Data Engineer Internship — CryptoMize

About the role

You will write the SQL and Python that turns raw arrivals into modeled, queryable, trustworthy datasets — and learn the standard that separates this from tutorial ETL: when a forecasting model depends on your pipeline, correctness is the whole job.

What you'll do

• Write the SQL and Python that turns raw arrivals into modeled, queryable
• Write the SQL and Python that turns raw arrivals — OSINT harvests, sentiment corpora, media mention flows — into modeled, queryable, trustworthy datasets
• Build and maintain ingestion pipelines for real data arrivals — OSINT harvests, sentiment corpora, media mention flows, and survey data — under mentor review
• Write transformation SQL that turns raw arrivals into the modeled tables analysts and models actually query
• Use: PostgreSQL 15, Python 3.11, dbt-style transformation layering, Cron/Airflow-class orchestration

What you need

• SQL
• Python
• ETL
• Data modelling
• dbt
• Airflow
• Any graduate

Good to have

• PostgreSQL
• Linux