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.
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.
Provides L2/L3 support for enterprise data platforms built on Databricks and AWS/Azure, troubleshooting pipelines and cloud services to ensure reliability.
The Junior Data Engineer will assist in developing and maintaining ETL/ELT pipelines, writing complex SQL queries, and ensuring data quality. The role requires strong proficiency in Python and SQL, with a focus on collaborating with cross-functional teams to build robust data architectures.
The Fabric Data Engineer will design and manage enterprise data pipelines and platforms using Microsoft Fabric to support analytics, AI, RAG, and LLM workloads.
Build and deploy ETL/ELT pipelines to integrate data from multiple sources into centralized repositories using Python, SQL, and cloud data platforms.
Mid-level Data Engineer building complex databases and real-time data pipelines for actuarial analytics, guiding best practices within a corporate data & technology team in the Philippines.
Build and manage containerized environments using Docker and Kubernetes, ensuring secure and efficient deployments and seamless releases.
Builds and maintains full-stack PWAs and Node.js backend services for enterprise field teams, focusing on mobile-first development, offline capabilities, and RESTful APIs with MongoDB integration.
We couldn't check your fit for this role — add a CV to your profile to see it next time.