Data Engineer

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Build the data foundations Kernel runs on, turning raw data from across the business into clean, trusted models that power better decisions for Kiwi investors. About the role Kernel is growing quickly, and so is our need for good data. We have a modern cloud data warehouse up and running, but there's a lot of untapped data sitting across our systems, and we want to bring it together so the whole business can use it. This is an important first hire as we build out our data capability, with a real opportunity to set strong foundations for how data works at Kernel. You'll own the journey from raw data into our warehouse, building the models, pipelines and automated checks that turn it into clean, trusted datasets. You'll work closely with our insights team and alongside the software engineers who land data from our source systems. You'll report to our Chief Technology Officer. Our stack today includes Snowflake and dbt, but we care more about how you think than which tools you've used. This is a data engineering role rather than an analytics one: dashboards and reporting sit with our insights team, and your focus is making sure the data behind them is accurate, well-modelled and built to grow. About Kernel We're a 100% Kiwi owned and operated fintech on a mission to make wealth accessible for every Kiwi. Our investment platform brings together KiwiSaver, Managed Funds, US shares and ETFs, and Smart Saver accounts, all in one place, and is trusted by 70,000+ investors. We're at a

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.