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2026-7929 Data Engineer-Mid (Night Shift)
Builds and maintains data pipelines and databases for insurance pricing models using SQL, Python, and dimensional modeling to support real-time analytics and business decisions.
Senior Data Engineer: Python, SQL & AWS (Hybrid - Makati)
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows using Python, SQL, PySpark, AWS, and Airflow in a hybrid Makati office.
Hybrid Data Engineer for AI Center of Excellence
Designs and builds enterprise data platforms to power AI and analytics, creating scalable pipelines and lakehouses for global teams.
Senior Data Engineer & Power BI Architect (Azure)
Designs and maintains Power BI data models and Azure pipelines, builds executive dashboards, and secures data access for reporting.
Data Engineering Manager: Build Scalable Pipelines
Lead a team to design and maintain automated data pipelines for a telecom company, ensuring data integration, storage, and governance across platforms.
Senior Data Engineer: Scalable Pipelines for AI/ML
Designs and maintains scalable data pipelines and infrastructure to support AI/ML model training and analytics, ensuring data quality and governance.
Senior Data Engineer (Python, SQL, ETL, AWS)
Designs and maintains scalable data pipelines using Python, PySpark, SQL, and AWS services like MWAA/Airflow for ETL/ELT workflows.
Senior Data Engineer – Azure & Power BI Specialist
Senior Data Engineer builds and optimizes Azure data pipelines and Power BI models to deliver executive dashboards and reports from large-scale datasets.
Sr. Specialist, Data Engineering
Designs and maintains scalable data pipelines and warehouses to feed analytics, BI, and AI/ML models using cloud platforms like AWS, Azure, or GCP.
Azure Data Engineer — Scalable ETL & Data Architecture
Designs and maintains scalable Azure-based ETL/ELT pipelines and data warehouses to support analytics and operations for a global insurance provider.
Lead Data Engineer for Analytics and Data Solutions
Lead a team to build and maintain data pipelines and infrastructure for analytics, visualization, and modeling at a Philippine bank.
Hybrid Data Engineer - Full-Stack & Pipelines (Python)
Builds and maintains scalable data pipelines and integrates systems using Python in a cloud environment.
Data Engineer / Cloud Data Engineer (AI Center of Excellence)
Design and build enterprise-scale data platforms (lakes, lakehouses, ETL/ELT pipelines) that feed AI and analytics workloads, using cloud-native tools like Microsoft Fabric, Databricks, and Snowflake.
Data Engineer (IBM Cognos)
Build and maintain analytics and reporting solutions using IBM Cognos and Power BI, extracting and transforming data to deliver insights that drive retail banking decisions.
Lead Data Engineer
Lead Data Engineer responsible for designing, building, and maintaining scalable healthcare data pipelines in AWS, handling PHI/PII securely, and integrating AI/ML for mapping and data quality while owning the full pipeline lifecycle from development to production.
Full Stack Data Engineer (Python) - Hybrid setup
Builds and maintains scalable data pipelines and integrations using Python, handling ETL/ELT workflows, database interactions, and API connections to unify disparate data sources for business use.
Senior Data Engineer | Hybrid, Azure & Pipelines
Designs and maintains scalable ETL/ELT pipelines and cloud data architecture on Azure, ensuring data quality and compliance while collaborating with engineers and architects.
Data Engineer: Python & SQL for Scalable Pipelines
Designs and maintains scalable data pipelines and storage systems using Python and SQL, ensuring data quality through ETL and automated checks.
Microsoft Fabric Data Engineer
Build and scale an enterprise data lakehouse using Microsoft Fabric, designing data layers, pipelines, and models to power Power BI, AI/ML, and Copilot initiatives.
Data Engineer Manager
Leads a team that designs, builds, and maintains automated data pipelines in a cloud-native environment, ensuring clean, governed data for analytics and downstream systems using tools like Spark, Airflow, Snowflake, and Databricks.