Engineering Lead (w/m/d)

For too long, banking has been obtuse, complex and opaque. We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves. We're focused on solving problems, rather than selling financial products. About our Fincrime Data Team: Our Mission in Financial Crime & Fraud is to earn and keep our customers’ trust, support Monzo’s safe growth, and contribute to building a safer society. 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 protect Monzo’s customers from Fraud and Financial crime. At the core of this mission sits our data platform. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. Serve as a data architect for Monzo’s Financial Crime and Fraud data, contributing to the design and scalability of data models that measure the effectiveness of fraud and financial crime controls. 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 modeling, implementation, metadata, and testing standards. Collaboratively set standards and work with data across the Financial Crime and Fraud domain, fostering knowledge sharing and continuously improving data practices. Contribute to prioritizsng data governance issues, ensuring a comprehensive approach to data integrity and compliance. You have a strong passion for data modeling, ETL projects, and Big Data, with experience as a developer or analyst. You enjoy working with data streams from various services, such as financial, transactional, and operational systems. SQL and data modeling are second nature to you, and you are comfortable with general Data Warehousing concepts. You have experience building robust and reliable data sets that require a high level of control. 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. We can help you relocate to the UK We can sponsor visas 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, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. You can read more in our blog , 2022 Diversity and Inclusion Report and 2023Gender Pay Gap Report. 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. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor. Keeping your data safe is really important to us. * This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. It'd be helpful if you still fill out the survey even if you choose 'prefer not to say' for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not. By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us. Do you identify as having a disability?