Lead Analytics Engineer
Job Description
What you’ll do:
- Architect and maintain high-quality, scalable analytics data models using dbt in BigQuery.
- Lead the implementation and strategic buildout of Looker and the semantic layer, while driving end-to-end metrics standardization from data models to dashboards.
- Own the ingestion, modelling, and reliability of clickstream data (e.g., Snowplow).
- Collaborate with Data Platform and Engineering to optimise data pipelines and reduce latency or duplication.
- Partner with Data Science to develop reusable, production-grade datasets that support experimentation.
- Build and maintain CI/CD pipelines, testing coverage, and documentation for analytics codebases.
- Monitor and optimise query performance for cost and responsiveness.
- Mentor teammates and champion best practices in analytics engineering and data enablement.
What we’re looking for:
- 5+ years in Analytics Engineering or BI Engineering, with strong individual contributor impact.
- Expert in SQL, dbt, and cloud data warehouses—ideally BigQuery.
- Experience working with clickstream data sources, especially Snowplow.
- Proven success implementing and managing Looker, including semantic layer design.
- Strong understanding of ELT architecture, data quality frameworks, and orchestration tools like Airflow.
- Excellent collaboration and communication skills across technical teams.
Nice-to-haves:
- Familiarity with C# and backend event schema design.
- Experience with GCP services such as Composer, Dataform, and Cloud Functions.
- Background in travel tech or consumer-facing platforms.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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