Senior Data Engineer

📋 Description

• Design, build and maintain scalable data pipelines with dbt, Airflow, Prefect.
• Develop dimensional and semantic data models for analytics and operations.
• Build curated data products for analytics and modern AI workloads.
• Design data schemas and storage for analytics and AI workloads.
• Maintain version control workflows and isolated dev/test environments.
• Manage cloud-based data infra for performance, scalability, reliability and cost.

🎯 Requirements

• 5+ years of hands-on Data Engineering with production delivery.
• Strong expertise building scalable pipelines with Python and SQL.
• Hands-on with dbt, Airflow, Prefect or similar tools.
• Strong experience with dimensional and semantic data models.
• Experience with cloud platforms AWS S3/Redshift/Athena/Glue/Lambda.
• Ownership mindset; translate business/AI needs into scalable data solutions.

🎁 Benefits

• Startup environment: early-stage; you have a voice and can influence growth.
• Growth opportunity: define how AI transforms a category-leading startup.
• Direct impact: work at center of revenue growth and customer support.
• Work for a Market Leader: scale projects for Microsoft, Mastercard, etc.
• Leadership visibility: reporting into the Data Lead.
• Compensation: competitive pay; 100% remote; PTO per local law.