Go, or similar languages.
• Nice to have: experience working with orchestration frameworks such as Airflow or Luigi.
• Nice to have: experience using dbt, Dataform, or similar tooling.
• Nice to have: experience with Agile ways of working, such as Kanban or Scrum.