Join Monzo's Trailblazing Team to Reinvent Banking and Make Money Work for Everyone
Overview
No salary declared 😔
London
Expires at anytime
Visa sponsor - US
Organisation Summary
Monzo is revolutionizing the financial world with its customer-centric approach and innovative features like the hot coral cards and early salary access. With an emphasis on solving problems rather than selling products, Monzo is committed to changing lives and has been recognized for its exceptional customer service. As a part of our dynamic team, you'll contribute to an inclusive mission that's all about making money work for everyone. This is your chance to be part of a company that values diversity and is at the forefront of the banking industry's transformation.
Role Summary
- Collaborate in a multi-disciplinary squad to build robust data pipelines and models, supporting internal reporting and machine learning.
- Optimize the Data Warehouse, reducing complexity and costs while ensuring data quality.
- Define and manage best practices for data warehousing, including design, modelling, metadata, and testing standards.
- Work across various projects to improve our BI platform, Looker, and contribute to the team's best practices.
- Engage in exciting new growth areas within the Analytics Engineering team, with opportunities in Growth and Finance.
Role Requirements
- Experience and passion for Data Modelling, ETL projects, and Big Data.
- Proficiency with SQL and data modelling techniques.
- Understanding of Data Warehousing concepts and keen attention to detail.
- Eagerness to join a growing team and explore new challenges.
Application Process Details
- Initial Recruiter Call (30 mins) followed by a call with the Hiring Manager (45 mins).
- Completion of a take-home task.
- Final Loop with two hour-long interviews focusing on a Case Study and Collaboration & Impact.
- The interview process is designed to be completed in about 3-4 weeks, with flexibility to accommodate your schedule.
- Guidelines and support for using AI during your application and interview process are available.
- Direct any inquiries or special accommodation requests to tech-hiring@monzo.com.
Monzo offers benefits like relocation assistance, visa sponsorship, a generous learning budget, and a comprehensive work-from-home setup. Learn more about our commitment to diversity, inclusion, and equality at Monzo by reading our latest reports and benefit summaries.
🚀 We’re on a mission to make money work for everyone.
We’re waving goodbye to the complicated and confusing ways of traditional banking.
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 ❤️
Hear from our team about what it's like working at Monzo ✨
📍London / Remote + 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 Collaboration & Impact
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 removed - click apply for more details]. 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:
✈️ We’ll help you relocate to the UK.
✅ 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-OD1 #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, 2023 Diversity and Inclusion Report and 2023 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 😊