Data Warehouse Engineer

Satellite Office; Taguig; On-site; PHP 892,800 - 1,339,200; Full time

Job summary

Satellite Office is seeking a Mid to Senior Level Data Engineer in Taguig to join our Data Warehouse team. You will build scalable, cloud-based reporting and analytics solutions using technologies like AWS, SQL, and Python.

This hands-on role suits someone who enjoys solving data problems and collaborating with stakeholders. We're looking for someone with 5+ years of experience and a strong foundation in AWS data technologies, ETL/ELT processes, and stakeholder management.

Join us to work in a dynamic environment focused on growth and innovation.

Qualifications

• 5+ years of experience as a Data Engineer or similar role.
• Strong SQL skills with daily hands-on usage.
• Strong Python skills for data processing.
• Experience with AWS cloud services and technologies.
• Excellent communication and stakeholder management skills.

Responsibilities

• Build, maintain, and optimize ETL/ELT data pipelines in AWS.
• Develop scalable reporting and analytics solutions.
• Collaborate with stakeholders on data requirements.
• Support and improve data warehouse architecture.
• Troubleshoot data quality issues.

Skills

SQL

Python

Data Engineering

AWS

ETL/ELT

Stakeholder Management

Tools

Terraform

AWS S3

Redshift

Athena

Glue

Lambda

Job description

Overview

We are looking for a Mid to Senior Level Data Engineer to join our Data Warehouse team and help build scalable, cloud-based reporting and analytics solutions. This is a highly hands-on role suited for someone who enjoys solving data problems, building reliable pipelines, and working closely with stakeholders across the business. You will work within a small and collaborative engineering team where communication, ownership, and initiative are highly valued.

The environment is primarily AWS-based, and you will be working with modern cloud data technologies including S3, Athena, Redshift, Glue, Lambda, and Terraform.

This role is ideal for someone who:

• Enjoys both technical problem-solving and stakeholder collaboration
• Is confident working with SQL and Python daily
• Wants exposure to modern AWS data engineering practices
• Prefers working in a lean, agile team with strong ownership

Key Responsibilities

• Build, maintain, and optimize ETL/ELT data pipelines within AWS
• Develop scalable reporting and analytics solutions using cloud-native technologies
• Work with stakeholders across multiple teams to understand reporting and data requirements
• Write clean, reliable, and maintainable SQL and Python code
• Support and improve data warehouse architecture and data models
• Assist in deploying and managing infrastructure using Terraform and Infrastructure as Code practices
• Contribute to technical discussions, solution design, and continuous improvement initiatives
• Troubleshoot data quality issues and pipeline failures when required
• Participate in maintaining stable and reliable production data platforms

Tech Stack

You will work with technologies including:

• AWS S3
• Athena
• Redshift
• Glue
• Lambda
• Terraform
• SQL
• Python

What We’re Looking For

Required Skills & Experience

• 5+ years of experience working as a Data Engineer, ETL Developer, or similar role
• Strong SQL skills with daily hands-on usage
• Strong Python skills for data processing and pipeline development
• Experience working with AWS cloud services
• Exposure to AWS data technologies such as S3, Athena, Redshift, or Glue
• Experience building and maintaining ETL/ELT pipelines
• Strong communication and stakeholder management skills
• Ability to work confidently with cross-functional teams
• Comfortable contributing to technical analysis and solution discussions
• Willing to work on a hybrid setup

Nice to Have

• Experience with Terraform or Infrastructure as Code
• Experience with cloud-based data warehouse platforms such as Redshift, Snowflake, or BigQuery
• Exposure to CI/CD practices
• Experience working in agile environments

Why Join the Team?

• Work with modern AWS cloud technologies
• Join a lean and collaborative engineering team
• Exposure to enterprise-scale telecommunications and analytics platforms
• Opportunity to contribute directly to technical decisions and platform improvements
• Strong ownership and growth opportunities within the team
• Work closely with experienced technical leadership