Top Data Engineer Jobs in the Philippines

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

The Data Engineer will build and automate data workflows, maintain reporting pipelines, and construct decision engines using a data warehouse as a reference.

The Web Scraper / Data Engineer will build and maintain automated data pipelines, integrating scrapers and APIs while ensuring data accuracy and compliance.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

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.

The Data Engineer III will develop and maintain data pipelines, oversee data storage solutions, ensure data quality, and mentor junior engineers, while collaborating with cross-functional teams to enhance data-driven decision-making.

As Lead Data Engineer / Architect, you'll design and implement modern data pipelines, architect cloud data infrastructure, and guide a growing data team.

The role involves automating inspection data collection, analyzing trends, developing dashboards, collaborating with teams, and leading digital initiatives to enhance manufacturing efficiency.

As a Big Data Engineer, you will automate data workflows, build decision engines, clean large datasets, and maintain automated reporting pipelines.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Senior Data Engineer will design, implement, and optimize data infrastructure, manage pipelines, and create visualizations, while ensuring data quality and security.