Top Data Engineer Jobs in Manila

Analyze data to derive actionable insights, develop predictive models, and communicate findings to stakeholders. Utilize various statistical and machine learning techniques to support data-driven decision-making.

The Data Engineer is responsible for delivering BI solutions for clients, including implementing AI-driven applications and developing reports and analytics tools. Requires collaboration with clients and teams and troubleshooting technical issues.

The Data Engineer develops data integration solutions, maintains data systems, collaborates with stakeholders for requirements, and communicates effectively during project delivery.

The Data Engineer builds and maintains data infrastructure to enable analytics and insights across the organization, ensuring data quality and performance.

The Data Engineer will build and maintain data pipelines, develop dashboards, automate reports, and ensure data accuracy for Finance. Requires 2-4 years experience with ETL processes and Power BI.

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

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.

Maintain the reporting data platform by building extraction pipelines in Airflow, transforming data in Snowflake, and managing access controls.

The Senior Backend Engineer designs and builds automated solutions for regulatory reporting, focusing on finance and risk datasets, and collaborates with Business Analysts. Responsibilities include coding, mentoring developers, ensuring system performance, and maintaining software standards.

The Data Engineer will analyze datasets, develop data pipelines, implement ETL processes, and collaborate with teams to derive insights and support decision-making.

The Data Engineer at HedgeServ will design and maintain ETL pipelines, transform data, produce documentation, and support incident responses, while collaborating with technical and business teams.

The Data Engineer will build scalable data pipelines, manage databases, collaborate on architecture, and ensure data accuracy for cloud-deployed systems.

Lead the data engineering team, overseeing data infrastructure design and management. Collaborate across teams to ensure efficient data handling for analytics and decision-making.

As a Lead Data Engineer, you will design and optimize data pipelines, mentor junior engineers, and collaborate with teams to ensure efficient data flow and quality.

The Data Engineer III will develop and maintain data pipelines, oversee data storage solutions, ensure data quality, and mentor junior engineers, while collaborating with cross-functional teams to enhance data-driven decision-making.

The Data Engineer will design and develop ETL processes, ensure data quality, report capabilities, and mentor junior team members while delivering data solutions to the business.

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

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

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 optimize data pipelines and models, collaborating with stakeholders to ensure data quality and governance.

The Cloud Data Engineer designs and develops data solutions on Azure, implements ETL processes, analyzes data quality, and mentors team members.

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

The Foundational Data Build Engineer will enhance data platforms, develop ETL pipelines, optimize workflows, and provide technical mentorship while collaborating with cross-functional teams.

The Data Management Intelligence Specialist analyzes complex data to provide insights and supports decision-making through reports and predictive analytics. Responsibilities include collaborating with teams, automating data collection, and presenting findings.

The Data Engineer will analyze raw data, build data systems, enhance data quality, develop tools, and meet business objectives.