Top Data Engineer Jobs in the Philippines

Design, develop, and maintain scalable ETL/ELT pipelines in Azure (ADF, Databricks); build and govern data models and dictionaries; integrate and ensure data quality; automate pipelines with DevOps/CICD; collaborate with data scientists, analysts and business stakeholders; perform performance tuning and capacity planning. Hybrid role with night-shift schedule.

Design, build, test, tune, and support production ETL/data pipelines using PySpark, Python, advanced SQL, and AWS data services. Implement CDC, incremental loads, idempotent processing, reconciliation, data quality checks, and maintain documentation, tests, and release support while collaborating with analysts, architects, QA, DevOps, and senior engineers.

Early-career data analytics engineer supporting manufacturing operations by developing dashboards, cleaning and analyzing process data, building reports (Python/SQL/Power BI), automating reporting, and translating insights into process improvements while participating in the BEST program.

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.

Design, develop, and maintain scalable ELT/ETL data pipelines and reusable data models using Azure Data Factory, dbt, Snowflake, SQL, and Python. Collaborate with Marketing and business stakeholders to translate requirements, ensure data quality, optimize Snowflake performance, monitor production pipelines, maintain documentation and data lineage, and mentor junior engineers.

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.

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.

Lead design and implementation of scalable, secure Forma Data cloud services. Act as technical lead across full software lifecycle, write and operate cloud services, mentor engineers, solve complex distributed-system problems, and collaborate globally to integrate SaaS products with Autodesk tools.

Senior Data Engineer responsible for designing, building, and operating Enterprise Data Lake solutions. Implement ETL/ELT using Spark/Python and Azure services, monitor platform performance, perform POCs, support business users, handle incidents/changes, write documentation, execute tests and platform updates, and support agile delivery squads.

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.

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.

Lead automation of inspection data collection and reporting, analyze yield-impacting trends, build real-time dashboards, integrate cross-system data, manage inspection algorithm updates and validations, and drive digital transformation to improve factory efficiency and data integrity.

Builds and maintains manufacturing analytics tools and software to improve cost, performance, and quality. Integrates AI solutions for shopfloor use, supports applications like Label AI Verify, Transparent Line, and Material Release Tool, and ensures continuous system uptime and process improvements.

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 Data Architect will design and implement data infrastructure, collaborating with teams to enhance data usage for analytics, automation, and AI, while ensuring compliance and governance.

Designs, develops, and maintains Power BI dashboards, semantic/data models, and reporting datasets. Uses SQL and DAX to transform and validate enterprise data, partners with stakeholders to define KPIs, troubleshoots BI solutions, and contributes to governance and continuous improvement across GBS finance and operations.

Lead design and optimization of scalable ETL/data pipelines across on-premise and cloud environments, implement Microsoft Fabric solutions, build Power BI reports and unified data models, manage integrations and migrations (including Dynamics/Dataverse), ensure data quality/security/governance, troubleshoot and automate workflows, engage customers for requirements and delivery, and mentor team members.

Build and operate AWS serverless infrastructure and data pipelines, design integrations across accounting and business apps, develop and test LLM-based financial agents, lead client discovery sessions, and document and standardize platform and agent implementations to maintain security and compliance.

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

Lead design, implementation and optimization of data infrastructure and scalable ETL pipelines across Microsoft Fabric, on-premise SQL, and Dynamics 365. Ensure data quality, governance, security, and unified data models. Build Power BI dashboards and analytical models, manage migrations and integrations, troubleshoot complex issues, document solutions, mentor team members, and drive platform adoption and best practices.

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.

Operate, monitor and improve production DataOps/ETL workloads for SLHK: manage enterprise schedules and SLAs, lead incident response, execute controlled changes, run data quality checks with evidence, maintain runbooks, and publish/automate service reporting.

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

Hands-on APAC-focused database engineer responsible for administering and optimizing enterprise Oracle and multi-database platforms across OCI and AWS. Duties include migrations, patching, backup/recovery, HA/DR, performance tuning, automation (IaC/CI-CD), monitoring, incident resolution, and collaboration with global teams to ensure service reliability and operational excellence.