Data Engineer at Didii

You'll build the pipes that turn raw transaction data into the dashboards, fraud signals, and AI training sets we run the company on.

What you'll do

• Design ETL/ELT pipelines from production DBs to a warehouse
• Build streaming jobs that power real-time fraud flags
• Model schemas for finance, growth, and ops teams
• Partner with AI/ML on feature stores and training data

What we're looking for

• 3+ years building data pipelines at scale
• Strong SQL and Python — you can model and ship
• Experience with dbt, Airflow/Dagster, Kafka or similar
• You know why "exactly-once" is hard, and you've shipped one anyway