You will design, build, and optimize data pipelines that scale across multiple clients and agencies within an architecture-first team
Job Summary
You will design, build, and optimize data pipelines that scale across multiple clients and agencies within an architecture-first team.
The role involves implementing dbt models for data transformation, testing, and documentation while ensuring consistency for programmatic, search, and social data.
Collaboration with Data Scientists and AI Engineers is required to ensure data is structured and accessible for downstream analytics and agentic workflows.
Matching Summary
You will design, build, and optimize data pipelines that scale across multiple clients and agencies within an architecture-first team.
Skills & Requirements
Must-have
3+ years data engineering experience
Python and SQL proficiency
Databricks and Apache Spark expertise
dbt transformation framework knowledge
Azure cloud platform familiarity
Nice-to-have
Media advertising data experience
Adverity integration platform exposure
Power BI validation skills
Multi-client data product building
Cross-timezone collaboration comfort
Key Requirements
3+ years production pipeline experience
Strong proficiency in Python and SQL
Experience with version control (Git) and CI/CD
Understanding of dimensional modeling and ETL/ELT patterns