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 maintains CI/CD pipelines, deploys services to Kubernetes, and automates infrastructure using Terraform and observability tools like Prometheus and Grafana.
Build and industrialize AI/ML pipelines for Crédit Agricole, turning experiments into secure, scalable production systems using MLOps, LLMOps, and data engineering.
Build and maintain Carrefour’s GCP-based data platform, automating pipelines for BigQuery, Cloud Storage, and Qlik BI tools to support e-commerce analytics at scale.
Maintain and optimize a high-volume ClickHouse analytics platform, design data models, and mentor engineers on database performance and best practices.
Designs and deploys robust GCP data solutions (BigQuery, Dataflow, Cloud Storage) with security, monitoring, and automation using Terraform and Python.
Build and maintain an Analytics Factory for large clients, designing data pipelines, optimizing flows, and transforming raw data into dashboards using SQL, PowerBI, Scala, Spark, and Lakehouse architectures.
Build and maintain scalable, reliable data infrastructure using ClickHouse, CockroachDB, Trino, and Kubernetes, plus AWS services and Terraform.
Build and maintain a patient data warehouse using SQL, Python/R, and OMOP CDM to ensure data quality and governance for a healthcare-focused product team.
Build and maintain modern data platforms on Azure, designing data pipelines, warehouses, and CI/CD workflows while advising clients on tech choices and best practices.
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and Azure Fabric to deliver analytics and AI solutions for enterprise clients.
Design and deploy data analytics solutions using Azure and Microsoft Fabric for a Paris-based tech consultancy.
WPP Enterprise Solutions recrute un Consultant·e Développeur.se MarTech à Paris pour piloter l’intégration et la migration de solutions data/CRM. Vous travaillerez au cœur des flux entre plateformes marketing et…
Designs, deploys, and secures Google Cloud data pipelines (BigQuery, Dataflow, Cloud Storage) using Terraform and Python, while automating CI/CD and cloud operations for enterprise clients.
Designs Azure-based data pipelines and CI/CD workflows for client innovation projects, ensuring robust data integration and development quality.
Senior Data Engineer builds end-to-end data pipelines, modern data stacks, and analytics-ready warehouses for clients using SQL, Python, Airflow, dbt, and cloud DWHs like BigQuery or Snowflake.
Build and maintain GCP-based data pipelines and services in Python (Flask) to power customer analytics, using Terraform and CI/CD for secure, scalable deployments.
Build and maintain a patient data warehouse, standardize health records, and ensure data quality and traceability using SQL and Python/R.
Design and maintain ELT pipelines and dbt models on AWS to build a reliable data platform, ensuring GDPR compliance and collaborating with business teams.
Lead a team to design, build, and optimize Databricks-based data pipelines and AI architectures for enterprise clients, ensuring scalable data ingestion, processing, and visualization while mentoring engineers.
Design and build modern data pipelines and analytics platforms using Azure services like Data Factory, Synapse, and Datalake to integrate and model enterprise data for real-time insights.
We couldn't check your fit for this role — add a CV to your profile to see it next time.