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
Remote Senior AWS Data Engineer — Cloud-Native Platforms
Designs and builds cloud-native data platforms on AWS, including data lakes and scalable ETL/ELT pipelines, to deliver clean, governance-compliant datasets for analytics and BI.
Remote Amazon SP API & Financial Data Engineer
Builds accounting tools for Amazon FBA sellers using SP API to automate financial reporting, reconcile settlement/return data, and consolidate ledger reports.
Senior Data Engineer: Azure Databricks Platform Lead
Designs and builds scalable data pipelines on Azure Databricks to ensure reliable, high-quality data for analytics, ML, and AI-driven solutions in a climate-tech manufacturing context.
Data Engineer II: Global DB Solutions & Performance
Designs, builds, and optimizes global database systems using SQL Server, DB2, MongoDB, and Snowflake to ensure high performance and data integrity across time zones.
Senior AWS Data Engineer — Cloud-Native Data Platform Lead
Design and build cloud-native data platforms on AWS, focusing on scalable pipelines, governance, and cost-optimized operations for analytics and BI.
Remote Data Engineer: ADF & Power BI Expert
Build and maintain Azure Data Factory pipelines and Power BI/Microsoft Fabric reports, ensuring data quality from ERP/CRM sources in a remote Philippines role.
Finance & Supply Chain Data Engineer - Build Scalable Data Solutions
Designs and builds scalable data pipelines for finance and supply chain systems, ensuring reliable data ingestion and transformation in a warehouse and data lake environment.
Onsite Data Engineer - ETL & Coding Specialist
Builds and optimizes ETL pipelines and data architectures for a municipal civil registry using Python or Java.
Senior Data Engineer – Databricks & PySpark for Finance
Design and optimize scalable ETL pipelines using PySpark and Databricks for a global financial institution’s data infrastructure.
BigQuery Data Engineer — Looker & ETL Specialist (EST)
Designs and optimizes Google BigQuery data pipelines and Looker dashboards to deliver scalable analytics solutions for stakeholders.
Cloud Data Engineer - SAP HANA DP Administration
Designs, deploys, and maintains scalable cloud databases using SAP HANA, Kafka, and Kubernetes, automating with Ansible/Terraform and supporting 24/7 operations.
Azure Data Engineer: Medallion Arch & PySpark on Databricks
Designs and maintains scalable Azure data pipelines using PySpark, Spark SQL, and Medallion Architecture to power enterprise reporting and analytics.
Senior Data Engineer - Hybrid (Azure, Snowflake, dbt)
Design and maintain scalable ETL/ELT pipelines using Azure Data Factory, Snowflake, dbt, SQL, and Python to support marketing analytics and enterprise data.
Senior Data Engineer - Real-Time ETL, Spark & AWS
Designs and builds real-time ETL pipelines using Spark and AWS to process crypto transaction data at scale.
Hybrid Data Engineering PM for Cloud & DWH Modernization
Lead cloud and data warehouse modernization for a bank’s analytics ecosystem, building scalable data pipelines and governance for AI use cases.
Data Engineer (AWS) | Hybrid Set up - BGC
Build and maintain AWS-native data pipelines and warehouses for telecom analytics using S3, Redshift, Glue, and Python/SQL.
Data Engineer: Azure ETL & Data Warehouse Architect
Designs and builds Azure-based ETL pipelines and data warehouses to support analytics and AI-driven solutions for a mortgage company.