Senior Analytics Engineer

📋 Description

• Create and maintain complex, scalable data models in Snowflake using dbt.
• Expose datasets in BI tools for self-service analytics.
• Handle simple data ingestion with no-code tools and ensure data flows.
• Add metadata, data quality checks, and masking to datasets.
• Activate data from Snowflake to operational tools.
• Identify and raise data quality issues with process owners.

🎯 Requirements

• Extensive analytics engineering exp with SQL, dbt, Snowflake.
• BI tool experience (Tableau, Looker, PowerBI, Snowsight).
• Experience with no-code data ingestion (Fivetran, Stitch).
• Metadata, data quality, and sensitive data masking know-how.
• Strong collaboration with stakeholders and mentoring skills.
• Experience training and mentoring junior analytics engineers.

🎁 Benefits

• Remote-friendly with global hubs and flexible work options.
• Unlimited holidays and 4 months paid family leave.
• Investment in learning with annual fund and training.