Senior Data Engineer

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. Success looks like an analytics foundation that’s predictable, fast, and easy to extend—powering dashboards to ML models. As the platform scales, there will be opportunities to extend this foundation—designing for higher data volumes, streaming complexity, and broader cross-team data needs.

Qualifications

Working with us

LifeCheq values technical depth, autonomy, and clear thinking. You’ll be part of a small, capable team that enjoys solving hard problems together and takes pride in doing things properly. It’s a collaborative, engineering-driven environment where well-reasoned decisions carry weight and where your ideas will be taken seriously. There’s plenty of room to shape systems and standards—so long as they’re driven by sound reasoning and a clear-eyed view of trade-offs.

This is a fully remote role, and we ask for availability during our core hours (10 : 00 - 16 : 00 GMT+2).

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