Data Engineering Jobs in Philippines
There are 1,071 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 50%
- 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 122
- 501-1000 employees 37
- 11-50 employees 8
- 51-200 employees 8
- 201-500 employees 1
DATA ENGINEER – MAJESTIC PRESS INC.
Designs and maintains data pipelines to move and transform raw data into usable formats for analytics and reporting using Python, Java, and ETL tools.
Senior Data Engineer — GCP Pipelines & Analytics Lead
Leads GCP data pipelines and analytics for MSP customers, optimizing delivery and mentoring teams using Python and SQL.
Databricks Data Engineer: Build Scalable ETL Pipelines
Design and maintain scalable ETL pipelines using Databricks, Python, and SQL to ensure reliable data solutions in a cloud environment.
Azure Streaming Data Engineer
Builds and maintains Azure-based data pipelines and workflows, integrating Python and Spark to support analytics and cross-functional teams.
Data Engineer( up to 200K php)
Builds and maintains ETL pipelines and data models using Airflow and dbt to transform raw data into clean, governed layers for analytics and reporting.
Cloud Data Engineer – Manufacturing Data Lake
Builds and optimizes a cloud-based manufacturing data lake using AWS services, Python, and SQL to support data-driven decision-making.
Data Engineer - Databricks Unified Data Analytics
Designs and maintains Databricks-based data pipelines and ETL processes using PySpark and SQL to ensure clean, accessible data for analytics and reporting.
Data Engineer: Cloud ETL & Analytics Pipelines
Designs and maintains cloud-based ETL pipelines using AWS and Azure to feed analytics systems and support data-driven decisions.
Data Engineer: Build Scalable Data Platforms
Designs and builds scalable databases and ETL pipelines, enabling data scientists to analyze and optimize systems using SQL and programming.
Senior Data Engineer: Architect Scalable Pipelines & Governance
Senior Data Engineer designs and builds scalable data pipelines and architectures to support analytics and AI initiatives at Spin.
Senior Data Engineer: Scalable Pipelines & Snowflake/AWS
Design and maintain scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power analytics platforms and ensure data quality.
Data Engineer - SME (Databricks) - Hybrid
Leads data engineering initiatives, migrates systems to Azure Databricks, and guides the team on Python, ETL, and data architecture best practices.
Senior Data Engineer - Azure Databricks & Spark
Build and maintain large-scale data pipelines using Azure Databricks, Spark, and PySpark, optimizing performance for TB-scale processing and collaborating with cross-functional teams.
Senior Data Engineer (Hybrid) | Cubao
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Data Engineer Advisor: Build Scalable Pipelines & Analytics
Designs and maintains scalable data pipelines and analytics solutions using SQL and Python, ensuring data integrity and supporting cross-team collaboration.
Hybrid Data Engineer – AWS/Databricks Lakehouse
Designs and maintains AWS/Databricks data pipelines, ensuring quality and scalability for batch and streaming workloads.
Senior Data Engineer: Lakehouse & NebulaGraph Architect
Designs and builds scalable data architectures using Apache Iceberg, NebulaGraph, Spark, and Airflow to ensure traceable, governed, and accessible data pipelines.
Senior Cloud Data Engineer - Healthcare Analytics
Senior Data Engineer builds and optimizes cloud data warehouses and pipelines for a healthcare analytics company using SQL and Google BigQuery.