Data Engineer, AI & Analytics
Core
Build and maintain the core data foundation (pipelines, modeling, data marts) for an AI-native growth firm, handling fragmented marketing data from multiple ad platforms to support agency teams, clients, and AI initiatives.
Role type
Senior Data Engineer (AI & Analytics)
Builds
Production-grade data pipelines, semantic layers, and metric definitions for multi-tenant marketing data.
Domain
Marketing technology, advertising data, cloud data engineering.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, dbt, Snowflake, cloud-native infrastructure (GCP), Git/CI/CD, AI-agentic workflows, data modeling, multi-tenant architecture.
Preferred skills
Agency/consultancy experience, measurement work (incrementality, media mix modeling), server-side tagging, retail/marketplace data.
Responsibilities
Design and maintain core data ingestion and modeling pipelines; handle API changes and data restatements from ad platforms; model data across multiple sources (Meta, Google, TikTok, etc.) to reconcile metrics; build semantic layers for AI-generated SQL; collaborate with product and client teams; monitor and optimize data quality and pipeline performance.
Seniority
Senior, hands-on IC