Tech jobs
Job listings
Data Engineer - Databricks, Spark & Lakehouse on AWS
Designs and builds ETL/ELT pipelines and lakehouse architecture using Databricks and Apache Spark to enable data-driven decisions.
Cloud Data Platform Lead | Data Engineering & Analytics
Lead the design and implementation of a scalable cloud data platform on Azure, building data lakehouse/warehouse solutions and ETL/ELT pipelines to support analytics and AI initiatives.
Data Engineer - AI Data Pipelines (Hybrid: Pasig/Remote)
Builds and maintains data pipelines for AI using Databricks, GCP, and Azure to feed model training, RAG search, and Power BI reporting.
Big Data Engineer
Design and build end-to-end big-data pipelines using Spark, Python/Scala, Airflow, and cloud platforms (AWS/Azure/GCP) to process and store data at scale.
Microsoft Fabric Data Engineer - Philippines
Design and build enterprise data pipelines using Microsoft Fabric, Synapse, and Azure Data Factory to power analytics and AI workloads for an edtech company.
Data Engineer( up to 200K php)
Builds and maintains ETL pipelines and data models using Airflow and dbt to transform raw data into clean, governed layers for analytics and reporting.
Azure Data Engineer: Fabric Lakehouse & Pipelines
Designs and maintains Azure-based data pipelines and lakehouse architectures, ensuring data quality and reliability for analytics using ETL processes.
Data Engineer (Banking/Cloud Data Platform)
Build and maintain cloud-based data pipelines and transformation models for banking clients using Airflow, dbt, and Spark.
Senior Azure Data Engineer — Medallion + Power BI
Designs and maintains Azure Fabric data pipelines using the Medallion pattern, transforming raw data into analytics-ready datasets for Power BI Embedded reports.
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.
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.
HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support enterprise reporting and analytics.
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.
Senior Data Engineer - 7430
Design and maintain scalable data pipelines and models, set engineering standards, and mentor teams using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Senior Data Engineer - 7430
Senior Data Engineer builds and maintains scalable data pipelines, integrations, and analytical services for a global academic publisher, using SQL, ETL/ELT, and cloud platforms like Azure or AWS.
Data Engineer Associate Manager
Build and maintain scalable data pipelines and analytics datasets using Azure Databricks, Microsoft Fabric, and Python, enabling reporting and AI use cases for enterprise clients.
Azure Cloud Data Engineer: Lakehouse Pipelines
Designs and optimizes Azure cloud data pipelines for a Microsoft Fabric-powered lakehouse, building ETL processes and ensuring data quality while collaborating with analysts and architects.
Azure Data Engineer: Lakehouse Pipelines & Analytics
Designs, builds, and optimizes Azure cloud data pipelines for a Microsoft Fabric-powered lakehouse, integrating SAP IS-U and IoT sources, and enabling analytics with Power BI.
Senior Data Engineer (Hybrid Setup)
Build and maintain scalable, real-time data pipelines on AWS and Databricks using Kafka, Spark, Flink, and Airflow, ensuring high-throughput data processing and quality.