Tech jobs
Job listings
Microsoft Fabric Data Engineer - Onsite 3x/wk Taguig
Designs and builds data pipelines in Microsoft Fabric, optimizing storage and transformations for analytics-ready datasets using OneLake, Lakehouse, and Data Factory.
AI Engineer | Hybrid - Centris/Makati
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Senior Data Scientist: AI Agents & Predictive Models Remote
Senior Data Scientist builds predictive models and LLM agents for automotive retail, using AWS lakehouse and Databricks to productionize multi-step AI agents with tool access and robust deployment practices.
Senior Data Platform Engineer (AI & Lakehouse)
Design and implement scalable data platforms (lakehouses, data lakes) and AI foundations for enterprise customers, focusing on governance, quality, and modernization.
Senior Data Engineer – Databricks & PySpark for Finance
Design and optimize scalable ETL pipelines using PySpark and Databricks for a global financial institution’s data infrastructure.
Fabric Data Engineer: Lakehouse, Power BI & Dataverse
Builds a Microsoft Fabric-based data lakehouse, designs data layers, and integrates Dataverse and enterprise systems while enabling Power BI reporting and AI/ML pipelines.
Senior Data Engineer - Build a Lakehouse Platform (Remote)
Senior Data Engineer builds a cloud-based Lakehouse platform on AWS and GCP, owning data ingestion, dbt transformations, and Airflow orchestration for payment, marketing, and operational analytics.
Senior Data Engineer (Kafka / Hybrid 2x a week onsite)
Build and maintain scalable data pipelines and real-time processing using Kafka, Databricks, Spark, and Airflow to power gaming, sportsbook, payments, and marketing systems.
Data Engineer: Azure Databricks, Purview & Fabric Expert
Builds and maintains data pipelines in Azure Databricks using PySpark and SQL, ensuring governance and quality across a lakehouse environment.
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.