Data Engineer

📋 Description

• Build and operate the data foundation for AI and analytics client solutions.
• Design ingestion, pipelines, lakehouse, semantic layer, data quality and governance.
• Collaborate with AI engineers, data scientists, and stakeholders for production-ready data.
• Ingest data from ERP, CRM, clinical systems, files, and APIs into governed platform.
• Maintain lakehouse/warehouse and transformation layer with versioned pipelines.
• Design a governed semantic layer for reusable business logic.

🎯 Requirements

• 5–10 years of hands-on data-engineering experience.
• End-to-end production data pipelines and governance experience.
• Client-facing or executive stakeholder delivery experience.
• Strong Python and SQL skills; dbt experience.
• Production experience with Snowflake and/or Databricks.
• Experience with batch and streaming ingestion and data quality frameworks.

🎁 Benefits

• Hybrid role in Singapore with travel across APAC as needed.
• Work with a growing Data & AI build team; sponsor/work-permit support possible.
• Opportunity to shape data standards and accelerators for a practice in growth.