Asset Management Data Engineer / Data Platform Engineer (Azure / SQL / ELT / UAT / BlackRock / MSCI)

Open 17d reposted 2×

Maltem Apac is looking for Data Engineer for one of our investment management client.


Role: Senior Data Engineer

Responsibilities

  • Design, build, and optimize scalable ETL/ELT pipelines using Microsoft Azure and Microsoft Fabric.
  • Develop and maintain Lakehouse, Data Warehouse, and data models for investment, portfolio, and risk analytics.
  • Integrate data from multiple internal and external sources using APIs, SFTP, and file-based interfaces, ensuring data quality, validation, reconciliation, and governance.
  • Build and support data pipelines for portfolio holdings, positions, security master, pricing, NAV, benchmarks, and analytics datasets.
  • Optimize SQL queries, data processing, and platform performance.
  • Collaborate with business and technology teams to deliver scalable data engineering solutions.
  • Support testing, deployment, production monitoring, troubleshooting, and continuous platform improvements.

Requirements

  • 7+ years of hands-on experience as a Senior Data Engineer.
  • Strong expertise in Microsoft Azure and Microsoft Fabric (Data Factory, Lakehouse, OneLake, Data Warehouse).
  • MUST HAVE ASSET MANAGEMENT experience with financial data domains, high-scale data pipelines.
  • Strong experience building ETL/ELT pipelines, data lakes, and enterprise data warehouses.
  • Proficiency in SQL and Python.
  • Experience in Investment Management, Asset Management, Wealth Management, or Portfolio Management domains.
  • Good understanding of investment data, including portfolio holdings, positions, security master, pricing, NAV, benchmarks, and risk analytics.
  • Knowledge of enterprise investment platforms such as BlackRock Aladdin, MSCI BarraOne, Bloomberg, FactSet, SimCorp, Charles River IMS, or equivalent is highly desirable.
  • Experience with REST APIs, SFTP, and file-based data integrations.
  • Strong knowledge of data modeling, data quality, governance, and cloud-based data platforms.
  • Excellent analytical, stakeholder management, and communication skills.


See also

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