Data Engineer - Hybrid, Scalable Data Pipelines
Summary
Data Engineer at insurer Manulife John Hancock in Kuala Lumpur, designing, building, and optimizing scalable data pipelines and platforms that support analytics, BI, and downstream applications. Core stack: SQL, Python, cloud data platforms (AWS/Azure/GCP), and ETL/ELT tools like dbt, Airflow, Fivetran, or Azure Data Factory.
Manulife John Hancock seeks a Data Engineer with 2–3 years of hands-on experience to design, build, and optimize data pipelines and platforms supporting analytics, BI, and downstream applications. You will collaborate with analytics, data science, and product teams to ensure high-quality, scalable data for reporting.
The role requires strong SQL, Python, cloud data platforms (AWS/Azure/GCP), and experience with ETL/ELT tools (dbt, Airflow, Fivetran, or Azure Data Factory).