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.
Build and maintain scalable data ingestion pipelines and a unified data platform using Databricks, Microsoft Fabric, Kafka, and Terraform to securely move and transform enterprise data for Bunker Holding Group.
Builds and maintains IT/OT data pipelines to turn manufacturing data into insights that improve production lines in pharmaceutical facilities.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Build and own a global IoT data platform on Azure, designing ETL pipelines and metrics delivery for Turf Tank’s climate-tech solutions.
Design and build Azure-based data pipelines for renewable energy asset analytics, ensuring data quality and reliability for global operations and reporting systems.
Build and maintain cloud-based data pipelines and AI-driven analytics using Azure Databricks, PySpark, SQL, and Power BI to deliver business insights.
Senior Data Engineer builds cloud-based data platforms on Azure, designs pipelines with Kafka and Azure Synapse, and develops web apps using Angular, Python, and FastAPI for energy-sector projects.
Design and enhance event-driven, scalable data platforms using Kafka and Flink for a global energy-management company in Kolding.
Designs and builds data pipelines and models to integrate engineering data, enabling AI-ready digital workflows for modern engineering at Saab.
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Lead a team to build and scale a Microsoft Fabric-based data platform, designing pipelines, models, and integrations to support DCC Energi’s green-energy transition and business insights.
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Build and own data pipelines that integrate industrial OT systems (PLCs, HMIs, Kepware) into Lundbeck’s Aspentech Inmation platform to drive manufacturing intelligence and production optimization.
Build and implement data solutions that optimize pharmaceutical production by integrating IT/OT systems like PLCs, HMIs, and industrial networks into Lundbeck’s Aspentech Inmation platform.
Build and maintain Azure-based data pipelines for renewable energy assets, enabling analytics and reporting for wind and solar projects.
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.
Build and maintain data pipelines and integrations for engineering systems, ensuring data quality and traceability to support AI-enabled engineering and digital workflows.
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 a full-stack AI platform for Float’s Agentic Home Platform, shipping features for energy insights, billing, and automated workflows in a fast-moving startup.
We couldn't check your fit for this role — add a CV to your profile to see it next time.