AI-Augmented Data Engineer
Core
Build and maintain AI-assisted data pipelines using cloud technologies to automate the data lifecycle from ingestion to trusted business-ready data.
Role type
Senior AI-Augmented Data Engineer
Builds
Data pipelines, dbt models, semantic data layers, and automated testing frameworks
Domain
Retail e-commerce / Cloud Data Engineering
Deliverable
production ML models
Required skills
Snowflake, dbt Cloud, SQL, ELT pipeline development, Fivetran, AI coding assistants, Git, CI/CD, data quality validation
Preferred skills
MCP (Model Context Protocol), Semantic Layers, Data Contracts, Data Observability, Python automation, Agentic AI workflows
Technologies
Snowflake, dbt Cloud, Fivetran, Claude Code, MCP, Git
Responsibilities
Build and maintain data pipelines from source systems into Snowflake; Configure and manage Fivetran data ingestion; Develop dbt models, tests, macros and documentation; Design staging, intermediate, mart and semantic data layers; Define and implement data contracts; Build automated testing and data quality validation; Use AI coding assistants to improve engineering productivity; Review, validate and productionize AI-generated code
Seniority
Senior, hands-on IC