Top Data Engineer Jobs in the Philippines

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.

The SME, Data Engineer leads a team in developing data solutions, conducting POCs, and ensuring data governance and performance across platforms.

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, and maintain data pipelines and reporting solutions (Metabase) to ensure accurate, optimized datasets and user-friendly dashboards for analytics and decision-making.

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, 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.

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

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

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, develop tools, and meet business objectives.

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 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 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.

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 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 Data Engineer will develop and optimize data architecture, build ETL systems, support data initiatives, and deploy data science models.

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

Design and implement AI solutions, develop data architecture using Python and Django, manage databases, and collaborate with teams to enhance the platform.

As a Data Engineer, you'll build and maintain data systems, enhance data quality, implement workflows, and communicate technical information to non-technical stakeholders.