Design and operate data pipelines, warehouses, and contracts for analytics and product use. Freshness, lineage, and correctness beat dashboard vanity metrics.
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Requirements
01Four or more years data engineering in production
02Strong SQL and Python; experience with Airflow, dbt, or equivalent
03Warehouse experience (BigQuery, Snowflake, Redshift, or similar)
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Nice to have
+Streaming (Kafka, Pub/Sub)
+Data quality frameworks
Hiring
What happens next
01
We read it
A person reads every application. No keyword filter.
02
Reply
Within 5 working days if there is a fit.
03
Conversation
90 minutes with the people you would work with.
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Paid trial
A real, scoped problem. Paid at contract rate.
Application
Send your work. Skip the theatre.
Resume, a short note, and anything that shows how you think. Specifics beat adjectives.
Show something you built, not something you managed.
Scale, constraints, and trade-offs land better than adjectives.