Analytics Engineering Senior Lead, Business Banking
London
Monzo
Join over 9 million people with a Monzo bank account. Free current accounts, joint accounts and business banking for all! We make money work for everyone🚀 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/Cardiff/UK Remote | 💰 £ Salary + Benefits | Hear from the team ✨
⭐Our Business Banking team
Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and Analytics Engineers are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses.
🔑You’ll play a key role by...
- Serving as a data architect for Monzo’s Business Banking data, contributing to the design and scalability of data models that measure the performance of our Business Banking product suite.
- Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, as well as financial and regulatory use cases.
- Help shape and maintain best practices for our Data Warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
- Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
- Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
- We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role
🤩We’d love to hear from you if…
- You have a strong passion for data modelling, ETL projects, and Big Data.
- You enjoy working 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 Warehousing concepts.
- You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.
- You have experience building robust and reliable data sets that require a high level of control.
- You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
- You are able to 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 are excited about enabling other data scientists and analytics engineers by sharing your expertise on data architecture.
🙌What’s in it for you
💰£salary ➕share options
✈️ We’ll help you relocate to the UK
✅ We can sponsor your visa
📍This role can be based in our London or Cardiff offices, 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.
🌈 The application journey has 3 key steps:
- Initial Call
- Take home task
- Final Stage
Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com.Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.
This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible!
You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to Tech-hiring@monzo.com. 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.
#LI-SL1 #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, 2022 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Big Data BigQuery Data governance Data warehouse Data Warehousing Engineering ETL Machine Learning Pipelines SQL Testing
Perks/benefits: Career development Conferences Equity Flex hours
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