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 ...