Top Data Engineer Jobs in the Philippines

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.

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

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

Design and develop data pipelines for data ingestion into the warehouse, ensuring data quality and optimizing existing pipelines while adhering to engineering standards.

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

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

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As a BI Data Engineer, you will focus on advanced data modeling, ETL management, database oversight, and collaborating with teams to generate insights and enhance data integrity.

The Data Engineer will develop ETL processes, maintain data pipelines, perform troubleshooting, and ensure scalable data architecture.

The Data Engineer will develop advanced PowerBI reports, optimize SQL queries, collaborate with stakeholders for reporting requirements, and ensure data accuracy across reporting solutions.

Hiring a Senior Data Engineer to design, develop, and optimize data infrastructure on Oracle, PostgreSQL, and Google Cloud, mentor juniors, and drive efficient data processing.

The Senior Data Engineer will design and optimize data infrastructure, develop data pipelines on GCP, mentor junior staff, and support data-driven decisions.

Lead the design and optimization of data infrastructure and pipelines across Oracle, PostgreSQL, and GCP. Mentor junior engineers and collaborate for data-driven solutions.

The Cloud Data Engineer designs, builds and maintains scalable data pipelines, implements big data storage formats, and integrates data solutions on AWS with Python, ensuring reliability and scalability.

The Data Engineer is responsible for designing and maintaining data pipelines using Azure Databricks, enhancing existing workflows, and providing production support.

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.

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.

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.