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 deliver BI and data-science solutions using Power BI, Python, Azure, SQL Server, and SSIS/SSAS for internal teams and customers.
Designs and builds data pipelines and models to integrate engineering data, enabling AI-ready digital workflows for modern engineering at Saab.
Builds data pipelines and models to connect engineering systems and enable AI-driven analytics for modern engineering workflows.
Design and implement data protection controls using Microsoft Purview and insider risk solutions to safeguard sensitive data in a regulated financial environment.
Build and secure data pipelines, models, and integrations for a new defense-sector data platform in Copenhagen.
Builds and maintains data connectors and pipelines for brand, adtech, and marketing data using SQL, Python/Scala, and platforms like Databricks or Snowflake.
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
Build and maintain the AI-powered regulatory data pipeline that crawls, parses, and normalizes global compliance rules for physical products, ensuring every customer’s product launch is backed by provably current data.
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, focusing on ingestion, transformation, governance, and delivery with Unity Catalog.
Build and run modern data pipelines and platforms using open-source tools, focusing on processing, orchestration, and deployment with AI insights and CI/CD.
Build and maintain open-source data platforms and pipelines in a collaborative team using modern data and platform engineering tools.
Build and maintain high-scale data pipelines and edge services for WPP’s AdTech platform, handling tens of thousands of requests per second using Python/Go/Scala, Spark, and Kubernetes.
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Build and maintain data warehouses and PowerBI reports for debt-data systems, modeling large datasets and enabling data-driven governance.
Lead the migration to Databricks and design high-performance data pipelines using Python and PySpark to enable a data-driven culture.
Build and maintain scalable data pipelines and backend systems using Python, SQL, and BigQuery to onboard large-data customers in a fast-moving Danish startup.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
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.
Build and advise on Microsoft Fabric-based data platforms and AI integrations for public and private customers, driving architecture, governance, and customer maturity through workshops and delivery.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
