Top Data Engineer Jobs in the Philippines

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.

Design, build, and configure Salesforce Data Cloud solutions including data models, ingestion/integrations (batch/API), data transformation, calculated insights, segment creation/activation, and collaborate across teams to deliver scalable CRM modules.

Own and scale core data infrastructure across warehouse, BI, and operational systems. Build and optimize DOMO reporting and data flows, integrate Snowflake, BigQuery, and SQL Server data, administer Snowflake, create scalable ingestion/transformation pipelines, develop dbt models and orchestration (Airflow/Dagster), monitor data quality, and partner with stakeholders to deliver reliable analytics.

Develop and maintain Power Platform-based BI solutions and automations, perform ETL and data cleansing, build Power BI dashboards and predictive risk models, integrate AI/ML into reporting, and support cybersecurity, IT, and finance data collection and visualization for senior leadership and operational teams.

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.

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.

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.

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.

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.

Hands-on senior data engineer role building and operating client-specific ELT pipelines and three-layer dbt projects on cloud warehouses (pref. BigQuery). Own pipeline operations, reconciliation and testing, semantic layer/metric definitions (Cube.dev), freshness/anomaly monitoring, PII-aware quality frameworks, and translate client domain discovery into reliable business marts to power dashboards and AI queries.

Lead site-based CSA activities for data centre projects: manage contractors, ensure compliance with design, safety and quality, coordinate stakeholders, produce reports, and support project leadership.

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 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.

Provide day-to-day operational support for Back End (BE) Operations and ATO governance, maintain and enhance governance databases, produce reports and dashboards, perform data analysis, coordinate cross-site stakeholders, execute improvement actions, and support process consistency and continuous improvement across BE sites.

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.

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.