Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like Informatica or SnapLogic.
Designs and deploys Microsoft Fabric and AI solutions, building data platforms, analytics, and Copilot Studio agents to turn enterprise data into insights and automation.
Build and maintain Microsoft-centric data pipelines and lakehouse/warehouse architectures to support governed enterprise analytics and operational reporting.
Builds and maintains scalable data pipelines and warehouse infrastructure in AWS/Azure to power reporting and analytics for a healthcare data collaboration platform using Python, SQL, dbt, and Airflow.
Build and maintain scalable data pipelines and cloud-based analytics platforms using Azure, PySpark, and Power BI to power MetLife’s global insurance and financial services.
Designs and maintains scalable data pipelines and warehouses using SQL, Python, and cloud platforms (AWS/Azure/GCP) to support business analytics and data-driven decisions.
Lead the architecture and development of scalable, cloud-native data platforms using Python and AWS services, designing robust ETL/ELT pipelines and mentoring engineering teams.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
Own and maintain the CRM, integration, and data-quality systems that power Ashby’s go-to-market engine, troubleshooting issues and translating business needs into scalable configurations for Sales, Marketing, and Customer Success.
Build automation, data pipelines, and monitoring for a centralized platform managing global network partner relationships and service data.
Designs secure, scalable AWS-based data platforms and AI solutions for APAC clients, ensuring compliance and measurable business outcomes.
Job Expectations Position Type: Experienced – IC Employment Type: Full-Time; Permanent (Direct Hire) Work Setup & Location: WFH – Metro Manila Work Schedule: Mondays – Fridays; Night Shift (Can be mid shift after 3…
Senior Data Engineer Work setup: We operate in a hybrid work environment, and we encourage applicants who are open to working in the office two days a week to apply. Work schedule: Monday to Friday, 3PM to 11PM Manila…
Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.
Designs and maintains data pipelines, warehouses, and analytics infrastructure using SQL, Python, and AWS services to support reporting and modeling for clients.
Designs and leads enterprise-scale data platforms on Google Cloud Platform, defining standards for data warehouses, lakes, and governance while enabling analytics and compliance.
Builds and maintains Microsoft BI solutions using Azure Synapse, Power BI, and SSAS for clients, focusing on ETL, data modeling, and visualization.
Design and maintain Power BI dashboards and SQL-based reports to deliver business insights for Woolworths Financial Services, extracting and transforming data from databases and warehouses.
Build and maintain ETL/ELT pipelines and data models on AWS to power network operations, migrating legacy systems to cloud-native platforms while ensuring data quality and reliability.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
){kind=logo}