Top Data Engineer Jobs in Manila

The Associate Manager Data Engineer will manage data engineering projects, collaborate on data requirements, optimize data processes, and maintain database design and infrastructure. Responsibilities include writing stored procedures, tuning queries, and ensuring data quality and security while fostering a collaborative work environment.

The Sr Cloud Data Engineer will lead data analysis and integration efforts, collaborating with various stakeholders. Responsibilities include developing and managing data pipelines, implementing data management standards, and understanding complex data models. The role requires strong hands-on experience with AWS cloud services and data technologies.

The Data Engineer will design and implement a scalable Data Lake on GCP, build data pipelines, ensure seamless data access for analytics, implement data quality practices, and maintain technical documentation. The role involves collaboration with various teams to understand their data needs and optimize workflows for performance and reliability.

The Data Integration Engineer will design, develop, and maintain ETL processes using Talend and DataStage, create data pipelines, ensure data quality, troubleshoot integration issues, and assist in migrating legacy systems while ensuring data governance and optimizing database performance.

The Data Engineer is responsible for engaging in the testing process, including defining test strategies, executing tests, and reporting quality. They will enhance automation in testing, manage the development environment, and work on Credit Risk reporting applications to ensure stability and performance.

As a Data Engineer at ING, you will be responsible for analyzing requirements, developing SQL integrations, providing technical support for production issues, and assisting in developing testing automation strategies. You will communicate with stakeholders to understand their needs and design efficient data solutions, all while ensuring high-quality deliverables before implementation.

The Sr Cloud Data Engineer will lead data initiatives, working collaboratively with various stakeholders to manage, integrate, and optimize enterprise data. Responsibilities include developing ETL pipelines, publishing data management standards, and ensuring data quality and usability. The role requires strong problem-solving skills, effective presentations to non-technical audiences, and a focus on innovative solutions in a fast-paced environment.

The Data Engineer will be responsible for developing and maintaining ETL processes, troubleshooting issues, creating and managing data pipelines, and ensuring high-quality data delivery for business needs. The role includes performing complex data analysis, maintaining existing processes, and preparing documentation.

The Data Engineer designs, builds, and maintains the data architecture and pipelines essential for efficient data collection, processing, and storage. Responsibilities include developing ETL processes, ensuring data quality, integrating data from various sources, optimizing performance, and collaborating with technical teams to support data needs.

As a Senior Data Engineer, you will design and implement robust data pipelines, collaborate with stakeholders to define business needs, and optimize existing systems for performance and quality. You will also develop visualizations and stay updated on industry trends to enhance our data infrastructure.

As a Sr. Data Engineer, you will lead process discovery, design ETL pipelines, support process mining deployment in Celonis, and build analytics solutions across various platforms. Responsibilities also include developing data models, performing predictive analysis using machine learning, and documenting technical specifications.

The Senior Data Engineer designs and develops data solutions, performs data analysis and engineering tasks, builds data ingestion pipelines, and provides resolutions for complex data incidents. This role collaborates with application teams and engages with subject matter experts to optimize data storage and processing solutions.

The Senior Data Engineer will design and develop data and analytics solutions, focusing on data architecture and engineering. Responsibilities include building data ingestion pipelines, optimizing data processes, and providing consultation services. This role requires leading project technical reviews and resolving complex data-related incidents.

The Sales Engineer for Data Centre will focus on achieving sales targets by generating leads, managing existing customer relationships, preparing proposals, and ensuring effective communication regarding technical expectations. They will also engage in sales forecasting and regular reporting to drive growth within the data centre sector.

As a Cloud Data Platform Engineer, you will provide technical support for tools in the Azure Analytics domain, troubleshoot data platform services, and guide Data Analytics teams on using Azure tools. You will also be involved in architecture design and enhancement planning, ensuring system integrations and improvements are met effectively.

The Sr. Data Engineer will build and maintain data cubes, oversee ETL processes, assist in data mapping, and collaborate with teams to optimize data systems for Digital Analytics. The role involves significant work with SQL and various data source systems, ensuring accuracy in reporting and fulfilling stakeholder requests.

The Senior Data Engineer will lead technical efforts to optimize data engineering processes, design and maintain data pipelines, and ensure data quality. Responsibilities include providing guidance to team members, implementing data integration solutions, and collaborating with cross-functional teams to deliver actionable insights.