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 and maintains scalable AWS-based data pipelines for government intelligence programs, using ETL tools, Redshift, and Python to process large datasets securely.
Build and optimize scalable data pipelines and lakehouse infrastructure (Spark, Databricks, Snowflake) for a SaaS data-management platform, with early AI use-case enablement.
Designs and maintains scalable data pipelines and infrastructure using Python, SQL, Spark, and cloud platforms to enable analytics and AI workloads.
Design and build scalable data pipelines, ETL/ELT workflows, and cloud data architectures for clients, ensuring data quality and security while enabling real-time analytics and digital transformation.
Build and maintain scalable data pipelines in BigQuery and dbt, transforming raw retail-media data into clean, reusable layers for analytics and AI teams across Europe.
Senior Data Engineer to build and optimize Databricks-based data pipelines, migrate data workloads, and ensure quality for a client’s data architecture.
Design and deploy high-performance data pipelines on Databricks in Azure or AWS, focusing on ETL/ELT optimization and data modeling.
Build and optimize ETL/ELT data pipelines for Ubisoft’s gaming platforms using SQL and Python, ensuring data quality and production deployments.
Designs and maintains enterprise ELT pipelines and data models using Snowflake, dbt, and Airflow to power analytics, reporting, and AI across the organization.
Build and maintain ETL/ELT pipelines and data architectures (Data Lake/Warehouse/Lakehouse) to support analytics and AI projects in a collaborative team setting.
Build and maintain scalable data pipelines on Databricks using Scala, SQL, and ETL/ELT tools to feed a modern lakehouse architecture.
Design and build scalable data pipelines on Databricks for ETL/ELT workloads, optimize performance, and monitor data flows.
Build and optimize large-scale data pipelines on Databricks, from ingestion to delivery, using Spark, cloud, and DevOps practices to support analytics and AI teams.
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Designs and maintains scalable ETL/ELT pipelines and cloud data infrastructure to support analytics and ML workflows in a French HR-tech environment.
Build and maintain scalable ETL/ELT pipelines on GCP and BigQuery using dbt; collaborate with analytics and marketing teams to industrialize data processes.
Build and maintain robust, observable data pipelines (ELT/ETL, batch and streaming) and ensure data quality and traceability for a data platform.
Designs and maintains data architectures, ETL/ELT pipelines, and integrates relational databases with a cloud-based data lake using SQL, Python/C#, and SQL Server/PostgreSQL/MySQL.
Build and maintain scalable data pipelines in Python and Airflow on Google Cloud Platform, focusing on ETL/ELT, data modeling, and reliability for a modern data stack.
Build and maintain scalable backend services and data pipelines in Python/TypeScript to unify engineering data for a developer-operations platform.
We couldn't check your fit for this role — add a CV to your profile to see it next time.