Staff Analytics Engineer

Overview

Job Description

Responsibilities

• - Set and raise the bar on analytics engineering standards.
• - Define the patterns, testing, and review practices that keep dbt models across the business consistent, documented, and trustworthy without you personally checking every one.
• - Own the context layer.
• - Bring the semantic layer (Omni) and the underlying domain models together into one place the business, human or AI, can query with confidence.
• - Build the domain model from first principles.
• - Expand analytics engineering's reach across the business.
• - Help tem think bigger.
• - Partner across the business, not just the data team.

Required Skills

• - You've built or reworked a domain layer before, hit the failure states, and learned what good looks like the hard way.
• - Deep, production dbt experience: custom macros, reusable patterns, and real work optimising models that are genuinely expensive to run.
• - Excellent SQL and comfort working on a modern data warehouse at real scale (tem runs ClickHouse).
• - Hands-on experience with a semantic layer or BI modelling tool (Omni, Looker, or similar).
• - A genuine eye for detail and real QA discipline.