Top Data Engineer Jobs in the Philippines

The role involves supporting the sales cycle by providing technical expertise in Data Cloud and AI solutions, including building Proofs of Concept to demonstrate their value to stakeholders and advising on cloud architecture.

The role involves providing technical expertise in Salesforce's Data Cloud and Agentforce solutions, conducting Proof of Concepts, and advising on cloud architecture and AI capabilities for clients.

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.

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 role involves owning backend data management systems, developing data solutions, collaborating with team members, ensuring compliance, and optimizing databases.

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.

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.

As a Data Infrastructure Engineer, you will build systems for AI applications, focusing on data ingestion, storage, and high-performance query engines.

Design, build, and scale systems to ingest and process large volumes of financial data. Architect data lakes, develop multi-tenant relational databases, evaluate search/vector database solutions, and implement reliable data pipelines and workflow engines supporting mission-critical accounting automation.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

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.

Supports Marketing Data Engineering by performing data pipeline checks, validation, and operational tasks while monitoring scheduled data ingestion jobs.

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.

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

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.

Lead the delivery of large-scale data platforms and BI solutions, collaborating with clients and stakeholders, and overseeing the development lifecycle and data modeling processes.

Drive data engineering efforts by developing reports and analytics tools, training team members, and improving processes while collaborating with global teams.

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.