Top Data Engineer Jobs in Quezon City

Collect, transform, and store data from multiple sources; build and maintain ETL pipelines, data warehouses/lakes, and data models; produce reports and interactive dashboards; implement data quality, governance, automation, monitoring, and documentation; lead onshore reporting projects and apply Agile practices.

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

Work with client teams to define test strategy, build automation frameworks, and validate quality across web and mobile. Implement automated testing using Playwright and Maestro, apply AI-assisted workflows to accelerate test design and maintenance, and contribute to platform-level quality practices within a hybrid delivery model.

Serve as a trusted, client-facing data engineering lead for MSP customers: design, maintain and monitor automated ETL/ELT data pipelines and data infrastructure on GCP, troubleshoot and resolve platform issues, maintain data models for analytics, implement best practices, document managed-service processes, mentor junior engineers, and coordinate quarterly customer reviews and implementations.

Senior Data Science Engineer designs, develops, and deploys ML models (including Transformer-based models and AI agents) on Google Cloud. Collaborates with clients, uses MLOps, version control, and cloud ML tools, and provides technical guidance while staying current with ML advancements.

Design and implement scalable data and AI solutions. Build and optimize EL(T) pipelines, manage data extraction/integration/storage, apply software engineering best practices, mentor team members, collaborate with stakeholders, and drive AI/data platform adoption across projects.

Lead technical delivery of large-scale data platform and BI solutions: gather requirements from clients, design and implement data platforms, build ETL/ELT pipelines, perform data modelling and SQL performance tuning, provide documentation, training and knowledge transfer, and advise on profiling, integration and platform performance/cost.

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.

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.

Support and optimize large-scale Spark/YARN jobs and storage (S3/EMR). Build job-profiling, cost-analysis, AI-assisted automation, monitoring/alerting (Prometheus, Flink/Spark), and internal ops tooling to improve stability and reduce costs.

Design, code, and maintain SQL procedures; troubleshoot database issues; review SQL code; create SSIS packages; perform data analysis and profiling.

The Senior Data Engineer will design and maintain ETL pipelines, develop data architecture, and collaborate with teams to integrate and ensure data quality for analytics.

The role involves developing and maintaining frontend software on ClickUp, enhancing backend workflows with Make, and integrating tools for improved data management and automation.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Design, develop, and maintain high-performance, highly available backend services and APIs for Big Data products using Java/Python. Manage full service lifecycle, capacity planning, profiling/benchmarking, troubleshooting, security, and system architecture. Contribute to open-source big data projects and build scalable tools for global operations.

Design and build high-throughput reconciliation systems and data pipelines. Implement real-time (Flink) and batch (Hive) workflows, write complex SQL for validation and anomaly detection, collaborate with Finance/Risk/Product on reconciliation rules, optimize for low latency, and leverage AI/LLM tooling to automate triage and improve operations.

Lead design and implementation of scalable, high-performance backend services for traditional and AI-powered search. Own search architecture, optimize indexing/retrieval/ranking, build reusable frameworks, collaborate with data scientists on LLM-enabled search and agents, and deliver robust, low-latency solutions.

Design and develop high-performance backend services for an AI-powered trading assistant: build AI agent execution, trading order execution, AI sub-account and API key lifecycle management, integrate Binance trading APIs, implement skills/tool-calling frameworks, and ensure scalable, low-latency real-time data pipelines, observability, and security.

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.

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 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.

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.