Senior Analytics Engineer — Looker / LookML (Multi-Tenant BI)

Work setup: Fully remote
Engagement: Project-based, ~6 months, with likely extension depending on business needs
Role summary
We are looking for a senior data / analytics engineer specialising in Looker (LookML) to lead the modelling and presentation layer that turns raw Google Cloud data into governed, self-service insight for our clients.
The heart of the role is running a complex, multi-tenant Looker environment. You will maintain a LookML layer that uses dynamic properties and user attributes to route each user to their own BigQuery dataset — keeping this shared "single model, many tenants" architecture secure, scalable and fast.
Required skills & experience
Looker / LookML — expert-level: building complex models and managing Looker instances.
Version control — managing branches and repositories for models, dashboards and metrics.
Advanced SQL — strong command of SQL for Google BigQuery, including window functions and nested / repeated fields.
Multi-tenancy — managing data access and security filtering for multiple external clients within a single BI platform.
Data governance — using Liquid variables and user attributes in Looker to drive dynamic, context-specific content.
User administration — managing Looker groups, roles and users, including custom attributes per user.
GCP — a general understanding of Google Cloud resource structures, enough to interpret the incoming data correctly.
Experience requirements
3+ years working with LookML.
5+ years working with SQL.
3+ years working with Google Cloud Platform (GCP).
4+ years working with Google BigQuery.