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
Lead Data Engineer (ETL & Data Migration)
Lead hands-on ETL and data-migration projects, designing pipelines, writing SQL/Python, and guiding clients through legacy-to-target migrations until go-live.
Azure Databricks Data Engineer
Build and optimize large-scale data pipelines using Scala, Python, PySpark, and Databricks on Azure, designing cloud-native data architectures for enterprise clients.
Senior Data Engineer (Airflow)
Build and maintain Airflow-based data pipelines and orchestrations for a large insurer, using Python, Snowflake, and AWS services.
Data Engineer (Azure) - Philippines
Design and maintain Azure-based data pipelines for a Microsoft Fabric-powered lakehouse, integrating utility and IoT data for analytics and reporting.
AWS Data Engineer
Design and build AWS-based data platforms, including data lakes, warehouses, and pipelines, while providing architectural oversight and ensuring security and cost optimization.
Data Engineer: Build Scalable Pipelines & Data Lakes
Design and implement scalable data pipelines and data lakes using Python or Scala, ensuring optimized data delivery for analysis.
Senior Data Engineer - Data Architecture & Engineering
Senior Data Engineer designs and optimizes Azure Synapse data pipelines, builds star schemas, and tunes SQL pools for analytics workloads using Azure Data Factory and Databricks.
Junior & Mid Data Engineer
Build and maintain data pipelines, optimize warehouse performance, and automate data flows to turn raw data into actionable insights for business needs.
IC4 - Sr Data Engineer
Senior Data Engineer designs and optimizes scalable data pipelines, warehouses, and real-time streaming systems using GCP/AWS, Python, Java, and SQL to enable analytics and AI-driven solutions.
Data Engineer (Databricks, AWS)
Build and maintain scalable data pipelines using Databricks, Python, and SQL to move and transform large datasets across cloud platforms like AWS and Azure.
Chief Tech & Data Engineering Leader
Leads software engineering, data analytics, and enterprise architecture teams to build secure, scalable systems and AI-driven solutions for internal and client-facing operations.
Data Engineer (Azure Databricks)
Build and maintain scalable data pipelines on Azure Databricks using PySpark and SQL, enforce governance with Microsoft Purview, and integrate analytics via Microsoft Fabric.
Data Engineer Team Lead
Leads a team that builds and maintains scalable data pipelines and warehouses (Snowflake, Redshift) to feed analytics and reporting for a Philippine bank.
Data Engineer - Japanese Bilingual
Builds and maintains big-data platforms and APIs, leveraging analytics libraries, NLP, and statistical computing to support hybrid-cloud and AI projects for enterprise clients.
Senior Data Engineer / Analyst
Build and maintain data pipelines, reports, and dashboards to support lending, marketing, and operations at a fintech focused on financial inclusion.
Data Engineer - Qlik Replicate
Designs and implements real-time data replication pipelines using Qlik Replicate, CDC, and hybrid cloud architectures to keep analytics platforms synchronized.
Lead Azure Data Engineer
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
PySpark Data Engineer — ETL & Cloud Big Data Pipelines
Designs and maintains cloud-based PySpark pipelines that transform and load large datasets using Python and SQL, ensuring reliability and performance.