Play a pivotal role in finalizing our data stack migration and setting up our Snowflake Intelligence environment
Take ownership of technical tasks focused on clean architecture and code standardization
Migrate existing Snowflake tables from legacy databases to our new medallion-like data warehouse structure
Deprecate remaining legacy pipelines (mostly in Talend) over to generic or custom Python jobs
Identify and mark tables for deprecation, to finalize the end of our old warehouse structure
Lead the operational shift to dbt by migrating legacy aggregation jobs, Tableau views, and dynamic tables into our dbt project
Optimize our codebase by developing and implementing dbt macros to harmonize data transformations and reduce duplication
Define user stories and build out new data sources for our Snowflake Intelligence agent
Enrich our semantic layer and existing models to handle more complex analyses and increase user adoption
Accelerate the documentation of all tables and columns to provide context to all AI tools and users connected to Snowflake

3+ years as an Analytics Engineer, BI Engineer, or Data Engineer with proven autonomy in freelance missions
Master degree in Computer Science or similar technical field of study
SQL mastery is a must
Knowledge of Python for custom sourcing jobs
Hands-on experience with Snowflake and dbt (specifically writing macros and working with semantic models)
Good understanding of software development processes (Git, CI/CD), or experience with setting up analytics AI agents are a plus
Organized problem-solver, comfortable managing your own backlog and communicating technical changes
Working proficiency and communication skills in verbal and written English

Analytics Engineer – AI Enablement

Key skills