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Data & AI – Data Engineer

CFGI (SINGAPORE) PRIVATE LIMITED•21 COLLYER QUAY, 21 COLLYER QUAY, 049320, Singapore
Full-timeSenior
S$11,000 - S$13,000/month
👁️ 0 views•📝 0 applications•Posted 9/21/2026•Expires 10/21/2026
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Job Description

CFGI is standing up its Data & AI build team in Singapore and is seeking a hands-on Data Engineer to build and operate the data foundation on which every client artificial-intelligence solution depends.

Roughly eighty per cent of the effort in any artificial-intelligence programme is the data, so this is a central, load-bearing role for an engineer who can design and run governed, audit-ready pipelines that make client data ready for analytics and for artificialintelligence.

This is a Manager-level role based in Singapore, working with the founding Data & AI build team — the artificial-intelligence engineers, data scientists and, as the team grows, theartificial-intelligence architect — as well as CFGI’s APAC and global Data& Analytics and controls practices and client finance, technology and data stakeholders.

The role is hybrid in Singapore, with occasional travel across Asia-Pacific for client work. Work-authorisation sponsorship may be supported where required.

Healthcare and life sciences is the priority market, with delivery extending across CFGI’s other priority sectors —technology and software, real estate and real-estate investment trusts, and industrials — with private equity engaged as a cross-cutting channel rather than a standalone sector.

What you might expect: Build and operate the data foundation that every client artificial-intelligence and analytics solution runs on.

Design and engineer the ingestion, pipelines, lakehouse, semantic layer, and data-quality and governance controls that turn fragmented client data into authoritative, lineage-traceable, artificial-intelligence-ready data.

Work hand-in-hand with the artificial-intelligence engineers, preparing and serving the data their agents, retrieval systems and models depend on, and build to a client-grade, audit-ready standard from the first engagement.

Design, build and operate data ingestion and integration pipelines from client source systems — enterprise resource planning, customer systems, cl

Required Skills

AuditData Engineering

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