Senior Analytics Engineer

Salary: £30,000 - 50,000 per year

Requirements

• 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.
• Experience working within a finance function or knowledge of accounting is a nice to have.
• Experience working in a highly regulated environment is a nice to have.
• Knowledge of regulatory reporting and treasury operations in retail banking is a nice to have.
• Exposure to Python, Go, or similar languages is a nice to have.
• Experience working with orchestration frameworks such as Airflow or Luigi is a nice to have.
• Experience using dbt, Dataform, or similar tooling is a nice to have.
• Experience with Agile ways of working such as Kanban or Scrum is a nice to have.

Responsibilities

• 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 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 you contribute to, with out-of-hours on-call support expected from time to time.

Technologies

• Airflow
• Big Data
• BigQuery
• Backend
• Data Warehouse
• ETL
• Support
• Kanban
• Machine Learning
• Python
• SQL
• dbt
• Business Intelligence

More

We are Monzo, on a mission to make money work for everyone by replacing complicated traditional banking with simple, helpful products. Our UK offering has grown from a prepaid card to include personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account, credit cards, saving, investing, and pension combining. We are known for our hot coral cards, get-paid-early feature, financial education on social media, and award-winning customer service. Analytics Engineering is a core discipline at Monzo, with around 60 analytics engineers among roughly 300 data practitioners, and we work closely with product, engineering, and data science to build a high-quality, scalable data warehouse. This role can be based in our London office, Cardiff, or remotely within the UK, with ad hoc meetings in London, flexible working hours, relocation support, visa sponsorship, and a learning budget of £1,000 per year for books, training courses, and conferences.

last updated 34 week of 2026