🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!
We’re not about selling products - we want to solve problems and change lives through Monzo ❤️
📍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. You’ll 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 you’re interested in a specific area.
What you’ll 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.
- 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)
- 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.
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.
We’ll 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 don’t miss out.
What’s 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
#LI-AS 1 #LI-REMOTE
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. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
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.
If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊
Skills Required
- Experience with data modelling, ETL projects, and Big Data as an engineer, developer or analyst.
- Proficiency with SQL.
- Familiarity with data warehousing concepts.
- Experience building pipelines and data models in BigQuery (or equivalent cloud data warehouse).
- Attention to detail and commitment to data quality.
- Ability to work collaboratively in multi-disciplinary data/engineering squads.
What We Do
At Monzo, we’re building a new kind of bank. One that lives on your smartphone and built for the way you live today. By solving your problems, treating you fairly and being totally transparent, we believe we can make banking better.
