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.
Globe Telecom is hiring a data engineer to develop and maintain AI-augmented finance applications and automation tools. The role focuses on building production-scale ETL pipelines, managing IFRS 9 ECL validation, and ensuring robust data governance using Python and SQL.
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and automation to ensure the reliability of data processing systems.
A Database Administrator/Data Engineer role focusing on maintaining stable MySQL/PostgreSQL environments, supporting Data Lake infrastructure, and optimizing ETL/ELT processes, with work on cloud and on-prem data platforms.
Configure and customize ServiceNow Performance Analytics and reporting modules, design dashboards, define KPIs, and provide data-driven insights to stakeholders.
A ServiceNow Analytics Engineer responsible for configuring Performance Analytics modules, designing dashboards and reports, and maintaining KPIs to support business decision-making.
Data Engineering Consultant at a technology consultancy building data pipelines, transforming and securing data from diverse sources to enable data science work, while mentoring juniors and collaborating with clients.
Data Engineer designing ETL/ELT pipelines and administering data stores using Azure Data Factory, Databricks, Oracle, and SQL Server to support enterprise reporting and analytics.
Collibra Platform Developer configuring and optimizing a data governance platform, integrating Collibra with data warehouses, ingestion pipelines, and BI tools, and automating governance processes.
Build and maintain scalable data pipelines and analytics infrastructure to ensure accurate, trustworthy business insights across markets.
Develops and maintains ETL pipelines, data warehousing solutions, and migrations while collaborating with stakeholders to support analytics goals, primarily using SAP BODS and SQL-based databases.
Senior Analytics Engineer responsible for owning and scaling analytics infrastructure, designing a scalable data warehouse, building data pipelines, and developing reporting solutions that convert complex data into actionable business insights.
The Senior Software Engineer & Tech Lead will guide the development of AI-powered products at Procter & Gamble, mentoring engineering teams and building scalable web applications using Python and React. The role involves designing data-driven solutions, managing data lake integrations, and optimizing system performance.
The Data Science Manager will lead the development and deployment of predictive models and ML pipelines to drive business impact. They will collaborate with cross-functional teams to integrate analytics into operational systems and support data-driven decision-making.
Senior Test Engineer driving test quality and yield improvements for semiconductor NPI, working on Final Test and Wafer Sort using LTX X-Series/DiamondX testers and Lean Six Sigma.
On-site Data Engineer/Tech Architect role in Taguig/Makati, Philippines (night shift) focused on setting up and maintaining ETL pipelines, data architecture for relational databases, SQL optimization, and business intelligence visualizations.
The Enterprise Data Platform Engineer will develop and optimize data integration and analytics pipelines to support BI and AI initiatives. The role involves collaborating with stakeholders to ensure scalable, well-governed data solutions and driving automation across the organization.
The Data Engineer will manage the Enterprise Data Platform and build end-to-end data workflows to support analytics and modeling. They will collaborate with data scientists and business stakeholders to ensure data reliability, governance, and accessibility.
The Data Engineer designs, builds, and maintains enterprise data pipelines and integration processes to support analytics, BI, and AI initiatives. The role utilizes technologies such as Microsoft Fabric, SQL, Python, and Spark to ensure reliable and scalable data platform services.
The Senior Data Engineer will design and build scalable data infrastructure and ETL/ELT pipelines within an Azure and Databricks Lakehouse environment. The role involves collaborating with cross-functional teams to support AI and analytics workloads while mentoring junior engineers.
The BI Data Engineer will design and deploy scalable, cloud-native full-stack applications and serverless backend services using AWS technologies. The role involves building secure APIs, managing cloud infrastructure, and collaborating with stakeholders to drive digital transformation.
We couldn't check your fit for this role — add a CV to your profile to see it next time.