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    Data Engineer, VP

    SingaporePermanentCompetitive
    Back to job search
    2 weeks ago
    JN -052025-1981361

    Data Engineer, VP

    Singapore Permanent Competitive

    Data Engineer, VP

    About the job

    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

    © 2025 Morgan McKinley
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