Asset Management Data Engineer / Data Platform Engineer (Azure / SQL / ELT / UAT / BlackRock / MSCI)
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Maltem Asia-Pacific Asset Management Data Engineer / Data Platform Engineer (Azure / SQL / ELT / UAT / BlackRock / MSCI)
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.
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.