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 (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.
Cognos Data Engineer (Senior to Lead)
Senior to Lead Data Engineer builds and optimizes IBM Cognos reports, dashboards, and data models for business intelligence, using SQL and Oracle databases.
Data Engineering Manager — Databricks & BI Lead
Leads a team building and optimizing scalable data pipelines on Azure Databricks and Microsoft Fabric to power BI and AI use cases across enterprise platforms.
Senior Software Engineer, AI-Powered Data Platform
Senior Software Engineer builds AI-powered data platform features using React, Python APIs, and AWS, including LLM agents and RAG for secure, scalable financial data experiences.
Lead Data Engineer – Data Solutions & Analytics
Lead a team to build and maintain scalable data pipelines and infrastructure for analytics and modeling in a banking environment.
Senior GCP Data Engineer: Pipelines & Real-Time Data
Senior Data Engineer builds and optimizes GCP pipelines—batch and real-time—using BigQuery, Spanner, Airflow, and Dataflow to ensure reliable data ingestion and processing.
Data Engineer (PH)
Build and maintain scalable data pipelines on Databricks and AWS, focusing on ETL, real-time streaming with Spark/Kafka, and cloud infrastructure optimization.
Senior Data Engineer
Senior Data Engineer builds and operates AWS-based financial data platforms, cloud infrastructure, and AI agents for accounting automation, while directly engaging with clients to design and deploy solutions.
Data Engineer Team Lead
Lead a team that builds and maintains scalable data pipelines and warehouses for a Philippine bank, using Python, SQL, Snowflake, DBT, and Airflow to ensure clean, reliable data for analytics and decision-making.
Data Engineer - Mexico
Design and build scalable data platforms on AWS, Azure, and GCP, using cloud warehouses, Spark, Kafka, and Python/Java to enable AI-driven analytics for enterprise clients.
Azure Data Engineer
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Staff Data Engineer
Lead the design and evolution of a robust Data Platform, building certified data products from sales, inventory, logistics and finance datasets to ensure reliable, traceable and actionable business decisions.
Data Engineer (AWS) | Work From Home
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Senior Data Engineer
Designs and builds scalable cloud data pipelines, warehouses, and analytics platforms using Python, SQL, Spark, and cloud tools like BigQuery and Snowflake, with optional Gen AI integration.
Senior Data Engineer (Python) – Cloud Data Pipelines
Designs and optimizes cloud data pipelines on AWS using Python to support scalable data infrastructure for a tech company in Metro Manila.
Data Engineering Lead (Snowflake/Databricks)
Lead a team to build and optimize scalable data pipelines using Snowflake, Databricks, and Kafka, ensuring security, governance, and performance for a global fast-food company.