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
HCHP Senior Data Engineer
Design, build, and optimize cloud-native data pipelines and analytics-ready datasets on Azure Databricks for enterprise clients in healthcare and other industries.
Senior Data Engineer: Azure Databricks + Lakehouse (Hybrid)
The Senior Data Engineer will design and optimize cloud-native data pipelines on Azure using Databricks and Spark. The role involves leading end-to-end data warehousing, modeling, and governance initiatives while mentoring teams in a hybrid work environment.
Databricks & Cloud Data Platform Engineer
The Data Engineer will support and maintain Databricks-based data platforms and cloud services in AWS/Azure environments. The role involves ensuring system reliability, performance, and scalable data processing through collaboration with platform and data teams.
Junior Data Engineer: Build Scalable Data Pipelines
The Junior Data Engineer will build, optimize, and maintain scalable data pipelines and infrastructure to support AI and analytics solutions. They will work closely with data scientists and senior engineers in a fast-paced startup environment.
Hybrid AI Data Engineer for Operational Excellence
Lead analytics, automation, and AI-enabled solutions to boost operational efficiency across Asia Pacific, building dashboards and data pipelines from concept to deployment.
Data Engineer (SQL & BigQuery Specialist) - WFH/Remote
A Data Engineer owning the transformation and modeling layers of a data warehouse, building scalable pipelines with Google BigQuery and Dataform using Kimball methodology to power business intelligence.
Mid Data Engineer (C#, .NET & Angular)
Mid-level Data Engineer building data pipelines, C#/.NET backend services, and Angular frontends in a hybrid role at an offshore outsourcing company in Quezon City.
Senior Data Engineer: Build Scalable Cloud Data Pipelines
Builds and optimizes scalable cloud data pipelines for enterprise clients, ensuring governance, security, and collaboration with distributed teams.
Data Engineer (SnowFlake)
Maintain and optimize Snowflake-based data platforms for clients, troubleshooting pipelines, transformations, and integrations while ensuring security, performance, and reliability in a managed-services environment.
BigQuery Data Engineer: Dataform & Kimball Expert
Designs and builds Google BigQuery data models with Dataform to power analytics and BI, writing optimized SQL and enforcing data quality.
SR. Data Platform Reliability Engineer/Data SRE (Permanent)- Onsite
Senior Data SRE operating and improving Kubernetes-based data platforms (on-prem/AWS/GCP) using GitOps, observability tools, and supporting data workloads like Spark, Airflow, and ETL pipelines.
Senior Data Platform Reliability Engineer (Kubernetes)
Senior engineer maintaining and improving Kubernetes-based data platforms across cloud and on-premise, using GitOps and DoEKS/AIoEKS to ensure reliability and observability.
Cloud Data Engineer
Design and build enterprise data platforms—ETL/ELT pipelines, data lakes, and lakehouses—using Python, SQL, and Azure cloud services (Azure Data Factory, Databricks, Microsoft Fabric, Snowflake) within NNIT's AI Center of Excellence.
Data Engineer: ML Forecasting & Azure Data Platform
Builds and maintains Azure-based ELT pipelines and ML forecasting models (XGBoost, Prophet, ARIMA) to analyze HRIS data and predict workforce trends at scale.
Data Platform Engineer (AU, Retail, Hybrid)
Build and maintain scalable data pipelines and models on a Snowflake/AWS platform for a retail client, writing SQL and Python code with DBT testing, working hybrid 2-3 days per week onsite in Mandaluyong.