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
AI Data Engineer (GAA, Philippines: Cebu)
AI Data Engineer in Cebu building and maintaining scalable ETL/ELT pipelines, data models, and reporting solutions on Snowflake, Informatica Cloud, and Power BI while supporting AI-driven automation initiatives.
Staff Data Engineer - AI-Driven Pipelines & Automation
Design and optimize scalable ETL/ELT data pipelines for structured and unstructured data (sensor/image) and drive AI-focused automation and orchestration workflows in collaboration with data scientists and engineering teams.
Data Platform Engineer - Snowflake, AWS, Hybrid
Build and maintain scalable data pipelines and models using Snowflake, AWS, SQL, Python, and DBT in a hybrid setup, collaborating with cross-functional teams to ensure data quality and integrity.
AI Data Engineer — Cloud Data & Automation
Data/Analytics Engineer at Teradyne (Philippines) building and operating scalable ETL/ELT pipelines, data models, and governance frameworks, primarily using Snowflake, Informatica Cloud, and Power BI to deliver AI-enabled analytics.
Data Engineer: End-to-End ETL on Azure & Databricks
Data Engineer building and optimizing scalable ETL pipelines on Azure and Databricks using Python/PySpark and SQL for an enterprise data platform initiative.
Hybrid Data Engineer: C#/.NET, Angular & SQL
Data Engineer designing and maintaining data pipelines, backend services, and frontend interfaces using C#/.NET, Angular, and SQL for an outsourcing company in the Philippines.
Senior Data Engineer: Databricks Lakehouse & AI Pipelines
Senior Data Engineer building scalable data pipelines and platform components on the Databricks Lakehouse using SQL, Python, and PySpark, with IaC and CI/CD practices for analytics and AI use cases.
Data Platform Engineer: AI-Ready Data Lakes & Pipelines
Data Platform Engineer designing and building cloud-based data lakes and pipelines to power analytics, AI, and digital transformation, with focus on data quality, governance, and system integration.
Snowflake Data Platform Engineer | Infra-as-Code
Configure, deploy, and optimize Snowflake infrastructure using Terraform as infrastructure-as-code, implementing security controls, monitoring performance, and managing releases, query optimization, and backup/DR strategies in collaboration with data engineers.
Data Engineer: Python, ETL & SQL for Scalable Pipelines
Data Engineer designing and building scalable data pipelines and infrastructure using Python, ETL, SQL, and cloud resources, collaborating with cross-functional teams and creating ad hoc reports.
Senior / Staff data Engineer (Agentic AI) 2 months ago
Senior/Staff Data Engineer designing scalable ETL/ELT pipelines for structured and unstructured data (sensor, image) and operationalizing agentic AI workflows, using Python, SQL, and AI orchestration frameworks at a semiconductor company.
Data Engineering Lead — ETL, Observability & CI/CD
Hands-on data engineering leader driving data enhancements across SQL Server/SSIS/SSRS, DBT, Python, and Fivetran, focused on architecture, code quality, CI/CD, observability, and coaching engineers at a Manila-based company.
Azure Data Engineer - Lead Consultant
The Lead Data Engineer will guide a team in designing and implementing scalable data solutions on the Azure cloud platform. The role involves mentoring developers, overseeing architecture, and ensuring high-quality data pipelines using Python, SQL, and Pyspark.
Data Engineer: Build Scalable Pipelines & Insights
The Data Engineer will design and maintain scalable data pipelines and ETL processes to support data-driven decision-making. The role involves working with Google Cloud technologies like BigQuery, Airflow, and dbt within an international gaming company.
Data Engineer - SME
The Data Engineer SME leads data engineering initiatives, manages the migration to Azure Databricks, and provides technical guidance to the team. The role involves collaborating with stakeholders to design data solutions and ensuring the platform aligns with governance and business requirements.
Data Engineer II
The Data Engineer II will design and maintain scalable data pipelines, warehouses, and lakes to support analytics, AI, and automation initiatives. The role requires proficiency in SQL, Python, and cloud platforms to build reliable, governed data foundations.
Data Engineer - Databricks & Informatica (IDMC)
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
Data Platform Engineer: Pipelines, Quality & Integration
The Data Platform Engineer will design and implement data pipelines, transformation jobs, and storage structures to ensure high data quality and availability for analytics teams.
Data Engineer: Scalable Pipelines & Data Warehousing
The Data Engineer at Gamigo Philippines Inc. will design, implement, and optimize scalable ETL pipelines and data infrastructure to support organizational decision-making. The role involves maintaining data models and ensuring high data quality through rigorous validation and monitoring.
Data Engineer
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data infrastructure to support analytics and machine learning initiatives. The role involves collaborating with cross-functional teams to ensure data quality, performance, and security across cloud-based data systems.