Senior /Data Engineer - Kuala Lumpur

Newbridge Alliance Pte Ltd; Kuala Lumpur; On-site; MYR 180,000 - 260,000; Full time

Job summary

Newbridge Alliance Pte Ltd is seeking a senior Data Engineer to build governed, auditable pipelines converting fragmented client data into AI-ready assets. This role collaborates with AI Engineers and Data Scientists to ensure scalable, secure data flows and standardized governance.

The candidate will own ingestion pipelines from multiple source systems, manage transformation layers, and deliver AI-ready datasets with quality and lineage for auditable BI and AI use cases.

Qualifications

• 5-10 years of hands-on production data engineering, end-to-end delivery experience.
• Client-facing stakeholder management experience.
• Knowledge of governance, security by design and data residency rules.

Responsibilities

• Build and operate end-to-end ingestion pipelines from ERP, clinical, customer and operational systems 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.

Skills

Data engineering

Client-facing

End-to-end delivery

Tools

Python

SQL

dbt

Snowflake

Databricks

Airflow

Dagster

Iceberg

Delta Lake

Azure

AWS

GCP

Job description

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).