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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 data pipelines and AI-driven analytics for Decathlon’s digital products, working in a hybrid setup between Lille or Paris.
Lead Data Engineer designing and maintaining Databricks/Spark pipelines in Python and SQL to migrate and industrialize a new energy-sector data platform, ensuring performance, reliability, and cost control.
Build and automate a data lakehouse for a large bank, focusing on data structuring, pipelines, and observability with SQL and Kafka.
Build and maintain scalable data pipelines on Databricks, integrating diverse sources and industrializing ML models for enterprise clients.
Builds and maintains data warehouses and pipelines using Databricks, collaborating with analysts and architects to support clients' data and cloud transformation.
Design and build large-scale Big Data pipelines and ETL modules using Python, SQL, Spark, and cloud platforms (AWS/GCP/Azure) to process and integrate data for enterprise clients.
Designs and maintains Azure-based data pipelines for risk modelling, focusing on governance, automation, and performance monitoring.
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.
Design and automate big-data pipelines to turn raw naval-system data into real-time dashboards and anomaly-detection models, ensuring performance and security in a defense context.
Lead a modern enterprise data platform using Snowflake and dbt, designing ELT pipelines, optimizing SQL, and guiding teams to deliver reliable, business-impactful data solutions.
Lead Data Engineer to build and scale data pipelines and warehouses for a B2B startup serving hotels, using Python, SQL, Airflow, dbt, and cloud services.
Design and build Snowflake-based data pipelines and models for clients, using SQL/ETL and modern data-architecture best practices.
Build and maintain scalable data pipelines and observability platforms using SQL and NoSQL databases for a Paris-based tech company.
Build and optimize ETL/ELT data pipelines, deploy production systems, and provide technical support using SQL and Python.
Build and maintain data platforms for financial clients, ingesting and processing data in batch/streaming pipelines using Spark, Kafka, and cloud tools to deliver analytics and insights.
Design and build modern data platforms and pipelines for a data-focused company in Rennes.
Senior Snowflake Data Engineer designs and builds cloud data warehousing solutions using Snowflake and SQL for a consulting firm.
Designs, builds, and optimizes data pipelines and warehouses using Snowflake and SQL to modernize data architecture and support business analytics.
Design and maintain scalable data pipelines for AI/ML systems using Python, SQL, and cloud platforms like AWS and GCP.
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