Analytics Engineer: Build a Scalable Data Warehouse

Ohme

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

10 days ago
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Benefits offered by this job

London office 3 days a week in the off
Private health insurance
Pension scheme
Life assurance (4x salary)
Income protection
Ride to work scheme
Season ticket loan
Eye tests

Job summary

Ohme is seeking an Analytics Engineer in London to own a scalable analytics platform from data lake to semantic layer. You will manage the Snowflake warehouse and dbt project, focusing on data quality, cost efficiency, and observability.

The role emphasizes product thinking for analysts and AI tooling, with end-to-end ownership of the analytics pipeline. You’ll collaborate across teams, apply AI-driven tooling where appropriate, and help shape architecture and standards while delivering

Qualifications

  • Strong SQL and dimensional modelling experience.
  • Experience with Snowflake, dbt and semantic layers.
  • Ability to build trusted analytics platforms for multiple stakeholders.
  • Budget-aware data warehouse ownership and observability.

Responsibilities

  • Own the Snowflake warehouse and dbt project, including data models and costs.
  • Ensure data quality, reliability, monitoring, and timely alerting.
  • Manage warehouse as a product for analysts, business users and AI tooling.
  • Champion best practices, code reviews and scalable analytics engineering.

Skills

SQL
Dimensional modelling
Problem solving
Cross-functional collaboration
Ownership
Communication

Tools

Snowflake
dbt
LookML
Omni
Claude Code
Cursor
Terraform
Python
AWS

Job description

Ohme is seeking an Analytics Engineer in London to own a scalable analytics platform from data lake to semantic layer. You will manage the Snowflake warehouse and dbt project, focusing on data quality, cost efficiency, and observability.

The role emphasizes product thinking for analysts and AI tooling, with end-to-end ownership of the analytics pipeline. You’ll collaborate across teams, apply AI-driven tooling where appropriate, and help shape architecture and standards while delivering

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