Data Warehouse Engineer

Satellite Office; Pateros; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

Satellite Office in the Philippines is seeking a Mid to Senior Level Data Engineer to join our Data Warehouse team. Build scalable, cloud-based reporting and analytics solutions using AWS services and Terraform, while solving data problems and collaborating with stakeholders.

This hands-on role emphasizes ownership, solid SQL and Python skills, and the ability to work in a lean, agile team. Expect a hybrid work setup and opportunities to influence platform design across multiple business units.

Qualifications

• 5+ years of experience 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.

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

Skills

SQL

Python

AWS cloud services

ETL/ELT pipelines

Data warehousing

Cross-functional collaboration

Hybrid work

Tools

Terraform

Snowflake

BigQuery

AWS Glue

Athena

Redshift

S3

Job description

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