Top Data Engineer Jobs in Manila

The HR Senior Data Engineer Lead will analyze data to derive insights, communicate findings, implement cloud data technologies, and enhance business intelligence solutions while supporting decision-making across the organization.

The Data Engineer is responsible for analytics and insights development, including data sourcing, integration, analytical modeling, and data visualization to enhance business performance and decision-making.

The Data Engineer develops and manages the Manufacturing Data Lake, optimizing data pipelines, supporting CI/CD processes, and collaborating with IT and business teams.

The Data Engineer will develop and operate a cloud-based Manufacturing Data Lake, manage data pipelines, optimize solutions, and ensure efficient platform use for users.

Design and develop data pipelines for data ingestion into the warehouse, ensuring data quality and optimizing existing pipelines while adhering to engineering standards.

Design and maintain a secure data platform focusing on data processing, ETL processes, and collaboration with cross-functional teams to deliver data solutions.

The role requires integration and management of data systems, leadership in knowledge management, and collaboration with stakeholders to enhance data-driven decisions.

As a Data Engineer, you will design, develop, and maintain ETL pipelines, ensure data quality, and collaborate with data professionals to enhance data infrastructure.

The Renewables Measurement & Data Engineer performs data quality checks, supports onsite measurement activities, and provides technical insights on renewable energy performance. They will work closely with clients and internal teams to troubleshoot and solve issues related to data and equipment. The role involves both office and fieldwork in renewable energy projects.

As a BI Data Engineer, you will focus on advanced data modeling, ETL management, database oversight, and collaborating with teams to generate insights and enhance data integrity.

Seeking a Data Engineer to design and maintain scalable data pipelines on Google Cloud Platform, collaborating with teams to support data initiatives and ensuring data quality and performance optimization.

The Data Engineer will develop advanced PowerBI reports, optimize SQL queries, collaborate with stakeholders for reporting requirements, and ensure data accuracy across reporting solutions.

The Data Engineer will develop ETL processes, maintain data pipelines, perform troubleshooting, and ensure scalable data architecture.

The Cloud Data Engineer designs, builds and maintains scalable data pipelines, implements big data storage formats, and integrates data solutions on AWS with Python, ensuring reliability and scalability.

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.

Develop data platforms and pipelines for RingCentral, analyze data sources, automate data processes, and validate data transformations.

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, build, and maintain scalable data pipelines and ETL processes using Python and SQL. Optimize schemas and queries, deploy/manage data workloads on AWS, and collaborate with analysts and business teams to ensure data accuracy, availability, and governance.

Assist with data pipelines and analytics, support ETL processes, maintain Azure-based data assets, and monitor data pipeline performance.

The Data Engineer designs and develops ETL processes, analyzes data sources, resolves data quality issues, and mentors junior team members.

The Data Engineer will develop analytics for efficiency, risk, and customer experience, manage data integration, modeling, and visualization, and drive performance improvements.

The Data Engineer designs and maintains data pipelines, converts complex JSON into relational tables, optimizes data processing, and collaborates with stakeholders.

The role involves building and maintaining data pipelines, developing ETL components, testing, CI/CD deployment, and collaborating with the BA and Scrum Master on projects.

The Data Engineer will analyze raw data, build data systems, enhance data quality, develop tools, and meet business objectives.

The Data Engineer will build data systems, evaluate business needs, enhance data quality, and develop analytical tools while managing raw data.