Top Data Engineer Jobs in Manila

Intern will support and develop features in a web project, applying data cleansing and implementing visualizations for customers.

The Data Engineer will provide expertise in reporting and analytics, support data requests, engage with stakeholders, and develop insights to drive operational efficiency.

This role involves developing and maintaining software programs under the guidance of a Software Engineer, ensuring adherence to specifications and standards while coordinating with team members.

Design and maintain secure data platforms, optimize data workflows and processes, and collaborate with stakeholders to implement data solutions.

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.

The Junior Data Engineer will support data integrations and master data management, ensuring clean data flows across various systems and collaborating with engineering teams.

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.

Design, implement, and maintain scalable data infrastructure for analytics and operational decision-making, optimizing data pipelines and ensuring data quality.

Responsible for developing and maintaining ELT snowflake solutions, collaborating with teams, mentoring developers, and improving data engineering practices.

The Data Engineer III will develop and maintain data warehouse solutions using ELT technologies, collaborate with teams, automate processes, and mentor junior developers.

Data Engineer II will execute data project initiatives, maintain data applications, automate processes, and mentor junior developers while collaborating with teams.

The role involves designing and implementing data engineering solutions, managing data ingestion processes, ensuring data quality, and collaborating with teams to enhance data management.

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

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.

In this role, you will analyze data to create actionable insights, develop predictive models, and collaborate with stakeholders for data-driven decision making while leading cloud data modernization initiatives.

The Data Engineer at NiCE will manage operations-related tasks, support release pipelines, monitor systems, and strive for improved automation and efficiency in data-related processes.

The Associate Data Engineer role involves managing Snowflake environments and deployment operations, enhancing automation, and supporting data engineering teams through monitoring and maintaining data infrastructure.

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.

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

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

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.

Support the Marketing Data Engineering function by monitoring data ingestion jobs, validating delivery, performing compliance checks, maintaining documentation, and troubleshooting issues.