Job Description

We’re looking for a pragmatic and hands‑on Full Stack Data Engineer to take end‑to‑end ownership of our data platform. We work with a founder’s mindset: act with urgency, make pragmatic trade‑offs, and focus on the data problems that matter most to our users and the business. A key part of this role is data democratisation: bringing trusted data to everyone at Coople in a way that is easy to use, discoverable, and consistent. As a data‑driven organisation, we make data available “everywhere” to enable data to deliver a tangible added value for our customers.

Our core stack includes Databricks (Data Lake) and Power BI (reporting). The next step is to evolve our data development environment and data stack into an AI‑first setup: we want to use AI wherever it creates leverage (development, testing, documentation, data quality checks, incident response, and stakeholder enablement), and continuously optimize our stack and ways of working for faster, safer delivery.