Data Engineer

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Description

We’re looking for a pragmatic and hands-on Full Stack Data Engineer to take end-to-end ownership of our data platform. 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 want to evolve to an environment where data is truly available “everywhere” and is a default input into day-to-day and strategic decisions. 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. To make data accessible, we also want to enable conversational access to data (a chat interface for metrics, definitions, and insights) so that non-technical stakeholders can reliably get answers fast, with clear context and trust signals. You will work closely with development teams and stakeholders in Warsaw (partly in person/hybrid) and you’ll often act as the “glue” between product engineering, business users, and clients in other locations too. : End-to-end data ownership Own the full data lifecycle: ingest data from source systems, build and maintain reliable pipelines into the Data Lake, and curate

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