Data Engineer, AI & Analytics

📋 Description

• Own the data foundation for Power Digital: ingestion, modeling, and data marts.
• Build and maintain multi-client data pipelines and semantic layers for AI initiatives.
• Collaborate with Data Ops, BI, tagging, and product/engineering teams to translate requirements
• Design robust ingestion to handle API changes, rate limits, and retroactive data restatement.
• Develop AI-ready data models and enable AI-generated analytics across platforms.

🎯 Requirements

• 3+ years in data or analytics engineering; 1+ year owning a production dbt project.
• Advanced Python and SQL skills for production-grade pipelines.
• Deep dbt expertise: tests, snapshots, materializations, and DAG management.
• Strong Snowflake knowledge and cloud data stack experience (GCP).
• Experience in multi-tenant data modeling and marketing/ad datasets (UTMs, attribution).
• Proven end-to-end data lifecycle ownership from ingestion to serving.

🎁 Benefits

• Remote-friendly environment with data-centric responsibilities across multiple clients.
• Collaborative culture emphasizing growth, innovation, and autonomy.
• Equal opportunity employer with inclusive workplace values.