Top Data Engineer Jobs in the Philippines

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

The Data Engineer will analyze and organize raw data, build data systems and pipelines, and improve data quality for business needs.

The Data Engineer will analyze and organize raw data, build systems and pipelines, and develop analytical tools to enhance data quality.

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

The Data Engineer will analyze raw data, build data pipelines, evaluate business needs, enhance data quality, and develop analytical tools.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

The Data Developer will design, expand, and optimize data pipelines, process data from various sources, and assist with data-related issues.

Design, build and optimize complex Azure-based data pipelines and ETL solutions using Informatica and big-data technologies. Analyze sources, resolve data quality issues, implement automation, tune performance, and mentor junior team members to deliver end-to-end BI and real-time analytics solutions.

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.

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

Design, code, and maintain SQL procedures; troubleshoot database issues; review SQL code; create SSIS packages; perform data analysis and profiling.

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.

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

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 maintaining ETL/ELT pipelines using Databricks and AWS, migrating data assets, and ensuring data quality while collaborating with teams.

The Senior Data Engineer will design and maintain ETL pipelines, develop data architecture, and collaborate with teams to integrate and ensure data quality for analytics.

The role involves managing data pipelines for predictive modeling, collaborating with various teams, and ensuring data quality in the insurance sector.

The Sr. Data Engineer will design ETL pipelines, validate data, write SQL queries, manage ETL processes, and collaborate with teams to provide technical solutions.

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 design and develop data integration solutions, write high-performance SQL queries, and support agile delivery while managing data modeling tools and collaborating with global teams.