Top Data Engineer Jobs in Quezon City

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.

As a Data Engineer, you will analyze information needs, design and deploy data processing applications, maintain infrastructure, and resolve incidents in production while supporting internal staff and stakeholders.

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

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.

Own and maintain analytics instrumentation and data pipelines using Segment, ensuring reliable event tracking to Mixpanel, GA4 and AppsFlyer. Use Terraform for version-controlled analytics infrastructure, monitor and audit data quality, maintain schema documentation, translate business needs into tracking, and configure mobile/web attribution and deep-linking.

The Senior Data Engineer will lead the design and development of data platforms, API development, data ingestion, and performance optimization while mentoring junior developers and ensuring data governance practices.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.