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Build and maintain large-scale data pipelines and warehouses for a retail-focused analytics platform using GCP BigQuery, SQL, Python, and DevOps practices.
Build and maintain high-volume data pipelines for a major e-commerce player using Python, Snowflake, Kafka, and Kubernetes, ensuring scalability and data integrity.
Build and maintain high-volume data pipelines for a large French e-commerce leader using Snowflake, Kafka, and Python, with infrastructure managed via Terraform and Kubernetes.
Build and scale a unified data platform for a fintech/e-commerce group, migrating workflows to Snowflake, dbt Core, and Airflow while ensuring data reliability and security.
Build and maintain robust ETL pipelines, cloud data platforms, and databases to support analytics and AI teams using Python, Spark, and cloud services like AWS/Azure/GCP.
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.
Designs and maintains AI-first data pipelines on GCP using Python, dbt, and Trino to power Vente-Privee’s e-commerce platform.
Build and optimize scalable data pipelines on Google Cloud Platform (BigQuery, Cloud Functions) to support retail analytics and reporting.
Build and maintain data pipelines for a Retail Media SaaS platform, integrating sales, product, store, and IoT feeds across multi-cloud (GCP/Azure) to power campaign measurement and deployment.
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 maintain scalable data pipelines and warehouses for an online DIY/home-improvement marketplace using Snowflake, Airflow, Python, Kafka, and S3.
Build and scale high-volume data pipelines for a leading French e-commerce company using Snowflake, Kafka, and Python.
Builds and maintains a Microsoft Fabric/Synapse data warehouse, ETL pipelines, and Power Platform solutions to consolidate Dynamics 365, Salesforce, and SQL data for BI and AI use-cases.
Build SQL and Python analyses, dashboards, and data pipelines to guide retail and energy strategy at a major French distributor.
Build and maintain robust data pipelines for a retail client, using Python, SQL, dbt, and GCP services like BigQuery and Airflow to ensure high-quality, production-ready data for BI and AI teams.
Senior Data Engineer builds and modernizes scalable data pipelines and dbt models to power a global e-commerce platform, migrating legacy systems and enabling data-driven decisions across brands and markets.
Design and build scalable ETL pipelines and data models to improve data reliability and analytics for an ecommerce platform.
Build and maintain AI-ready data pipelines that centralize, clean, and store ERP, PIM, web, and partner data for Maisons du Monde’s analytics and operations.
Build and maintain scalable data pipelines and warehouse models to power Farfetch’s luxury fashion marketplace analytics and reporting.
Build and maintain scalable data pipelines for an e-commerce platform using Snowflake, Airflow, Python, S3, and Kafka to ensure reliable, high-quality data flows.
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