TE-1521- Data Engineer

About the role

We are looking for a Staff Data Engineer to own our end-to-end data platform — from raw event ingestion, through the warehouse, to the analytics marts that the business, product and marketing teams rely on every day. You will be the person who makes sure the numbers we make decisions on are accurate, fresh, reproducible and trusted.

What you'll do

• Warehouse architecture and modelling — BigQuery (or equivalent) as the single source of truth, designed to serve both analytics and activation use cases
• Dbt project ownership — model layering (staging → intermediate → marts), naming conventions, tests, documentation, exposures
• Identity resolution in the warehouse — stitching anonymous, edge-level and identified user records into one canonical key, and publishing that key to downstream consumers
• Reverse-ETL / activation models — warehouse tables purpose-built to feed ad-platform conversions APIs, lifecycle marketing, audiences and experimentation tools
• Data quality and observability — dbt tests, freshness monitors, row-count alerts

What you need

• 8–12 yrs of experience
• SQL
• Python
• BigQuery
• dbt
• ETL
• Snowflake
• Any graduate

Good to have

• Machine learning
• Looker
• Tableau
• Kafka
• Redshift
• Airflow