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.
Builds and optimizes Snowflake/AWS data pipelines, automates ETL/ELT workflows, and ensures data quality/governance while deploying cloud infrastructure with Terraform and CI/CD tools like GitLab/GitHub Actions.
Designs and automates GCP-based data pipelines using BigQuery, Terraform and Airflow to move and transform data from ingestion to production.
Builds and maintains a bank’s data warehouse and reporting stack using Exadata, GCP, SQL, and BI tools like Power BI and Semarchy.
Builds and maintains data pipelines, dashboards, and ML models in AWS/Databricks and Python to drive customer performance for an e-commerce leader.
Build and maintain scalable data pipelines using Databricks, Apache Spark, Kafka, and cloud platforms, while mentoring teams and sharing best practices.
Designs, builds, and maintains data pipelines and streaming solutions using Databricks, Spark, and Kafka for client projects.
Build and maintain data pipelines and MLOps infrastructure for marketing AI models using Python, PySpark, SQL, Docker, and AWS.
Designs scalable cloud data architectures on Snowflake and AWS, builds complex SQL pipelines, and automates data workflows with Terraform and CI/CD for industrial modernization.
Builds and maintains Oney’s big-data infrastructure, processes large datasets, and partners with data scientists to refine AI models for banking use cases.
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.
Designs and builds data pipelines, models SQL databases, and improves data quality for a €5.7B asset-management firm using Azure.
Build and maintain a large-scale data platform in AWS, using Python and SQL to ensure reliability and performance for international teams.
Data Engineer building and maintaining decision-support systems for a banking-focused IT firm using SQL, Power BI, and cloud tools on GCP.
Senior Data Engineer builds and maintains scalable pipelines and ETL processes to feed AI model training and analytics at a frontier-model AI lab.
Build and maintain robust data pipelines on Databricks using PySpark and Spark SQL, collaborating with teams to gather requirements and automate data flows in an Agile environment.
Design and optimize scalable data pipelines for B2B products using Spark, Scala, and SQL, ensuring reliable real-time and batch processing in Poissy.
Design and build scalable data pipelines using Spark, Flink, and Kafka to process real-time and batch datasets for B2B data products.
Build and maintain scalable data pipelines and platforms for large clients, ensuring data reliability and performance using Python, SQL, AWS, Snowflake, dbt, and Airflow.
Data Analyst bridging business needs and data engineering teams, designing data models and pipelines in PostgreSQL, Airflow, dbt, and Kafka to ensure reliable, real-time data flows for industrial environments.
You design, automate, and secure the company’s IT infrastructure in Limoges, managing virtualization, storage, and incident response for a public-sector digital environment.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
