Full Stack Data Engineer: Build Our Centralized Data Stack

iSupport Worldwide; Metro Manila; On-site; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Free lunch

Onsite gym

Fitness challenges

Employee engagement

Upskilling academy

Modern office

Sleeping quarters

Job summary

iSupport Worldwide in Metro Manila seeks a Full Stack Data Engineer to architect and deploy our first centralized data infrastructure, integrating NetSuite ERP data for demand planning and inventory optimization.

You will build scalable ETL pipelines, design a SQL data warehouse, and develop Power BI dashboards for operations and executive teams, turning fragmented data into a single source of truth.

Qualifications

• 5+ years in data engineering, DB architecture, or full-stack analytics in manufacturing, supply chain, or CPG environments.
• Expert-level SQL proficiency and proven experience building data warehouses from scratch in cloud environments (Azure SQL, Snowflake, PostgreSQL, etc.).
• Strong Python programming skills and experience with modern ETL/ELT tools to pull from REST APIs and ERP systems.
• Direct experience with NetSuite data schemas, saved searches, and APIs is highly preferred.
• Advanced data visualization and modeling using Power BI, DAX, and Power Query.

Responsibilities

• Design, provision, and manage a centralized SQL data warehouse to serve as the single source of truth.
• Replace decentralized workflows with secure, automated ETL/ELT pipelines.
• Integrate NetSuite data to feed downstream analytics in supply chain, purchasing, and sales.
• Collaborate with S&OP leaders to build data models and automated reporting for demand planning.
• Develop dynamic Power BI dashboards delivering actionable insights to operations, purchasing, sales, and executives.

Job description

iSupport Worldwide in Metro Manila seeks a Full Stack Data Engineer to architect and deploy our first centralized data infrastructure, integrating NetSuite ERP data for demand planning and inventory optimization.

You will build scalable ETL pipelines, design a SQL data warehouse, and develop Power BI dashboards for operations and executive teams, turning fragmented data into a single source of truth.