Top Data Engineer Jobs in the Philippines

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.

Design, develop, and maintain data pipelines, ETL/ELT processes, and data warehouses. Build data marts and models, optimize SQL for large-scale processing, monitor and tune databases, evaluate tools, document solutions, and support analytics/reporting environments.

Implement and maintain small ETL/ELT tasks, data model changes, validations, logging, and unit tests. Contribute to documentation, CI/CD deployments, data profiling, defect reproduction, and fixes while following standards and improving independence and data quality over time.

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.

Design, build, deploy, and maintain data processing applications and infrastructure; perform ETL, monitor production, resolve incidents, support stakeholders, and create proofs-of-concept and documentation.

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

Implement and maintain data workflows, ETL/ELT processes, design data storage solutions, and ensure quality outputs through testing and documentation.

As a Data Engineer, you will design, build, and maintain data pipelines, ensure data quality and governance, and collaborate with analysts and engineers to support BI initiatives.

As a Data Engineer, you will design, build, and maintain data for the Marketing Data Warehouse, ensuring quality solutions and supporting Digital Intelligence and Integrated Marketing through effective communication and collaboration with teams.

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.

Design, develop, and maintain ETL/data pipelines and data models for BI consumption. Configure and automate data integration jobs, perform testing and validation, monitor performance and data quality, troubleshoot issues, and collaborate with stakeholders to deliver and enhance BI datasets and platforms.

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

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.

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 raw data, build data pipelines, evaluate business needs, enhance data quality, and develop analytical tools.

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

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.

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 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.