Full Stack Data Engineer

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.

Requirements

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.

·         Experience with Demand Plan Modeling

Benefits

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.