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 a team to consolidate legacy data systems, ensuring reliability and translating business needs into technical solutions for a healthcare-focused company.
Lead a team to build and scale a modern data platform, migrating legacy systems to a robust, high-performance infrastructure while ensuring SLAs are met.
Builds and maintains an Azure-based data platform, ensuring data quality and lineage while collaborating with teams to deliver reports and solutions.
Build and maintain data warehousing layers in dbt, transform datasets, and create Looker dashboards to drive product and business decisions.
Build and scale a cloud-native data and AI platform for real-time industrial analytics and cyber-physical system security using AWS, Kubernetes, Terraform, and Kafka.
Lead hands-on technical role designing scalable Azure data platforms, setting standards, and mentoring engineers for a consultancy serving finance and logistics clients.
Lead a data engineering team to build and scale a robust data platform, consolidating legacy systems into a high-quality infrastructure for precision medicine initiatives.
Leads a team to build and scale a governed, enterprise data platform for a healthcare company, enabling AI/ML and consolidating legacy systems.
Build and maintain scalable data pipelines and AI/ML infrastructure, integrating diverse sources and deploying models using cloud-native tools like Azure.
Designs and maintains scalable data pipelines and MLOps workflows to feed AI models in a cloud environment.
Build and deploy scalable data/AI solutions on Azure, mentor junior engineers, and guide clients from design to production using GenAI, MLOps, and modern AI tools.
Build and maintain a real-time data platform that processes microservice events into reporting, analytics, and AI products for a regulated payments company.
Builds and maintains a scalable data platform using Microsoft Fabric and Azure Cloud to deliver reliable insights for RET in Rotterdam.
Build and optimize a national-scale data platform that turns raw government data into predictive insights and dashboards to improve social services and policy decisions.
Designs, builds, and optimizes data pipelines and ML models (decision trees, random forests, deep learning) using cloud platforms like AWS, Azure, or GCP.
Lead a team delivering enterprise-scale data and AI transformations, mentoring engineers and driving scalable solutions for customers.
Own and evolve the Snowflake/dbt data platform powering financial close and AI-ready analytics, building pipelines for billing, ARR, and revenue recognition.
Leads the design and architecture of scalable data pipelines using Microsoft Fabric, PySpark, SQL, and Python to enable AI applications and deliver business value across industries like healthcare, government, and finance.
Build and scale ML pipelines for predictive AI solutions like churn prediction and forecasting, and set up robust data/ML environments in a hybrid role.
Design and implement ETL pipelines and data warehouses for diverse clients, using tools like Qlik or Talend and databases such as Snowflake or PostgreSQL.
We couldn't check your fit for this role — add a CV to your profile to see it next time.