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 own scalable data pipelines and AI-driven web scraping systems for Roamler’s outlet-data products, integrating LLMs and agent frameworks on AWS/Azure.
Engineers Splunk data pipelines and edge processors to ingest, filter, and tag DoD telemetry for Zero Trust analytics and compliance reporting.
Designs and builds Google Cloud data pipelines and models using dbt, Python, SQL, and BigQuery to transform raw data into clean, documented datasets for business stakeholders.
Build and maintain Python-based backend services and data pipelines that power AI-driven features and analytics for a global travel gift-card platform.
Build and maintain Azure-based data pipelines and ETL workflows using SQL, Python, and Azure Data Factory to support analytics and reporting for banking/finance clients.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory to process large datasets for analytics and AI initiatives.
Build and scale a new Azure-based data platform using Synapse, PySpark, and Git, while maintaining pipelines and monitoring for a finance-focused company.
Mentor and lead a team migrating SQL Server and data pipelines to GCP, coaching on cloud best practices and scalable architectures.
Design and build SQL Server-based data pipelines and enterprise data warehouse for a European bank, modernizing legacy systems with Python, Airflow, and Azure while ensuring regulatory compliance.
Build and maintain data pipelines for EV charging networks, ensuring reliable data for smart charging and energy optimization using AWS, Databricks, and Python.
Principal Data Engineer designs and builds scalable Databricks-based data platforms, owning architecture from ingestion to consumption while guiding teams on Delta Lake, Unity Catalog, and governance.
Build and maintain scalable ETL pipelines and cloud data infrastructure to ensure reliable, high-quality data flows for analytics and decision-making.
Design and maintain cloud-based data pipelines and the enterprise Master Data Repository in Azure, enabling reliable data flows and analytics for a high-tech electronics manufacturer.
Designs and builds scalable data pipelines on Databricks and Azure Data Factory, ensuring high-quality data ingestion and governance for a leading data-solutions company.
Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build and improve a data foundation for a large retail client, implementing data products, pipelines, and governance to enable a data mesh architecture using GCP, SQL, Python, and dbt.
Design, build, and optimize modern data platforms on Microsoft Azure for leading Dutch organizations, focusing on data ingestion, transformation, modeling, and visualization.
Build and maintain scalable data pipelines in Java, ensuring high-quality, analytics-ready data for cross-functional teams using Hadoop/Spark and cloud platforms.
Build and maintain a cloud-hosted dashboard for water-quality monitoring and algae-control systems, using Python backends, REST APIs, relational databases, and AWS infrastructure.
Build and scale data platforms for heat-asset monitoring and optimization in Eneco’s push to become CO₂-neutral by 2035, using Python, Snowflake, PostgreSQL, and Kubernetes.
We couldn't check your fit for this role — add a CV to your profile to see it next time.