About the company:

We’re building the best bank in the world – a bank you’d be proud to use – and that means bringing together a talented team with diverse experiences, backgrounds and skills.

We believe there should be an alternative to the banking of the past: we’re focused on solving problems, rather than selling financial products, making your financial life simpler, and giving you complete control from your smartphone.

Internally, we encourage an open, collaborative, inclusive working environment. We contribute to open source software. You can see what we have planned on our public product roadmap, and we continually engage with our wonderful community.

The Role:

You’ll be helping to take Monzo’s data capabilities to the next level. Building a data platform that ensures strong data integrity, scales cost efficiently to millions of users (or TBs of new data a day) and enables performant real-time streaming applications.

We are building a state-of-the-art microservices platform based on the learnings of Netflix, Twitter and Google. We’ve posted a good overview of our platform on our blog. This approach, however, comes with it’s challenges on the data and analytics side as we constantly need to ensure that we maintain strong data integrity. As a regulated bank, it is particularly important to make sure that we are running the company and making our decisions based on rock solid data.

As we expect to scale rapidly to millions of customers over the next few years we need to ensure that our data infrastructure is able to keep pace with that growth in a cost efficient way, without compromising on the robustness and security.

Finally, help us to develop infrastructure for real-time streaming applications which will allow us to explore massive data sets interactively and run machine learning models in real time on event streams.

If you are interested to read more on how we think about data and analytics, take a look at this blog post: https://monzo.com/blog/2016/11/30/laying-the-foundation-for-a-data-team/

Tagged as: AWS, GO, googlecloud, kafka, kubernetes, microservices