Overview Join to apply for the Senior Data Engineer role at Lifecheq . You’ll take ownership of our analytics data layer and work closely with our Platform and ML squads. Your job is to build a fast, clean, and reliable system that integrates backend data from an event-sourced architecture, external services, and JSON-based event logs—then serves performant, well-modelled views to analysts, ML pipelines, dashboards, and the product frontend. Responsibilities Designing a real-time ingestion pipeline for event-sourced data streams and JSON logs on S3 for low-latency performance. Defining a clear semantic model and restructuring existing views into a maintainable, well-layered architecture. Ensuring a reasonable compute budget and building structured views that can be safely used across analytics, reporting, and application layers. Cleaning up pipeline logic to reduce latency, improve readability, and lower cognitive load. This work is central to unlocking productivity across the business...