Senior Data Engineer

Join us and enjoy benefits designed to help you thrive:

• Flexible hybrid work setup (1-2 days/month onsite reporting)
• IT Equipment provided
• HMO coverage starting from Day 1 for you and FOUR FREE dependents
• Attractive retirement package with company matching
• Life and Accident Insurance starting Day 1
• 24 Annual PTOs, additional 6 once you reach your 5th year with us
• Competitive benefits with annual merit increase and incentives
• Continuous improvement for our employees (workshops, certification programs, learning sessions, etc.)

Work Arrangement:

• Set-Up: Hybrid (1-2/month onsite reporting)
• Location: UP AyalaLand Technohub, Commonwealth, Quezon City

Job Description:

We are seeking a Senior Data Engineer to design, build, and maintain scalable data ingestion and integration pipelines within our AWS ecosystem. This role will focus on integrating data from multiple internal and external sources, developing automated ETL/ELT solutions, and delivering high-quality datasets that support reporting, analytics, and business decision-making across RX Global. The ideal candidate combines strong technical expertise in AWS, SQL, Python, and API integrations with the ability to collaborate effectively with stakeholders across multiple business units.

Key Responsibilities

• Design and maintain scalable ETL/ELT and data ingestion pipelines
• Integrate data from multiple internal and third-party systems through APIs and automated workflows
• Develop and support AWS-based data lake and analytics solutions
• Prepare and transform datasets for reporting and analytics consumption
• Ensure data quality, consistency, and reliability across data platforms
• Partner with BI Developers and business stakeholders to understand reporting requirements
• Monitor, troubleshoot, and optimize data pipelines and integrations
• Create and maintain technical documentation
• Participate in Agile ceremonies and project delivery activities

Required Qualifications

• Bachelor's Degree in Computer Science, Engineering, Information Technology, or related field
• 5-7 years of experience in Data Engineering or Data Integration
• Hands-on experience with AWS services and cloud-based data solutions
• Strong proficiency in SQL and Python
• Experience designing and developing ETL/ELT pipelines
• Experience integrating data from APIs and external systems
• Experience working with relational databases such as SQL Server, PostgreSQL, or Oracle
• Strong stakeholder management and communication skills

Nice-to-Have

• Experience with Azure
• Experience with Databricks
• Experience with Google Analytics (GA4) or web analytics platforms
• Experience working with marketing, event, or customer engagement data
• Experience working within Agile environments