Top Data Engineer Jobs in Manila

Lead Data Engineer to design, build, and maintain scalable ETL pipelines and cloud data platforms, optimize data models/warehouses, ensure data quality and governance, and collaborate with analytics and business teams.

The Data Engineer will design, develop, and maintain data pipelines, ensuring accurate data for reporting and decision-making, while improving internal processes and keeping up with technology trends.

Monitor daily data intake across channels, perform QA to detect inconsistencies or unusual trends, troubleshoot ingestion issues, document findings, and propose process/product improvements while working scheduled shifts.

As a Software Engineer on the AI team at Speechify, you will manage data collection, enhance cloud infrastructure for ingestion pipelines, and collaborate on datasets for model training.

The Data Engineer will design, build, and maintain scalable data solutions, focusing on data pipelines, ETL/ELT processes, and cloud platforms, particularly Snowflake.

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

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

The Senior Data Engineer designs and builds complex automation solutions using RPA technologies and programming languages to meet business needs, ensures governance and delivery quality, and mentors junior engineers.

Design, build, and operate scalable cloud-native data platforms with a Snowflake core. Build ELT/ETL pipelines, optimize performance and costs, ensure data quality and governance, enable self-service analytics, mentor junior engineers, and collaborate with stakeholders to deliver trusted analytics and operational reporting.

The Senior Data Analytics Developer will lead data analysis initiatives, develop BI solutions, and enhance reporting capabilities across various teams, focusing on large datasets and advanced technologies to drive business insights.

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 Senior Data Engineer will design and optimize data pipelines from SAP to Databricks, focusing on CDC and stream processing. Responsibilities include managing Kafka components, CI/CD pipelines, and ensuring data quality while collaborating with various teams.

The Data and Reporting Engineer collects, transforms data, ensures data quality, develops reports and dashboards, and manages data projects in the financial services industry.

Design, maintain, and optimize SQL stored procedures, create SSIS packages, work with databases, analyze data flow, and ensure data quality.

The Senior Data Engineer will profile, cleanse, and document datasets; support app development with data pipelines; ensure data quality; automate analyses; and collaborate across functions, using AI to optimize business functions.

Design and implement scalable Microsoft Azure data platforms, manage data pipelines and streaming solutions, ensure data integrity, apply reliability engineering practices, and work collaboratively in Agile teams to drive improvements.