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
Senior Data Engineer - 7430
Design and maintain scalable data pipelines and models, set engineering standards, and mentor teams using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Senior Data Engineer - 7430
Senior Data Engineer builds and maintains scalable data pipelines, integrations, and analytical services for a global academic publisher, using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Senior Snowflake Data Engineer
Design, deploy, and optimize Snowflake data warehouses and infrastructure using Terraform, ensuring secure, high-performance analytics for cross-functional teams.
Data Engineer Associate Manager
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Senior Data Engineer – AWS Data Platform & ETL
Designs, builds, and optimizes an AWS-native data warehouse and ETL pipelines for enterprise-scale telecom analytics, ensuring scalable, production-ready solutions.
Senior Data Engineer / ML Platform
Build and scale a cloud-native data platform on AWS to power real-time recommendations and analytics for Europe’s leading brands.
Data Engineer Manufacturing Data Services
Builds and maintains a cloud-based Manufacturing Data Lake, ingesting plant data from Oracle databases and optimizing cloud pipelines using AWS services like S3, Lambda, and Athena.
Data Engineer | Hybrid - BGC
Designs and builds data pipelines, ETL processes, and streaming ingestion using Spark, Kafka, and cloud tools to feed analytics platforms.
Data Engineer (Trade Surveillance)
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Azure Synapse Data Engineer + Inglés
Build and maintain cloud data pipelines and analytics platforms using Azure Synapse, PySpark, and SQL for large-scale enterprise projects.
Cloud Data Engineer - Healthcare Analytics & Pipelines
Designs and builds cloud data pipelines and warehouses for healthcare analytics using SQL and Google BigQuery.
Power BI - Data Engineer
Designs and builds data pipelines using Power BI, Azure Data Factory, Databricks, and Python to deliver business insights and automate reporting.
Mid-Level Data Engineer: Pipelines & Impact
Designs and builds data pipelines to move and transform data efficiently, writing maintainable code while collaborating with cross-functional teams in an agile environment.
Senior Data Engineer Bilingual
Designs and maintains scalable data pipelines and cloud-based data solutions to support analytics, reporting, and machine learning initiatives using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Data Engineer (MSP)
Build and maintain cloud-native AWS data platforms, ETL/ELT pipelines, and data lakes to support analytics and BI use cases.
Senior Data Engineer: Scalable Pipelines & Analytics
Designs, builds, and maintains scalable data pipelines and analytics solutions using C#/.NET, SQL, and BI/ETL tools to support data-driven initiatives.
Data Engineering Lead: Scale Pipelines & Guide the Team
Lead a team to build and maintain data pipelines for a Philippine bank using Airflow, DBT, and modern warehousing to ensure reliable analytics and reporting.
Senior Data Engineer: Cloud Data Pipelines (Python/AWS)
Designs and builds serverless cloud data pipelines in Python and AWS, focusing on scalability, security, and automated CI/CD for enterprise-scale projects.