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
Data Engineer
Build and optimize ETL pipelines, migrate big-data jobs, and integrate data from sources to targets using Spark, SQL, and visualization tools like PowerBI/Tableau.
Data Engineer
Designs resilient, scalable data pipelines and products using Azure, SQL, Spark, and CI/CD to transform and deliver data for analytics and architecture.
Data Engineer
Build and scale data pipelines on Databricks and AWS, designing robust ETL/ELT workflows with Apache Spark to power analytics and decision-making.
Data Engineer
Designs and builds ETL pipelines in Informatica to feed ING’s data warehouse and reporting tools like Tableau and SAS, ensuring data quality and supporting analytics for banking decisions.
Data Engineer
Builds and maintains data pipelines and real-time apps on AWS using Spark, Presto, and EMR; designs data platforms and integrates BI tools like Tableau and PowerBI.
Data Engineering Specialist
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Data Engineer
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
XTN-C475548 | AI + DATA ENGINEER
Build and deploy AI models (LLMs, ML) for healthcare insights, recruiter automation, and personalized experiences using Python, PyTorch, LangChain, and vector databases.
Senior Data Architect - Azure Synapse & Data Engineering
Design and optimize Azure Synapse data pipelines and star schemas, tune performance, and build ingestion workflows using ADF and PolyBase for analytics workloads.
Data Engineer
Designs and maintains Azure-based ETL/ELT pipelines and cloud data solutions to deliver clean, reliable data for analytics and BI.
Senior Data Engineer (MOSAIC AI)
Build and deploy AI agents using Databricks Mosaic AI, LangChain/LangGraph, and RAG pipelines; integrate base models and implement MLOps best practices.
Data Engineer
Builds and maintains scalable data pipelines using Databricks, GCP/Azure to feed AI models, RAG search, and analytics, ensuring clean, reliable datasets for machine learning and reporting.
Data Engineer
Build and maintain scalable ETL/ELT pipelines and data platforms to turn enterprise data into trusted, analytics-ready datasets for BI and AI initiatives.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to collect, process, and analyze data for an iGaming company using Java/Scala, SQL/NoSQL, and Spark.
Data Engineering Lead
Lead the design and delivery of a scalable enterprise data platform, building ETL/ELT pipelines and enabling analytics and AI across cloud and hybrid environments.
Senior Data Engineer
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Snowflake Data Engineer — Data Platform & Pipelines
Owns Snowflake data warehouse, designs schemas, builds pipelines, and secures multi-tenant reporting for a fintech firm in Makati.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to feed analytics and reporting, using cloud technologies like AWS/Azure and scripting in Python/PySpark.