
What is a Staff Engineer at Cleo?
The role of Staff Engineer at Cleo, explained by Fell.
Signing up takes 2 minutes. Scan this QR code to send the app to your phone.
Or head to the app store:
Learn more about our Analytics Engineering team. They do some cool stuff.
Our Analytics Engineers are an awesome team of people who champion data analysis at Cleo with determination, resourcefulness, and a contagious sense of humour.
Want to hear more? You’re in the right place.
Andrea, Analytics Engineer Lead, explains why the AE team exists and how they enable our squads to deliver greater value to our users.
Our Vision: Everyone at Cleo can instantly access the information they need to build better products faster.
Our Mission: Ensure equal access to rich, accurate, and reliable data that drives impactful analysis and fast decision making
Our Promise: Good quality data, on time, every day
We collaborate with everyone at Cleo, including product analysts, data scientists, engineers, product managers, designers, user researchers, copywriters, and leadership. Together, we define clear requirements, establish timelines, set expectations, and deliver value — all while seeking feedback to ensure our colleagues' data needs are met.
In the next year, we will focus on 3 main areas to improve our ways of working and stay up to date with the latest trends.
Detecting anomalies early is crucial to ensuring the reliability and accuracy of our data. We’re looking into using a variety of techniques like statistical modeling and machine learning to spot anomalies in the data and the metrics we calculate.
We work with Data Engineers to define a data ingestion framework that will enable analytics engineers to ingest data in an efficient and standard way. This will help reduce the current time to insight, meaning we can deliver value to our users quicker than ever.
We aim to improve the accessibility and democratisation of data by integrating LLMs with our tech stack. This will help people at Cleo to access data more easily and efficiently.
We’ll be measuring success by the impact of our solutions on Cleo, as well as the feedback from our colleagues.
In terms of metrics, we’ll look to track the accuracy and reliability of our data, the speed and efficiency of our data pipelines and analytics solutions, and the satisfaction of our colleagues with the support and services we provide.
We’re looking for Analytics Engineers and Data Scientists to join our team.
The role of Staff Engineer at Cleo, explained by Fell.
Last year, our Heroku Postgres database was fast approaching its 3TB storage limit, the maximum size that Heroku supports at time of writing. To make sure our community of 4 million people could continue to work on their financial health with Cleo, it was essential to migrate away from Heroku as quickly and smoothly as possible.
Cassie, Technical Lead, explains how we approach production incidents and outlines our on-call process for Engineering.