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Data Engineer builds and maintains data pipelines and BI dashboards for a national public-transport operator using Microsoft Power Platform.
Build and maintain robust data pipelines on Google Cloud Platform and Snowflake using Python, ensuring reliable data flows for analytics and reporting.
Consultant builds and implements data pipelines and integrates generative AI solutions for enterprise clients using Python and SQL.
Leads a data engineering team in Paris, designing scalable big-data architectures with Hadoop, Spark, Kafka, Kubernetes and Docker while mentoring engineers.
Designs and deploys modern cloud data platforms on GCP for enterprise clients, focusing on scalable architectures and high-quality deployments.
Build and maintain high-volume data pipelines on GCP using BigQuery, dbt, and Airflow, optimizing performance and ensuring data quality for analytics.
Build and optimize backend services and AI pipelines for conversational agents using Go or Python, designing REST APIs and integrating data sources.
Designs, builds, and maintains scalable cloud infrastructure for research and trading systems using AWS services like EC2 and EKS, while automating deployment pipelines.
Designs and builds scalable data pipelines, integrates cloud data warehouses, and embeds AI models for clients in retail, energy, and industry using Snowflake, dbt, Talend, Python, and cloud platforms.
Lead a data team to build ETL/ELT pipelines and reporting that drive operational excellence for airport assistance services.
Build and maintain a real-time market data lakehouse platform using Python and SQL, designing data contracts and self-healing pipelines for trading, risk, and research teams.
Build and maintain modern GCP-based data pipelines and warehouses for a fast-growing natural-cosmetics e-commerce company.
Build and maintain data pipelines and warehouses using dbt, SQL, and cloud platforms like Snowflake or BigQuery.
Build and refine AI models and data pipelines to transform accounting data into actionable financial insights using Python and ML.
Senior Software Engineer building data collection pipelines to power Deepki’s climate-tech platform for real-estate sustainability analytics.
Designs AI/ML models to automate and improve embedded system validation and certification processes using data analysis and automation.
Build, train, and deploy production-grade ML models and scalable data pipelines for enterprise clients, with a focus on monitoring, drift detection, and retraining.
Design and deploy robust ETL/ELT pipelines, orchestrate workflows with Airflow, and build modern data stacks on Denodo, Dremio, Trino, and Iceberg in Kubernetes environments for public-sector clients.
Build AI/ML-driven automation to validate embedded systems, collaborating with teams across France, England, and Germany.
Build and deploy ML models end-to-end: design MLOps pipelines, containerize services, and scale AI systems on cloud platforms like AWS/GCP.
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