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.
Hands-on AI Architect leading solution architecture for client generative and agentic AI builds at a consulting firm in Singapore, designing reference architectures, setting security/governance standards, and owning model/vendor strategy across regulated sectors.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Senior Applications Developer (Data Architect) in the City of Pasadena's IT Operations department, responsible for data architecture and application development for municipal government systems.
5V Video is seeking a Client-Facing Senior Data Engineer to join their team in the UK. This role involves designing AWS-based data lakehouse architectures while working directly with enterprise customers, providing…
Builds and evolves Observe’s data lakehouse abstractions so customers can unify logs, metrics, and traces into queryable, correlated tables at petabyte scale using Go and SQL.
Designs and optimizes data pipelines and analytical solutions using Microsoft Fabric, Azure SQL, and OneLake to transform complex datasets into actionable engineering insights, focusing on developer productivity and performance metrics.
Leads regional data platform design and engineering for Southeast Asia, specializing in Microsoft Fabric and Power BI to build scalable data pipelines, semantic models, and enterprise reporting solutions for cross-functional stakeholders.
Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.
Build and maintain scalable AWS data pipelines and analytics platforms using SQL, Python, and Spark to enable business insights and reporting.
Manages and extends the DataHub metadata platform to ensure data discoverability, lineage, ownership, and compliance across lakehouse ecosystems, integrating with tools like Databricks, Snowflake, and BI systems.
Designs, builds, and maintains scalable data pipelines, lakehouse architectures, and transformations using Apache Spark, PySpark, and cloud data services to enable enterprise analytics.
Design and build Microsoft Fabric and Power BI solutions for AI-ready analytics, Copilot integration, and governed data pipelines.
Designs and maintains scalable data pipelines and platforms for Mastercard’s Open Finance products, collaborating with teams to ensure high-quality, secure, and AI-ready data solutions for analytics, reporting, and operational use cases.
Designs and maintains scalable data pipelines and platforms on AWS, using SQL, Python, and Databricks to support analytics, reporting, and ML workflows for clients.
Designs and maintains Azure infrastructure and data platforms for analytics, AI/ML, and production workloads, focusing on cloud-native security, networking, and scalable data pipelines.
Designs and maintains Azure infrastructure and data platforms for analytics, AI, and mission-critical workloads, focusing on cloud-native security, scalability, and performance.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Lead a team to build end-to-end analytics solutions using Microsoft Fabric and Power BI, from data ingestion to user-facing reports and governance.
Designs and implements automated data quality frameworks for enterprise lakehouse platforms, ensuring data meets quality standards through validation, monitoring, and incident management.
We couldn't check your fit for this role — add a CV to your profile to see it next time.