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
Data Engineer
Builds and maintains scalable data pipelines and services for a luxury fashion resale platform, collaborating with analysts and engineers to deliver high-performance data products.
Data Engineer
Builds and optimizes cloud-based data pipelines on GCP, AWS, or Azure for a product-focused team.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure on GCP/AWS/Azure to process large datasets, using Python, SQL, and big-data tools like Spark and Airflow.
Data Engineer
Design and build scalable data pipelines on Snowflake using SnowPipe and dbt, then clean and integrate data to support analytics and AI/ML workloads.
Data Engineer
Build and maintain data pipelines, warehouses, and analytics apps using Python, Spark, and open-source big-data tools for a university’s data platform.
Fabric Data Engineer: AI-Ready Data Pipelines & Lakehouses
Designs and builds Microsoft Fabric data pipelines and lakehouses to prepare enterprise data for AI and analytics workloads.
Data Engineering Lead
Lead a team to design, build, and maintain data pipelines and systems that transform raw healthcare data into actionable insights for analysts and business teams using Python, SQL, Databricks, and Azure.
Data Engineer
Build and maintain scalable data pipelines and products in Azure Databricks, ensuring high-quality, reliable data for analytics and AI across a global HVAC manufacturer.
Data Engineer
Leads data engineering for a bank’s analytics team, ensuring clean, secure, and scalable data pipelines to support modeling and visualization.
Data Engineering Manager: Azure Databricks & AI Pipelines
Leads a team building and optimizing Azure Databricks and Microsoft Fabric pipelines to create analytics-ready data layers for BI and AI use cases.
Data Engineer
Builds and maintains scalable data pipelines, warehouses, and Power BI models to turn raw data into reliable analytics and dashboards.
Data Engineer
Design and build data pipelines to integrate and analyze energy data using SQL, cloud platforms, and ETL tools.
Data Engineer
Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Data Engineer
Build and maintain data pipelines and warehouses to feed analytics and reporting for a pawnshop operator, using SQL, Python, and AWS services.
Sr. Data Engineer
Design and build scalable Azure-based data pipelines and warehouses for external clients, using Synapse, Data Factory, and Fabric to enable analytics and ML.
Senior ETL Developer - Java, Cloud, Agile
Designs, builds, and maintains ETL pipelines and reporting modules in Java on cloud platforms using Agile practices.
Senior DevOps Engineer - Azure Data Platform Automation
Senior DevOps Engineer builds Azure-based automation workflows and infrastructure-as-code to run and scale Dormont’s Data and Analytics platforms in a hybrid environment.
Python/Django Developer & Data Engineer
Maintains Django apps and builds data pipelines for healthcare datasets using Python, Pandas, and PostgreSQL on Azure, while automating DevOps workflows with CI/CD.
Senior Data Engineer (Databricks & PySpark)
Build end-to-end data pipelines with Python, PySpark, and Databricks for enterprise clients, designing scalable cloud data architectures on AWS/Azure/GCP.