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 Looker dashboards and SQL pipelines to turn business data into actionable insights for Valeo’s AI team in Créteil.
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.
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 Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Build and deploy AI-powered data pipelines and ML models for client marketing analytics using Python, Airflow, and BigQuery, then visualize insights in Power BI or Looker.
Consultant Data Engineer builds and deploys secure, FinOps-optimized data pipelines on Microsoft Fabric and Azure for clients, designs scalable solutions, and trains teams on best practices.
Build and deploy secure, scalable data pipelines on Microsoft Fabric and Azure for clients in finance, AI, and devtools, while mentoring teams and driving FinOps best practices.
Build and advise on modern data platforms on Google Cloud Platform, designing scalable architectures with BigQuery, Dataflow, and Dataproc while mentoring junior engineers.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Build and maintain end-to-end data pipelines and modern data stacks for clients, using cloud DWHs (BigQuery/Snowflake), orchestration (Airflow, dbt), and SQL/Python to deliver reliable, analytics-ready data and BI solutions.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Build and maintain data pipelines for digital analytics, transforming raw data into KPIs and reports using Python, BigQuery, and visualization tools.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Build and maintain scalable data pipelines and analytics platforms for enterprise clients using Python, ETL tools, and cloud services like GCP/AWS.
Builds and maintains data pipelines from raw sources to curated layers using dbt, BigQuery, and Looker for analytics and data science teams in a retail media context.
Build and maintain Big Data pipelines on GCP for a major retail client, using BigQuery, SQL, Python, and DevOps practices to support data analysts and ensure operational reliability.
Build and optimize data pipelines using Python, SQL, FastAPI, and Google Cloud tools, while experimenting with AI to enhance workflows and drive business impact.
Build and maintain scalable data pipelines and warehouses in GCP/Azure, transforming raw data into clean, reliable insights for business decisions and dashboards.
Build and optimize robust, scalable data pipelines and architectures for enterprise clients, blending hands-on engineering with consulting to turn business needs into actionable data solutions.
We couldn't check your fit for this role — add a CV to your profile to see it next time.