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 data engineering team to build and scale secure, high-integrity pipelines and warehouses using Python, Airflow, Databricks, and AWS, while enforcing governance and quality standards.
Build and maintain scalable data pipelines for a high-traffic digital media group, using Python, SQL, Airflow, dbt, Spark, and cloud platforms like GCP.
Lead a team of data engineers to build and maintain Zoopla’s scalable data platform using Python, SQL, AWS, Redshift, Databricks, and Airflow.
Build and maintain scalable data pipelines using Python, SQL, and GCP services like BigQuery and Dataflow to power analytics for a leading fashion brand.
Lead a small team of Data Engineers to build and maintain AI-driven customer interaction platforms using cloud, Snowflake, Python, Airflow, and Docker.
Build and optimize data pipelines with Airflow and SQL to power marketing and customer insights for major brands using modern data tools.
Lead a data engineering team to build and scale a modern cloud-based data platform for analytics and AI in a fast-growing fintech.
Designs and maintains scalable data pipelines for a digital content platform using Databricks, Snowflake, Airflow, dbt, and Python on AWS.
Build and own large-scale distributed data pipelines using Airflow/Dagster, Spark, dbt, Kafka, and AWS to power global retail analytics and decision-making.
Lead a team to design and build scalable data pipelines and AI-ready infrastructure for an AI startup, focusing on real-time processing, vector search, and ML data workflows.
Lead a cloud data platform team, designing scalable pipelines and warehouses in AWS, setting engineering standards, and mentoring engineers to deliver high-performance data solutions.
Build and maintain scalable data pipelines using Python, Airflow, dbt, Snowflake, and Databricks to power Moody’s AI-driven content platform.
Designs and scales AI-driven data pipelines using Databricks, Snowflake, Airflow, dbt and Python on AWS to power a digital content platform.
Build and maintain scalable data pipelines using Apache Airflow, dbt, and Python on AWS to power an AI-driven digital content platform.
Build and maintain scalable data pipelines using Airflow, dbt, Python, Snowflake, and Databricks to power Moody’s AI-driven content platform.
Senior role designing scalable data pipelines and backend services, ensuring reliability and performance for a fintech platform using modern data tools like dbt, Spark, and Snowflake.
Lead a team to build and scale a modern data platform using AWS, Snowflake, Spark, Airflow, dbt, Python, and SQL for real-time mobility and fintech analytics.
Lead a team to design and build scalable Azure-based data pipelines in Python and SQL, set engineering standards, and mentor engineers while owning the data platform’s technical direction.
Build secure, scalable data pipelines and AI-ready platforms for Defence customers using Python, Kafka, Spark, and Kubernetes in air-gapped environments.
Build and maintain scalable data pipelines and platforms using Python, SQL, and Databricks to consolidate enterprise data for analytics and reporting.
We couldn't check your fit for this role — add a CV to your profile to see it next time.