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.
Lead a small Azure data engineering team, designing and building modern data solutions with Azure Synapse, Microsoft Fabric, and SQL while mentoring engineers.
Oversee an Agentic AI programme for a major organisation, managing stakeholders, vendors, and delivery tools like Azure DevOps or Jira to ensure project success.
Build and maintain internal AI-driven tools, automations, and integrations in Python to improve business efficiency and user experience.
Build and maintain clean, scalable data models in Snowflake and Looker to power analytics and reporting for a global ecommerce company.
Build and optimize data pipelines using Databricks, SQL, and Python to support analytics and cloud-based data warehousing on Azure.
Build and scale a TypeScript/Node.js backend with GraphQL APIs and a Next.js/React frontend, integrating Python LLM services for an AI-powered insurance and preventative healthcare platform.
Designs and optimizes Azure-based data pipelines using Databricks and ETL to improve data access and deliver business insights in a hybrid Amsterdam role.
Design and optimize Azure-based data pipelines and analytics using Databricks to deliver business insights and improve operational efficiency.
Designs and builds scalable data pipelines using SQL, Python, and ETL tools to support business analytics and reporting.
Build and maintain full-stack JavaScript applications remotely, solving technical challenges with modern web frameworks and collaborating in a distributed team.
Designs and optimizes AWS-based data pipelines, ETL workflows, and scalable data warehouses in a hybrid setup.
Build and maintain AWS-based data pipelines using Python, PySpark, and SQL to integrate, transform, and deliver clean, scalable data for business insights.
Build and optimize AWS-based data pipelines and warehouses using ETL, cloud architecture, and database systems to support analytics and decision-making.
Build and maintain Python-based APIs and microservices using Django or Flask to enhance software solutions and improve operational efficiency.
Designs, implements, and maintains AWS-based infrastructure using Terraform/CloudFormation, ensuring reliability, security, and cost efficiency for hybrid work environments.
Leads the design and optimization of big-data pipelines and warehouses using Python, Spark, and cloud platforms to enable analytics-driven decisions.
Design and build scalable Azure data pipelines, manage data lakes, and optimize models for analytics and BI using Azure Data Services and Power BI.
Build and maintain Azure-based data pipelines, lakes, and warehouses, and deliver Power BI reports to support scalable analytics and business intelligence.
Leads a team of ~30 engineers to set data and software engineering strategy, enforce standards, and deliver scalable solutions for a regulated client, using Microsoft stack and Azure/Databricks.
Build and deploy scalable cloud solutions using AWS and Python, collaborating with DevOps, architects, and product managers to create resilient infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.