Job Description
We’re building a talent pool for Data Engineers. This pipeline role is for engineers with strong foundation in data modelling (schema design) and SQL experience. You’ll be working across a modern data stack - Airflow, Snowflake, Superset/Looker/HEX, Python, to help power analytics, decision-making, and product insights. Key Responsibilities:
Taking raw production data and transforming it for analytics use.
Creating data marts organized by business use vs. data origin.
Building AI-ready semantic layer for LLM querying. You’ll be ideal if you have:
Expertise in SQL and data modelling.
Proficiency with Airflow, Snowflake, and data visualization tools like Looker, Superset, or HEX.
Strong Python skills for data workflows and transformations.
Bonus: experience with LLM prompt engineering, RAG, or related AI tools. Ideal traits:
Problem solver with a strong sense of ownership
Communicates clearly—both written and verbal
Business-minded: focused on outcomes, valu...
Taking raw production data and transforming it for analytics use.
Creating data marts organized by business use vs. data origin.
Building AI-ready semantic layer for LLM querying. You’ll be ideal if you have:
Expertise in SQL and data modelling.
Proficiency with Airflow, Snowflake, and data visualization tools like Looker, Superset, or HEX.
Strong Python skills for data workflows and transformations.
Bonus: experience with LLM prompt engineering, RAG, or related AI tools. Ideal traits:
Problem solver with a strong sense of ownership
Communicates clearly—both written and verbal
Business-minded: focused on outcomes, valu...
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