Top Data Engineer Jobs in Davao City

As a Data Engineer, you will analyze information needs, design and deploy data processing applications, maintain infrastructure, and resolve incidents in production while supporting internal staff and stakeholders.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Design and implement BigQuery-based medallion (lakehouse) architectures and ingestion pipelines on GCP; define datasets, partitioning, clustering, and cost controls; support batch/incremental/on-demand processing; implement data quality, monitoring, and search/AI integration; produce architecture docs and work with engineering, data, DevOps, and product teams for handover.

Design, build, deploy, and maintain data processing applications and infrastructure; perform ETL, monitor production, resolve incidents, support stakeholders, and create proofs-of-concept and documentation.

The Data Engineer will design, develop, and maintain data pipelines, ensuring accurate data for reporting and decision-making, while improving internal processes and keeping up with technology trends.

The Data Engineer will design, build, and maintain scalable data solutions, focusing on data pipelines, ETL/ELT processes, and cloud platforms, particularly Snowflake.

The role involves developing and maintaining frontend software on ClickUp, enhancing backend workflows with Make, and integrating tools for improved data management and automation.

The Senior Data Engineer will profile, cleanse, and document datasets; support app development with data pipelines; ensure data quality; automate analyses; and collaborate across functions, using AI to optimize business functions.

Own and maintain analytics instrumentation and data pipelines using Segment, ensuring reliable event tracking to Mixpanel, GA4 and AppsFlyer. Use Terraform for version-controlled analytics infrastructure, monitor and audit data quality, maintain schema documentation, translate business needs into tracking, and configure mobile/web attribution and deep-linking.