London/UK Remote | 57,800-75,000 Incentive Awards tied to your performance and  Benefits | Hear from the team

About our Analytics Engineering Team:

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. The 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. 

You'll be an individual contributor in our Analytics Engineering team, working across a variety of projects to spot patterns in the way we build our Data Warehouse and optimise our BI platform, Looker. Youll help us load and transform even more data, minimise our cloud costs, contribute using our best practices, keeping quality high.

We are at an exciting stage in our growth and have roles available across Growth and Finance, so do let us know if youre interested in a specific area.

What youll be working on 

Your day-to-day   

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.
• Youre 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)
• Take home task
• 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.

Youll hear from us throughout the application process, but if youve got any questions, please reach out to tech-hiring@monzo.com. You can also use this email address to let us know if theres anything we can do to make the process easier for you because of disability, neurodiversity or anything else.

Well only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you dont miss out. 

Whats in it for you:

57,800-75,000 and Benefits

We can sponsor your visa.

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, and at times that suit you and your team. 

1,000 learning budget each year to use on books, training courses and conferences.

We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

Plus lots more! Read our full list of benefits

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