Lead Data Engineer - Advertising

Required

• 5+ years in Data Engineering: Demonstrated experience designing, building, and scaling data pipelines and cloud infrastructure from the ground up.
• Beyond Data Migrations: Proven track record of activating data infrastructure for dynamic, real-time downstream applications rather than focusing solely on batch ETL/ELT or static warehousing.
• Agentic & Real-Time AI Backends: Direct experience building data layers for real-time, event-driven applications, vector databases (e.g., Pinecone, Qdrant, Milvus, pgvector), or retrieval-augmented generation (RAG) at scale.
• Deep Cloud Expertise: Strong experience with major cloud platforms (AWS, GCP, Azure) and modern cloud data stacks (Snowflake, Databricks, BigQuery). Bring your opinions on what works and what doesn't!
• Core Technical Stack: Advanced proficiency in Python and SQL for data processing, real-time pipeline construction, and close collaboration with ML teams.
• AI Workflow Mastery: Experience utilizing AI-assisted development tools, agentic coding, and automated engineering workflows.
• Leadership & Communication: Track record of mentoring engineers and setting engineering standards. Exceptional communication skills suited for a hybrid Tech/Creative culture.
• Located in Latin America.
• Fluent in English.