Senior Data Engineer (Snowflake/AWS)
About the role
We are looking for an experienced senior data engineer (Snowflake/AWS) to design, build and operate reliable cloud-based data solutions. This is a hands-on engineering role where you will work across the full data engineering lifecycle — from developing data pipelines and improving data warehouse performance to troubleshooting production issues. You will contribute to data infrastructure that supports business analytics, operational processes and AI-related applications.
Key responsibilities
Design, develop and maintain data pipelines and data warehousing solutions using Snowflake and AWS.
Build and improve data ingestion, transformation and integration processes.
Write clean, reliable and maintainable code following software engineering best practices.
Troubleshoot production issues and improve data pipeline reliability.
Identify opportunities to improve data processing performance and efficiency.
Apply data quality and security practices to support reliable data solutions.
Contribute to data infrastructure supporting analytics and AI applications.
Collaborate with technical teams and stakeholders to deliver practical data solutions.
About you
5 years of hands-on data engineering experience.
1 year of in-depth Snowflake data warehousing experience, including practical development or implementation.
Strong hands-on experience with AWS cloud technologies.
Solid software engineering fundamentals, including maintainable coding and technical problem-solving.
Experience designing, developing and supporting production data solutions.
Ability to troubleshoot issues, take ownership of deliverables and collaborate effectively.
Employer questions
- Which of the following statements best describes your right to work in the Philippines?
- How many years' experience do you have as a Data Engineer?
- Do you have experience using Snowflake Platform?
Company profile
scendion is the AI-native disruptor reinventing how global enterprises build software for impact. Its engineering teams, powered by AAVA™, the company's proprietary agentic AI platform, deliver measurable business outcomes: accelerating growth, unlocking capital, and de-risking transformation. With 11,000+ engineering professionals and 10,000+ AI agents working across 12 countries, Ascendion delivers the promise of AI to more than a third of the Fortune 500.