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

Design, develop, and maintain data solutions, create data pipelines, ensure data quality, and implement ETL processes using Snowflake and other tools. Conduct performance tuning and establish data governance standards.

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

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

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 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.

As a Data Engineer, you'll design, build, and optimize data pipelines, collaborating with data scientists to enhance ING's data architecture.

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

Implement and maintain data workflows, ETL/ELT processes, design data storage solutions, and ensure quality outputs through testing and documentation.

The Data Engineer will design and maintain ETL pipelines using Python, transform data for proprietary applications, provide documentation, and support incident response while collaborating with multi-functional teams.

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

As a Data Engineer, you will develop and maintain data infrastructure, lead projects, collaborate with teams to meet data requirements, and implement data quality checks while utilizing various technologies.

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