Senior/ Lead Data Engineer

Newbridge; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Newbridge, a global consulting firm, seeks a senior data engineer to build governed data pipelines and AI-ready assets. You will collaborate with AI engineers and data scientists to deliver end-to-end data ingestion, transformation, and semantic layers across multiple domains.

You will own data quality, lineage, and privacy governance, ensuring audit-readiness while aligning with PDPA and APAC data residency rules. This high-impact role requires strong leadership and client-facing capabilities.

Qualifications

• 5-10 years of hands-on production data engineering and end-to-end delivery experience.
• Ability to manage client-facing stakeholders and drive data initiatives.
• Experience building governed, audit-ready data pipelines.

Responsibilities

• Build and operate end-to-end ingestion pipelines from ERP and various systems into a governed lakehouse.
• Own transformation, modelling, and semantic layer to ensure consistent business logic.
• 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, and security by design across data residency and cross-border rules.
• Build reusable accelerators and set engineering standards for the practice.

Skills

Python

SQL

dbt

Snowflake

Databricks

Airflow

Dagster

Iceberg

Delta Lake

Data governance

Tools

dbt

Snowflake

Databricks

Airflow

Dagster

Iceberg

Delta Lake

Azure

AWS

GCP

Job description

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).