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.
Leads enterprise-wide IT modernization, migrating legacy systems to Azure and guiding cloud-native architecture to improve agility, security, and AI readiness.
Designs and owns cloud-native solutions on Azure, modernizing legacy apps and databases to improve agility, resilience, and AI-readiness while aligning with business goals.
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Lead the enterprise-wide Data Governance framework for a healthcare group, defining policies, ownership, and quality standards to ensure data is secure, reliable, and used strategically across the organization.
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
Lead a team of Data Engineers to modernize TheFork’s data platform using AWS, Snowflake, and Airflow, implementing Lakehouse and Data Mesh principles to power analytics and business insights.
Build and maintain Microsoft Fabric data platforms for clients, designing semantic models, pipelines, and visualizations in Power BI to deliver end-to-end analytics solutions.
Build and maintain scalable AWS-based data pipelines and analytics platforms using Python, PySpark, and medallion architecture to power Taylor & Francis’s media and publishing products.
Data Engineering is a small, high-leverage platform team serving every Sunday entity (insurance, broker, care, technology) across two countries. We run one lakehouse and a set of frameworks — not a pile of one-off…
Build and migrate data pipelines using PySpark and Databricks, designing Lakehouse architectures and optimizing SQL/Spark workloads for a data platform transition.
Senior Data Engineer to migrate and modernize a data platform from BigQuery to Databricks, building PySpark pipelines and lakehouse architecture with Delta Lake and Unity Catalog.
Design and implement enterprise-scale Databricks Lakehouse architectures, lead client engagements, and optimize Spark-based pipelines for secure, high-performance AI and data workloads.
Build and run AI-powered, cloud-native infrastructure for game development, focusing on AIOps, observability, and secure event-driven automation using AWS CDK and DevSecOps practices.
Lead AI/ML strategy and research for next-gen networking, focusing on GenAI, Graph ML, and cloud-scale systems to shape product vision and technical roadmap.
Build and maintain scalable Azure and Microsoft Fabric data pipelines and lakehouse/warehouse solutions to power generative AI, RAG, and intelligent agents for enterprise analytics.
Senior Data Engineer builds and optimizes cloud data pipelines (PySpark, Delta Lake, Azure Synapse) to modernize legacy financial analytics infrastructure and improve reporting reliability.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW, focusing on data pipelines, ETL workflows, and Power BI reporting.
Build and maintain scalable data pipelines and ETL/ELT processes in Azure/AWS/GCP to power a new lakehouse platform for a large training group undergoing tech transformation.
Senior Data Engineer builds and maintains a Trino/Starburst-based query federation layer and Dell Data Lakehouse, integrating diverse data sources for AI teams.
Lead the design and build of a modern, scalable data architecture (Data Lakehouse) for a large Spanish edtech group, integrating post-merger systems and enabling advanced analytics and generative AI initiatives.
We couldn't check your fit for this role — add a CV to your profile to see it next time.