Analytics Engineering at Monzo
Analytics Engineering is at the core of how we build our data to enable Monzo to make better and faster decisions by having a performant, scalable, and high quality data warehouse. As an Analytics Engineer, you will work collaboratively with product, engineering, and data science to build downstream data models from backend services, support internal reporting, machine learning, financial and regulatory use cases, and optimise the data warehouse.
Responsibilities
- Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning, and 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, collaborating with others to make it happen.
- Apply established best practices and standards defined by the team 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.
- Own and support the pipelines you contribute to; on call support out of hours may be expected from time to time.
Qualifications
- 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 work comfortably 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 Warehouse 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.
- 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 with dbt, dataform or similar tooling.
- Familiarity with agile ways of working (Kanban, Scrum).
Benefits
- We can help you relocate to the UK.
- We can sponsor visas.
- This role can be based in our London office, but we are open to distributed working within the UK with occasional 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.
- And much more - see our full list of benefits.
Equal opportunities for everyone
Diversity and inclusion are a priority for us and we're making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we're embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us.
We're an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.