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
Analytics Data Engineering
Builds and maintains Qlik Sense dashboards and data models, pulling from Snowflake/SQL Server to deliver interactive analytics for business users.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Data Engineer
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Data Engineer for Azure, Fabric & AI Pipelines
Design and maintain modern data solutions using Microsoft Azure, Fabric, and Python pipelines for innovative projects.
Data Engineer
Design and maintain scalable data pipelines, ETL processes, and warehousing solutions using Python, SQL, and Kafka to support analytics and reporting.
Data Engineer
Designs and maintains ETL pipelines, data models, and Power BI datasets, integrating ERP and CRM systems like Dynamics 365 and Salesforce.
AI Data Engineer: Scalable AI for Healthcare & LLMs
Designs and deploys AI systems for healthcare insights and recruiter automation using Python and machine learning.
Data Engineer
Build and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to support analytics and reporting.
Data Scientist | GCP BigQuery, Python, Data Engineering
Data Scientist builds and optimizes data pipelines on GCP BigQuery and Python to support banking analytics and reporting.
Data Engineer
Builds and maintains scalable ETL pipelines on Databricks and AWS to turn raw data into clean, analytics-ready datasets for reporting and Power BI.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and analytics for a global enterprise.
Data Engineer
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Data Architect & Cloud Data Engineer
Designs and builds scalable cloud data platforms across AWS, Azure, and GCP, leading AI-driven data pipelines and architectures for enterprise clients.
Senior Data Engineer - Lead Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines and analytics platforms for an educational publisher, ensuring data quality and security.
Data Engineer
Maintains and modernizes data architecture (SQL Server, Power BI, SSRS), builds ETL pipelines, models data, and supports dashboards for global clients.
Operational Excellence & AI Data Engineer
Build and deploy AI-driven analytics, automation, and data solutions to streamline reinsurance operations using Python, SQL, Power BI, and C#/.NET.
Data Engineer
Build and scale production-grade data pipelines and Lakehouse infrastructure using Azure, Databricks, Python, and Spark to power analytics and AI for enterprise risk and financial advisory services.
Intern, Data Engineering & Analytics
Build and maintain Python-based data pipelines, integrate APIs, and create Power BI dashboards to automate reporting and analytics workflows.