Full Stack Data Engineer

iSupport Worldwide; Hinoba-an; Hybrid; PHP 1,000,000 - 1,600,000; Full time

Benefits offered by this job

Onsite facilities

Job summary

iSupport Worldwide is seeking a Full Stack Data Engineer to design and deploy the company's first centralized data infrastructure in the Philippines. You will build a scalable SQL data warehouse, automate ETL/ELT pipelines, and enable analytics for Sales & Operations Planning.

You will integrate NetSuite data to power demand forecasting and inventory optimization, while delivering enterprise-grade Power BI dashboards for executive and operational teams.

Qualifications

• 5+ years of progressive experience in data engineering or full-stack analytics.
• Expert-level SQL proficiency and experience standing up data warehouses (Azure SQL, Snowflake, PostgreSQL, or similar).
• Strong programming skills (Python preferred) and experience using 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 capability in data visualization and modeling, specifically Power BI, DAX, and Power Query for enterprise reports.
• Builder mindset with ability to operate independently in an unstructured tech environment and explain architecture to non-technical leaders.

Responsibilities

• Design, provision, and manage a centralized SQL data warehouse serving as the single source of truth.
• Replace decentralized workflows with automated, monitored ETL/ELT pipelines.
• Deeply integrate NetSuite ERP data for downstream analytics.
• Collaborate with S&OP leaders to build data models and automated reports for demand forecasting and safety stock.
• Architect semantic models and develop dynamic dashboards to deliver actionable insights to operations and executives.

Skills

SQL

Python

ETL/ELT

NetSuite familiarity

Power BI data modeling

Builder mindset

REST APIs

Tools

Azure SQL

Snowflake

PostgreSQL

REST APIs

Power BI

Job description

Position Summary

We are seeking a highly capable, builder-mentality Full Stack Data Engineer to architect and deploy our company’s first centralized data infrastructure. Currently, our data ecosystem is highly decentralized—relying on manual extractions, SharePoint folders, and localized scripts.

Reporting directly to executive leadership, this \"0-to-1\" role will be responsible for designing a scalable SQL database environment, building robust automated ETL pipelines, and delivering the analytical foundation required for our Sales & Operations Planning (S&OP). Your immediate priority would be integrating our NetSuite ERP data to power critical Demand Planning and inventory optimization models for our core product lines, plus reviewing and implementing demand planning models that cover seasonality, assumptions,.

If you enjoy the challenge of replacing legacy manual processes with elegant, automated architecture and want to own the entire data stack from extraction to visualization, this is your opportunity.

Key Responsibilities

• Infrastructure Architecture (0 to 1): Design, provision, and manage a centralized SQL relational database/data warehouse to serve as the company's single source of truth.
• ETL & Pipeline Engineering: Replace existing decentralized workflows (e.g., automated email attachments, SharePoint file drops, manual NetSuite JSON scriptlets) with secure, automated, and monitored ETL/ELT pipelines.
• ERP Integration: Deeply integrate with our NetSuite environment, extracting critical supply chain, purchasing, and sales data to feed downstream analytics.
• Demand Planning & Supply Chain Analytics: Partner directly S&OP leaders (supply chain, sales, marketing, and finance) to build the complex data models and automated reporting necessary for accurate demand forecasting, safety stock calculations, and supplier performance tracking.
• Business Intelligence (BI): Architect semantic models and develop dynamic, automated dashboards (using Power BI, DAX, etc.) to deliver actionable insights to operations, purchasing, and sales, marketing, and executive teams.

Required Qualifications

• Experience: 5+ years of progressive experience in data engineering, database architecture, or full-stack analytics roles, specifically within manufacturing, supply chain, or CPG environments.
• Database Architecture: Expert-level SQL proficiency and proven experience standing up data warehouses (e.g., Azure SQL, Snowflake, PostgreSQL, or similar cloud environments) from scratch.
• Pipeline Development: Strong programming skills (Python preferred) and experience using modern ETL/ELT integration tools to pull from REST APIs and ERP systems.
• ERP Familiarity: Direct experience working with NetSuite data schemas, saved searches, and APIs is highly preferred.
• BI & Data Modeling: Advanced capability in data visualization and modeling, specifically utilizing Power BI, DAX, and Power Query to build enterprise-grade reports.
• The \"Builder\" Mindset: Demonstrated ability to operate independently in an unstructured tech environment, communicating complex technical architecture to non-technical business leaders.

Why you'll love it here?

• Free lunch meals, fruits, snacks, and beverages for employees assigned to onsite shifts.
• Access to an onsite gym with a complimentary professional fitness instructor.
• Weekly fitness activities and an annual fitness challenge with prizes of up to ₱70,000.
• Weekly employee engagement activities with prizes of up to ₱3,000.
• Free upskilling academy to support career growth and professional development.
• State-of-the-art office facilities and modern workstations.
• Access to employee amenities including sleeping quarters, game area, chat room, and shower rooms.
• Fun, collaborative, and employee-focused work environment.