Data Engineering Jobs in Philippines
There are 1,079 open Data Engineering jobs in Philippines on freehire right now. 303 of them were posted recently. The skills employers ask for most often are sql, data-pipelines and analytics.
Most requested skills
- sql 58%
- data-pipelines 52%
- analytics 49%
- python 49%
- cloud 47%
- etl 46%
- data-engineering 43%
- data-quality 36%
How the work is done
- Hybrid 121 · 11%
- Remote 55 · 5%
- Onsite 15 · 1%
Visa sponsorship offered in 25% of the 16 postings that state a position on it.
Seniority
- Senior 268
- Lead 87
- Middle 28
- Junior 13
- Staff 13
- C-level 4
Who is hiring
- 1000+ employees 124
- 501-1000 employees 37
- 11-50 employees 8
- 51-200 employees 8
- 201-500 employees 1
Data Engineer
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Clinical Data Engineer/Enablement
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Integration & Data Engineer | WFH
Design and maintain secure, reliable data flows between enterprise systems like CRM, ERP, and analytics platforms using APIs, ETL, and event-driven patterns.
Sr Data Engineer (Snowflake)
Senior Data Engineer builds and scales Snowflake-based cloud data platforms, designs ELT pipelines, and optimizes data models to power analytics and reporting across a fintech organization.
Data Engineer: Snowflake Pipelines & ETL for Impact
Design and optimize Snowflake-based data ingestion pipelines and ETL workflows using SnowPipe, dbt, and GitHub to deliver scalable analytics platforms for enterprise clients.
Data Engineering Lead — Hybrid, Cloud & Data Quality
Design and operate cloud-based data pipelines to collect, clean, and transform raw data for business insights in a hybrid fintech setting.
Marketing Data Engineer| Hybrid
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Data Engineer (Enterprise Data Warehouse)
Build and maintain scalable data pipelines and warehouse solutions using C#, .NET, Python, and Azure tools to power analytics and business intelligence.
Data Engineer Solution Specialist - Hybrid (Manila)
Designs and maintains data pipelines, curates high-quality datasets, and builds scalable analytics solutions for risk management in a hybrid Manila office.
Data Engineer - Orientación Gobierno de Datos
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Founding Data Engineer — Data Warehouse & AI Foundations
Build and maintain Plain’s data warehouse and core models using SQL, BigQuery, and dbt/Dataform to ensure reliable analytics for decision-making.
Senior AI Data Engineer, RevOps Data Foundation
Senior AI Engineer improves customer data quality for sales operations, unifying datasets to meet AI-ready standards while ensuring accuracy and governance.
Data Engineer
Build and maintain Python-based ETL pipelines for fund administration, converting raw financial data into formats for proprietary systems while supporting global teams.
Senior Data Engineer
Senior Data Engineer builds and maintains a scalable Medallion Architecture on GCP, using BigQuery, dbt, Fivetran, and Looker to turn raw data into reliable, business-ready insights for an HMO.
Data Engineer
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Data Engineer
Builds Power BI dashboards and reports to turn raw sales data into clear, actionable insights for stakeholders.