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Data Engineer (Manager Level) - Data & AI Build Team

cfgi • Malaysia
Visa Sponsorship
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AI Summary
Key Highlights
Design and operate governed data pipelines for AI/analytics solutions.
Collaborate with AI engineers, data scientists, and stakeholders to establish data standards.
Mentor junior data resources and contribute to reusable pipelines/accelerators.
Key Responsibilities
Build and operate data pipelines, lakehouses, and semantic layers for AI/analytics solutions.
Ensure data quality, lineage, and governance for audit-ready outputs.
Collaborate with AI engineers and data scientists to establish data-engineering standards.
Design and maintain data ingestion pipelines from various client source systems.
Prepare and serve AI-ready data for engineering teams, including curated datasets and embeddings.
Partner with AI engineers on data contracts and interfaces.
Own data quality, master data, and lineage for trustworthy outputs.
Embed data governance and privacy from the outset, including access controls and compliance.
Mentor junior data resources and contribute to reusable components and standards.

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Technical Skills Required
Python SQL Data Pipeline Engineering
Benefits & Perks
Hybrid work model (Malaysia-based with APAC travel)
Potential work-authorization sponsorship support
Mentorship opportunities and career growth within a growing practice

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Nice to Have
Expertise in dbt and disciplined, tested, version-controlled data transformations.
Production experience with Snowflake and/or Databricks.
Working understanding of open table and lakehouse storage formats (e.g., Apache Iceberg, Delta Lake).
Experience with dimensional modelling and data-vault modelling for analytics.
Experience with client-facing or executive-stakeholder delivery.

Job Description

CFGI is seeking a hands-on Data Engineer to build and operate the data foundation for artificial-intelligence solutions in APAC. Roughly eighty percent of AI programs rely on data, making this a central role focused on designing governed, audit-ready pipelines that prepare client data for analytics and AI.

The role is Manager-level, hybrid in Malaysia with occasional travel across Asia-Pacific. Responsibilities include building ingestion pipelines, lakehouses, semantic layers, ensuring data quality, and collaborating with AI engineers and data scientists. Experience with Python, SQL, dbt, Snowflake/Databricks, and lakehouse formats (e.g., Apache Iceberg, Delta Lake) is preferred.

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Job Overview
Posted Nov 10, 2026
Employment Contract
Experience Mid-Senior level
Location Malaysia
Category Data Science
Company cfgi
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