Senior Data Engineer

The ideal candidate is someone who balances the "builder" mindset with an "operational" rigor. You understand that a data platform is only as good as its reliability, and you thrive on turning raw, chaotic data into a pristine, gold-standard asset for the business.

Key Responsibilities:

• Platform Orchestration: Design and maintain end-to-end data pipelines using Fivetran for ingestion and dbt for sophisticated transformations.
• Architecture Management: Implement and optimize a Medallion Data Architecture (Bronze/Silver/Gold) within BigQuery to ensure data quality and lineage.
• Governance & Security: Utilize Google Dataplex for data fabric management and Google Sensitive Data Protection (SDP) to ensure compliance and PII masking.
• Data Modeling: Build and maintain the semantic layer using LookML to provide a unified data catalog and consistent business logic.
• Visualization Support: Partner with BI Analysts to enable high-performance reporting in both Power BI and Looker.
• Reliability Engineering: Monitor pipeline health, optimize BigQuery slot utilization, and implement automated CI/CD for data deployments.
• Experience: 5+ years in data engineering, with a heavy focus on the Google Cloud Platform (GCP) ecosystem.
• BigQuery Mastery: Deep knowledge of partitioning, clustering, and SQL optimization.
• dbt Expertise: Proven track record of managing complex dbt projects (macros, tests, and documentation).
• Security Mindset: Familiarity with Google SDP and managing data access controls at scale.
• Semantic Layering: Experience writing LookML to define dimensions, measures, and explores.
• Communication: Ability to explain technical trade-offs to non-technical stakeholders (e.g., why we need a Silver layer before jumping to Gold)
• Ideal candidate will have experience in the Retail and/or eCommerce environments
• Willing to work on site at Oritgas, Pasig City