Senior Lead Data Engineer

Our client is a global consulting firm operating from 30 offices worldwide across the Americas Europe and Asia-Pacific.

As a trusted advisor to the Office of the CFO they partner with management teams and private equity sponsors to solve complex finance accounting and transformation challenges - free from audit independence constraints.

The Mandate:
You will build governed audit-ready pipelines that turn fragmented client data into trusted AI-ready assets. This is a central load-bearing role working alongside AI Engineers and Data Scientists.

Key Responsibilities:

• Build and operate end-to-end ingestion pipelines from ERP clinical customer and operational systems (batch streaming) into a governed lakehouse.
• Own transformation modelling and semantic layer to ensure consistent business logic across BI and AI.
• Prepare and serve AI-ready data - curated datasets embeddings and RAG corpora.
• Own data quality master data / entity resolution and end-to-end lineage for audit readiness.
• Embed governance privacy & security by design (PDPA and APAC data residency / cross-border rules).
• Build reusable accelerators and set engineering standards for the practice.

Must Have:
5-10 years of hands-on production data engineering end-to-end delivery experience and client-facing stakeholder management.

Tech Stack:
Expert Python & SQL dbt Snowflake / Databricks Airflow / Dagster Iceberg / Delta Lake plus strong understanding of data governance vector stores and cloud (Azure / AWS / GCP).