Data & BI Engineer (BigQuery, Spanner & Looker)
Core
Design, build, and operate data models, pipelines, and reporting layers for a KOL/influencer marketing platform using Cloud Spanner, BigQuery, and Looker.
Role type
Senior Data & BI Engineer (GCP)
Builds
Trusted analytics dashboards, data pipelines, and semantic layers for campaign lifecycle reporting.
Domain
Marketing technology / Influencer marketing / Cloud Data Engineering
Required skills
SQL, Cloud Spanner, BigQuery, Looker/LookML, Python, Terraform, Data Modeling, Data Quality, GCP Pipelines
Preferred skills
GCP Professional Data Engineer, Looker LookML Developer, Terraform Associate, dbt, Dataform
Technologies
Cloud Spanner, BigQuery, Looker, Terraform, Python, Cloud Workflows, Pub/Sub, Cloud Run, Cloud Scheduler, Secret Manager, Cloud Logging
Responsibilities
Design and optimize Cloud Spanner schemas and transactions; Build GCP data pipelines moving data from Spanner to BigQuery; Model BigQuery warehouse with partitioning and clustering; Develop Looker semantic layer and dashboards; Ensure data quality and freshness across systems; Integrate third-party social and internal data; Optimize query performance and costs.
Seniority
Senior, hands-on IC