Data Engineering Jobs in Philippines
There are 1,081 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 269
- Lead 89
- Middle 28
- Junior 13
- Staff 13
- C-level 4
Who is hiring
- 1000+ employees 126
- 501-1000 employees 37
- 11-50 employees 8
- 51-200 employees 8
- 201-500 employees 1
Databricks Data Engineer: Build Scalable Pipelines & ELT
Data Engineer designing and maintaining scalable data pipelines and ELT processes using Databricks, ensuring data quality and governance across diverse systems.
GCP Data Engineer — Data Lakes, BigQuery Pipelines (Remote)
The Data Engineer will design, build, and optimize data pipelines on Google Cloud Platform, focusing on BigQuery, data lakes, and data warehouses. The role involves gathering client requirements, implementing ETL/ELT processes, and mentoring junior team members.
Data Engineer - Hybrid/Remote Pipelines & Data Architecture
The Data Engineer will design, build, and maintain scalable data pipelines to support analytics and machine learning initiatives. The role focuses on ETL/ELT development, data warehouse and lake architecture, and ensuring data quality and security.
Senior Data Platform Engineer — Scalable Data & ML Pipelines (Remote)
The Senior Data Platform Engineer will design and maintain scalable data infrastructure to support analytics and AI initiatives. The role involves building data pipelines, optimizing SQL queries, and managing ML workflows using cloud platforms like AWS, GCP, or Azure.
Cloud Data Engineer: Delta Lake, Databricks & Informatica
A Data Engineer building and modernizing cloud data pipelines, migrating legacy ETL workflows, and implementing Delta Lake medallion architecture using AWS, Databricks, Informatica, PySpark, and SQL.
Cloud Data Engineer for Analytics & AI Platform
The Cloud Data Engineer will design and maintain scalable data pipelines and cloud-based platforms on Azure to support analytics and AI/ML initiatives. The role involves developing ETL/ELT processes, creating Power BI dashboards, and collaborating with data scientists to deploy models.
Lead Data Engineer: Azure Databricks & Data Platform
Lead data engineering initiatives on a unified data platform, driving Azure Databricks migration and collaborating with architects and security, using Python/ETL, data governance, and API integration in a hybrid BGC, Taguig setup.
Data Engineer
The Data Engineer will build and maintain data pipelines, transformation jobs, and storage structures to ensure data quality and availability. The role focuses on integrating data across various platforms.
Data Engineer – Data Warehouse
Data Engineer building and optimizing enterprise ETL pipelines using IBM DataStage, SQL, Unix/Shell scripting across DB2, Netezza, and Snowflake, with Control-M for workflow scheduling.
Data Engineer (Python, ETL & SQL)
Data Engineer responsible for designing scalable big data infrastructure, building ETL pipelines, and creating reports using Python, SQL, and cloud resources.
Associate Snowflake Data Engineer – Scalable Pipelines
Associate Snowflake Data Engineer designing, developing, and maintaining Snowflake-based data solutions for enterprise data platforms in a collaborative environment.
DATA ENGINEER
HRIS technical support role focused on Darwinbox system configuration, workflow automation, module setup, and troubleshooting for a cold storage company, using HTML, CSS, JavaScript, SQL, and APIs.
Data Engineer – Snowflake
Data Engineer (Snowflake) on a managed services team, building and maintaining Snowflake-based ETL/ELT pipelines, optimizing query performance, and supporting enterprise data platforms using Snowflake, SQL, Python, and cloud platforms.
AI Data Engineer for Cloud Analytics & Automation
Design, build, and optimize data integration and analytics platforms, working on scalable data pipelines, models, and governance across enterprise systems using SQL, Snowflake, Informatica Cloud, and Power BI.
Azure Databricks Web & Data Engineer
Design, build, and optimize scalable data products using Azure Databricks and PySpark, collaborating with business and technical teams on end-to-end data solutions, data governance, and CI/CD processes.
Lead Data Engineer: Azure Databricks & ELT Architect
Lead Data Engineer responsible for designing and delivering scalable enterprise data and analytics solutions using Azure Databricks and ELT architecture, while mentoring engineers and promoting CI/CD and data quality practices.