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Lead a small team of senior data engineers to build and maintain scalable data infrastructure (Spark, Kafka, Airflow) and enable AI/ML workflows for a global fashion resale platform.
Design, deploy and maintain GCP cloud infrastructure and data pipelines for Carrefour’s e-commerce data ecosystem using BigQuery, Dataform and Cloud Composer.
Senior Data Platform Engineer builds and runs a modern data stack (Snowflake, dbt, Airflow, Airbyte) on AKS, ensuring reliability, scalability and security while enabling AI use cases and internal data products.
Senior data engineer building and securing data pipelines on Snowflake, dbt, Airflow and Airbyte, ensuring data quality and observability while collaborating with cross-functional teams.
Build and maintain robust data pipelines on GCP, write optimized SQL queries in BigQuery, and develop new KPIs to support retail analytics and transformation projects.
Build and optimize modern data platforms using Snowflake and Databricks, design scalable pipelines, and implement CRM/CDP solutions for large retail, banking, and automotive clients.
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 optimize modern data pipelines and platforms using Snowflake and Databricks, then activate customer data in CRM/CDP systems like Salesforce and Adobe for marketing use cases.
Build and maintain a scalable data-integration platform for a retail company using microservices, orchestration, and DevOps practices.
Build and maintain data pipelines, dashboards, and predictive models to optimize the performance of Rexel’s eCommerce site using Qlik, Python, and web analytics tools.
Build and maintain data pipelines, dashboards, and predictive models to optimize Rexel’s eCommerce site performance, using Qlik, Python, and web analytics tools.
Build and maintain ELT pipelines, model data in a warehouse, and create Metabase dashboards to deliver clean, actionable insights for an e-commerce startup.
Build and maintain scalable data pipelines and platforms to ensure reliable, fresh data for ERP, CRM, and marketing systems in a SaaS e-commerce environment.
Build and maintain scalable data pipelines and BI infrastructure on GCP (BigQuery), using dbt and Trino to feed MicroStrategy dashboards and enable AI-driven insights.
Build and maintain Nutripure’s data platform on GCP, ensuring reliable, fresh data pipelines and enabling analysts with clean models and observability.
Designs and maintains multi-cloud data pipelines for a SaaS retail-media platform, primarily on GCP, using Python.
Build and industrialize data pipelines using Snowflake and Databricks for luxury and retail clients, integrating AI into modern data architectures.
Senior Data Engineer designs data architectures and Databricks pipelines for a major retail company, builds ML/AI agents, and supports Power BI analytics.
Build and optimize a new GCP-based data platform for a large French fresh-food retailer, focusing on ingestion pipelines, performance tuning, and FinOps while migrating from legacy systems.
Designs and maintains scalable GCP data pipelines (BigQuery, Dataflow, Dataproc) for retail clients, automating data flows and optimizing analytics infrastructure.
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