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Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
Build and maintain robust, scalable data pipelines for a major retail player, ensuring reliable and high-performance data flows for analytics and business use.
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 Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
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.
Builds and maintains web analytics pipelines, predictive models, and conversion optimization tools for Rexel’s ecommerce site using Python and Qlik.
Build and maintain modern GCP-based data pipelines and warehouses for a fast-growing natural-cosmetics e-commerce company.
Builds and maintains data pipelines for Rexel France’s ecommerce site, implements tracking, runs A/B tests, and builds predictive models to optimize digital marketing performance.
Build and maintain data pipelines, automate integrations between ERP/PIM/e-commerce and BI tools, and develop Power BI reports for a mid-size industrial company.
Builds a data pipeline from Shopify and Lightspeed into BigQuery and creates dashboards in Looker Studio for a fast-growing Japanese-fusion restaurant-tech startup.
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.
Designs and maintains cloud data pipelines and analytics platforms for clients in luxury, retail, healthcare, and media, ensuring robust orchestration, security, and observability.
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.
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