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.
Designs, builds, and maintains data pipelines and ETL flows for life-sciences clients using Python and databases, while collaborating with cross-functional teams to deliver data-driven solutions.
Build and own Turf Tank’s IoT data platform from scratch, designing scalable pipelines to process telemetry from thousands of autonomous robots and deliver actionable metrics to operations.
Design and build scalable data pipelines and AI-driven solutions using Python, SQL, and cloud platforms like Azure and AWS.
Design and maintain scalable data pipelines to support AI applications, collaborating with cross-functional teams on cutting-edge solutions.
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
Design and build modern data pipelines and cloud-native analytics solutions for enterprise clients using Python, SQL, Snowflake, Databricks, and cloud platforms like Azure or AWS.
Build and maintain cloud-native data pipelines and platforms for clients using Python, SQL, Snowflake, Databricks, and CI/CD, while collaborating with cross-functional teams to deliver analytics solutions.
Build and maintain scalable data pipelines on Databricks using Python, PySpark, and SQL to support business decisions and governance.
Design and build enterprise-scale data solutions on Azure for a global MedTech company, focusing on data warehousing, integrations, and cloud pipelines to support data-driven healthcare decisions.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions and data governance.
Designs and maintains enterprise data pipelines and products using Microsoft Fabric, Azure Synapse, Python, and SQL to power reporting, analytics, automation, and AI initiatives.
Build data pipelines and integrations for engineering tools, improve data quality, and prepare engineering data for AI and analytics in a defense-focused tech company.
Build and maintain data pipelines and integrations for engineering systems, ensuring data quality and traceability to support AI-enabled engineering and digital workflows.
Senior Data Engineer builds cloud data pipelines and BI integrations for digital marketing at a Copenhagen-based adtech company, using Spark, Python, and SQL.
Senior Data Engineer builds and optimizes Databricks-based ETL pipelines and dimensional models to power analytics and decision-making across Copenhagen Airports.
Build and maintain data pipelines and reporting systems on Microsoft Azure to support renewable energy asset operations and performance analytics for global wind farms.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions.
Build and maintain scalable data pipelines on Databricks and the Lakehouse platform to support reliable business analytics and decision-making.
Build and maintain data platforms and AI pipelines for clients, collaborating with cross-functional teams to deploy AI solutions in production.
Build and own a corporate training platform that feels like streaming, using AI to enhance both product and workflow; stack includes Vue, Laravel, MySQL, and Hetzner.
We couldn't check your fit for this role — add a CV to your profile to see it next time.