Design and develop data pipelines and transformation workflows using DBT.
Build and optimize data models within Snowflake to support analytics and reporting.
Support the migration of orchestration and transformation processes from Dataiku to DBT.
Develop integrations between enterprise systems including CRM platforms and analytics environments.
Ensure data quality, consistency, and reliability across the data platform.
Implement and maintain data transformation best practices and coding standards.
Produce clear technical documentation for pipelines, models, and processes.
Collaborate with BI engineers, PM/BA, and Data Architects on platform design and improvements.
Proactively identify performance issues and optimize data pipelines.

4+ years of experience in data engineering or data platform development.
Strong experience with Snowflake.
Hands-on experience with DBT for data transformations.
Advanced SQL skills and experience designing data models.
Experience building ETL/ELT pipelines in modern data platforms.
Familiarity with data integration patterns and enterprise system integrations.
Experience working in collaborative analytics engineering environments.
Ability to work with distributed teams with at least 4 hours overlap with US time zones.

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Senior Data Engineer – Snowflake, DBT

Key skills