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 Principal Engineer — AI & Data Platform
Principal Engineer to design and build AI & data platforms, mentor engineers, and own end-to-end delivery in a remote role aligned to UK business hours.
Tech Lead Data Engineer — OLAP, Airflow & AWS Leadership
Leads a team to build and maintain high-volume marketing analytics pipelines using OLAP, Airflow, and AWS (S3, Athena, EKS), defining schema, partitioning, and near-real-time processing for data lakes.
Senior Data Engineer: Lead Data Platform Architect (Remote)
Designs and builds scalable data platforms, leads architecture decisions, and develops ETL pipelines using Python, Spark, SQL, Databricks, and AWS.
DATA ENGINEER
Build and maintain ETL/ELT pipelines that move financial data from core systems (SAP/Oracle, Salesforce) into BigQuery and analytics dashboards, ensuring data quality and availability.
Snowflake Data Engineer: Modernization & AI
Designs and builds Snowflake-based data pipelines and semantic models to power analytics and AI initiatives using SQL and Python.
Data Engineer
Design and maintain scalable data pipelines and platforms on AWS/GCP to process millions of transactions per second, enabling real-time analytics and operational decision-making.
Tech Lead Data Engineer
Lead a team to design and own ETL pipelines and OLAP data architecture for a large-volume marketing analytics platform using AWS S3 data lakes, Athena, Airflow, and Python.
IT Data Engineer (Snowflake)
Designs and builds scalable Snowflake data solutions for analytics and AI, including pipelines, semantic layers, and Cortex-enabled features using SQL, Python, and modern data-warehousing practices.
Data Engineer: Pipelines, Data Quality & Big Data Impact
Builds and maintains data pipelines connecting financial systems (SAP/Oracle, Salesforce) to BigQuery, ensuring data quality and availability for enterprise dashboards.
Cloud Data Engineer: Real-Time Pipelines & DataOps
Builds and maintains cloud-native data pipelines and platforms to securely move and govern data for real-time analytics and operational use cases.
Python AWS Data Engineer – Serverless & Observability
Builds serverless AWS data pipelines in Python, integrating Snowflake, Salesforce, and REST APIs while ensuring observability and reliability.
Data Platform Engineer
Design, build, and maintain automated data pipelines and APIs to deliver clean, real-time data for analytics and decision-making.
Senior Data Engineer & Platform Lead (Azure Databricks)
Senior Data Engineer builds and leads a healthcare-focused Azure Databricks data platform using PySpark, Python, SQL, and Delta Lake, mentoring junior engineers and ensuring production-grade pipelines.
Real-Time Market Data Engineer – Linux & Cloud
Maintains real-time financial market data feeds, optimizes latency, and ensures data integrity for trading systems on Linux and cloud platforms.
Power Platform Data Engineer & BI Solutions
Designs and maintains Microsoft Power Platform data workflows and BI solutions for global Professional Development operations using SQL, Power Apps, Power BI, and SharePoint.
Lead Data Engineer — Cloud Migrations & Scalable Pipelines
Lead a team to design and build cloud-based data pipelines that migrate legacy systems to modern, scalable infrastructures while ensuring reliable data delivery and governance.
Data Engineer, Marketing Analytics Warehouse
Designs and maintains a marketing data warehouse and pipelines to feed digital customer experience and integrated marketing initiatives.
Data Engineer L3: Azure Databricks & Data Pipelines
Designs and builds Azure Databricks-based data pipelines and storage solutions using SQL, Python, and PySpark to optimize data flows and warehouse performance.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable healthcare data pipelines using Azure Databricks, PySpark, and Medallion Architecture, while mentoring junior engineers and ensuring production-grade data quality.