Top Data Engineer Jobs in Manila

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

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

The candidate will process client reports, streamline workflows, support teams with data analytics, and develop data expertise for informed decisions.

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

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.

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 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 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 role involves cleaning, organizing, and maintaining customer and operational data for analytics. Responsibilities include fixing data pipelines, building reliable data models, ensuring data quality, and collaborating with teams on data needs.

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.

The Data Engineer will develop and maintain data pipelines using Azure Databricks, support production services, and ensure best practices in code management while collaborating with various teams in an Agile environment.

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.

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

As a Data Engineer, you will drive the security IT roadmap by connecting data sources, creating ETL scripts, and building reports on a data analytics platform, ensuring data insights for management and engineers and enhancing overall IT security.

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 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 Engineer develops and manages the Manufacturing Data Lake, optimizing data pipelines, supporting CI/CD processes, and collaborating with IT and business teams.