Top Data Engineer Jobs in the Philippines

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.

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.

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 role involves providing technical expertise in Salesforce's Data Cloud and Agentforce solutions, conducting Proof of Concepts, and advising on cloud architecture and AI capabilities for clients.

The Data Operations Engineer is responsible for designing and maintaining data pipelines in Databricks, optimizing workflows, supporting client needs, and ensuring data quality in a production environment.

This role focuses on collecting data to support model training, operating the ingestion pipeline on GCP, and collaborating with scientists for data delivery.

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.

The Senior Data Engineer will develop and maintain data pipelines, create reports and dashboards, ensure data security and accuracy, and participate in agile ceremonies. Responsibilities include using SQL, dbt, and Azure technologies, as well as optimizing data solutions for the investment industry.

Design, develop, and maintain data solutions and applications, ensuring data quality and performance while collaborating with cross-functional teams.

As a Data Software Engineer, you will develop, test, and deploy data solutions, collaborating with teams to deliver software applications and resolve technical issues.

This role involves designing, developing, and deploying solutions for customer data management, focusing on data integrity and analytics.

The Senior Site Reliability Engineer will enhance data reliability and performance through collaboration, automation, and incident management, utilizing various database technologies.

The Cloud Data Test Engineer will test cloud-based data solutions, ensure data pipeline quality, perform end-to-end data validation, and create test plans.

The Data Test Engineer will perform quality assurance activities, create test plans, track defects, and collaborate with teams, requiring strong SQL and programming skills.

The Data Governance Engineer will lead data governance initiatives, support technical deployment, ensure data quality, and promote a data-driven culture across the organization.

Lead the Security Analytics roadmap, design scalable data schemas, build ELT/ETL pipelines, optimize data lake performance, and mentor team members in data practices.

The Junior Data Analytics Developer will support data-driven decision-making through data mining, analysis, and visualization tasks, collaborating across teams for business insights.

The Senior Data Engineer will develop and maintain data systems, ensuring efficient data transformation and retrieval while collaborating with stakeholders to meet business needs and deliver data-driven insights.

The role involves automating inspection data processes, analyzing trends, developing dashboards, and collaborating with cross-functional teams to enhance manufacturing efficiency.