Backend Engineer for AI-Driven Data Pipelines & POCs

SM Supermalls; Pasay; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

SM Supermalls in Pasay, Philippines is seeking a backend/data engineer to design, build, and maintain automated ETL/ELT pipelines, APIs with FastAPI, and cloud-based services on AWS.

Ideal candidates have 2-3 years of experience, a degree in IT or Computer Engineering, and a hands-on mindset for scalable data schemas and cost-aware data processing. Join a dynamic team delivering data-driven features for digital products and stakeholder demos.

Qualifications

• 2-3 years of relevant experience.
• Bachelor’s/College Degree in Information Technology, Computer Engineering, or equivalent.

Responsibilities

• Design, build, and maintain automated ETL/ELT pipelines to ingest data from diverse sources into our data lake/warehouse.
• Assist in designing scalable data schemas that support both analytical research and real-time application features.
• Optimize data processing jobs for speed and cost-efficiency, ensuring high data availability for downstream innovation projects.
• Develop and document robust APIs (FastAPI) that allow our digital products to interact with data models and AI services.
• Build and deploy backend services and lightweight frontend components for Proof of Concept (PoC) applications.
• Deploy and manage applications within cloud environments (AWS), utilizing containerization (EC2).
• Work closely with Data Engineer to wrap experimental models into functional prototypes for stakeholder demos.
• Evaluate emerging technologies (e.g., AI Chatbots, LLM frameworks) to determine their feasibility for new product features.

Skills

ETL pipelines

Python

AWS

APIs

Education

Bachelor’s degree in IT or Computer Engineering

Tools

FastAPI

EC2

Docker

Cloud services

Job description

SM Supermalls in Pasay, Philippines is seeking a backend/data engineer to design, build, and maintain automated ETL/ELT pipelines, APIs with FastAPI, and cloud-based services on AWS.

Ideal candidates have 2-3 years of experience, a degree in IT or Computer Engineering, and a hands-on mindset for scalable data schemas and cost-aware data processing. Join a dynamic team delivering data-driven features for digital products and stakeholder demos.