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Senior Data Engineer designs and builds Azure-based data pipelines and analytics solutions using Azure Data Factory, Azure SQL Database, and Power BI.
Leads the unification of Leetchi’s data infrastructure, building a central data warehouse, dbt pipelines, and orchestration while ensuring GDPR and PCI-DSS compliance.
Build and maintain a scalable health-data platform that unifies patient records, enforces security and privacy, and supports analytics and research across the Softway Medical group.
Build and maintain data pipelines, transform raw data into analytics-ready assets, and deliver dashboards for business stakeholders using Python, SQL, and AWS.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Spark, Snowflake, Kafka, and GCP/Azure.
Lead a team building and optimizing large-scale data pipelines using Spark and Scala, designing robust data architectures for enterprise clients.
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 the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Build and maintain scalable data pipelines, warehouses, and lakes for public-sector or energy clients using Kafka, Spark, Snowflake, and GCP/Azure.
Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Senior Data Engineer builds and maintains reliable, scalable data pipelines and Snowflake-based warehouses for a SaaS nonprofit platform, ensuring clean data flows between HubSpot, Jira, Odoo and Google Workspace.
Consultant Data Engineer designs and optimizes Databricks/Spark pipelines, reduces data-processing costs, and applies LLM tools to improve performance and documentation for a Lille-based client’s data-architecture overhaul.
Build and optimize scalable, secure Snowflake-based data pipelines and modern data platforms for clients, integrating multi-cloud services and applying DataOps best practices.
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.
Tech Lead Data Engineer designs and scales a cloud-based data platform on Azure/Databricks, coaches junior engineers, and builds robust data pipelines with monitoring and CI/CD.
Designs, builds, and optimizes data pipelines and warehouses using Snowflake and SQL to modernize data architecture and support business analytics.
Data Engineer to modernize the data stack, build key algorithms, and harmonize data flows for strategic decision-making using SQL and Python.
Design and maintain high-performance data architectures, integrating new sources and optimizing pipelines using Python, SQL, Hadoop, Spark, AWS, and Google Cloud.
Designs and optimizes data pipelines and ETL workflows using Talend and SQL to ensure reliable data flows for an industrial-property company.
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