Monzo - Analytics Engineer

• Working in a multi-disciplinary data / engineering squad, you will: • Support the building of robust pipelines and data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. • Build with optimisation of our Data Warehouse in mind, spotting and raising opportunities to reduce complexity and cost. • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. • Follow our established best practices and standards defined by the team. • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse. • You should apply if: • You have some experience and a passion for Data Modelling, ETL projects and Big Data as an engineer, developer or analyst. • You are confident with SQL and data modelling. • You are comfortable with general Data Warehousing concepts. • You have an eye for detail. • You’re ready to be part of a growing team in new areas of growth! • The interview process: • Our interview process involves 4 main stages: • Recruiter Call (30 mins) • Initial Call with Hiring Manager (45 mins) • Final Loop consisting of x2 hour long interviews to assess a Case Study and Behavioural • This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible! • We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. • You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to [email protected]. You can also use this email address to let us know if there’s anything we can do to make the process easier for you because of disability, neurodiversity or anything else.