Data Engineer

• Core data modelling: Design and own the core data models that everything else depends on, making them clean, trusted and easy to build on.
• Modelling at source: Work inside the product and engineering codebase to ensure data is captured and structured correctly from the start, before it ever reaches the warehouse.
• Pipelines: Build and maintain the pipelines that connect our systems, so data flows through the business correctly and reliably.
• Self-serve platform: Make the data platform genuinely self-serve, so product, growth, commercial and ops teams (and our agents) can answer their own questions without coming to you.
• Agents as consumers: Treat agents as first-class consumers of the data layer, structuring data so they can do analytical work accurately and at scale.
• Metrics that matter: Partner with the team on the metrics that matter, from acquisition and activation through to matching quality and commercial performance.
• Answers, not just queries: Turn ambiguous business questions into the right data model, the right metric and a clear answer.
• Standards: Set the standards for data quality, definitions and instrumentation across Dex.

Founding Data Engineer