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
AI-Driven Cost Engineering Data Engineer
Design and deploy AI systems for cost estimation and optimization using LLMs and MLOps on cloud platforms like Azure and AWS.
Data Engineer - Microsoft Fabric Lakehouse & AI/Power BI
Designs and builds Microsoft Fabric Lakehouse layers (Bronze, Silver, Gold) and pipelines to integrate Dataverse data, enabling Power BI reporting and AI initiatives with a focus on data quality and governance.
Senior Data Engineer/Analyst
Senior role designing BI dashboards, automating workflows with RPA, and building ML models to drive business decisions using Qlik, Python, and data pipelines.
Senior Clinical Data Engineer: Cloud Pipelines & Enablement
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
HR Data Engineer & Visualization Manager
Build and visualize data models to turn HR and business data into actionable insights using Python, R, SQL, and ML techniques.
Senior Data Engineer: Cloud Data Architect & Analytics
Designs, builds, and deploys cloud data solutions and pipelines for a staffing firm’s clients, ensuring scalable analytics and best-practice compliance.
Data Engineering Lead - AI-Driven Data Infra (Azure/Databricks)
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
Senior Data Engineer
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Speech & Language AI Data Engineer Intern
Build and maintain speech-data pipelines that feed production ASR models, including audio processing, text normalization, and quality validation.
GCP Data Engineer
Build and maintain GCP-based data pipelines and warehouses using BigQuery, Composer, Python, and SQL to integrate and transform diverse data sources.
Data Engineer I
Build and scale enterprise data infrastructure using Azure, Databricks, and Python to power analytics and AI across the firm.
Senior Data Engineer
Senior Data Engineer builds and maintains GCP-based data pipelines, ETL workflows, and analytics models for MSP customers, using Python, SQL, and Airflow.
Data Engineer (Azure)
Build and maintain scalable data pipelines on Microsoft Azure, integrating sources and enabling analytics with Power BI for clients.
Senior Data Engineer - AWS & Snowflake Architect
Design and build cloud-native data pipelines and AI solutions using AWS and Snowflake, focusing on data modeling, governance, and performance tuning.
Data Management Senior Associate (Data Engineer)
Build and govern data pipelines, lakes, and products to ensure accurate, secure, and accessible data for analytics and operations in a large consumer-banking unit.
Data Engineer
Build and optimize Snowflake-based data pipelines and ETL processes, implement governance and AI features, and tune performance for cloud data workloads.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, transforming raw data into insights for decision-making using Python, SQL, and cloud platforms.