Data Engineer, VP

About the Company

A leading regional asset management firm backed by a major financial institution, this organization manages a diverse portfolio across Asia. The firm is actively scaling its data capabilities to drive innovation and decision-making across its investment platforms.

 

Overview

We are seeking an experienced Data Engineer or Data Architect to drive the design, development, and optimization of cloud-based data platforms that support enterprise analytics and machine learning in a regulated financial environment. You will play a pivotal role in shaping the data infrastructure strategy for a regional asset manager, enabling data-driven decision making across investment and business functions.

 

Key Responsibilities

Enterprise Data Platform & Architecture

• Design, build, and manage scalable cloud-based data platforms to support enterprise-wide ingestion, storage, and processing of structured and unstructured data.
• Ensure platform reliability, scalability, and security in alignment with financial regulatory standards.
• Evaluate and integrate modern data technologies (e.g., real-time processing, event streaming) to continuously evolve the platform.

Data Engineering & Pipelines

• Develop and maintain efficient batch and real-time data pipelines using modern ETL/ELT frameworks.
• Ensure data integrity and quality through validation, transformation, and reconciliation processes.
• Collaborate with analytics and machine learning teams to deliver reliable data for model training, reporting, and insights.

Governance, Security & Documentation

• Enforce data governance, access controls, encryption, and masking practices in accordance with MAS and internal policies.
• Maintain an up-to-date data catalogue and lineage tracking across systems.
• Champion engineering best practices including DevOps, DataOps, and MLOps.

 

Key Requirements

• 10+ years of experience in data engineering, data architecture, or machine learning engineering in production environments.
• Proficient in Python and SQL; familiarity with Java, Scala, or C++ is a plus.
• Hands-on experience with cloud platforms (GCP preferred, AWS acceptable), especially BigQuery, Kafka, and related services.
• Strong understanding of CI/CD, version control (Git), and automated testing frameworks.
• Background in financial services or asset management is advantageous but not required.
• Strong communication skills with the ability to work both independently and within a collaborative team.

 

If you're interested in the above role, click on the 'apply' function now! Alternatively, you can contact Mon Fei at for a confidential discussion. Only shortlisted candidates will be notified.

Morgan Mckinley Pte Ltd

Chow Mon Fei

EA Licence No: 11C5502

EAP Registration No: R1877534