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Design, build, and optimize cloud-based data pipelines for a global aerospace company, collaborating with cross-functional teams to deliver scalable data solutions.
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans, leveraging Python, Databricks, and cloud platforms to drive digital transformation across industrial, financial, and sales domains.
Builds risk-analysis tools and automated reports for a sustainable-investment firm, leveraging GCP and no-code platforms to track financial, regulatory and ESG metrics.
Builds and maintains scalable data pipelines for an AI platform that processes satellite imagery, using Python, Airflow, PostgreSQL/PostGIS, and AWS.
Build and optimize end-to-end data pipelines on Databricks and Spark, handling ingestion, modeling, storage, and exposure while mentoring peers and running DevOps practices.
Build and maintain the global data platform that powers Octopus Energy’s energy trading, forecasting, and risk operations using Python, SQL, Kubernetes, and AWS.
Designs and maintains data pipelines and dashboards for Safran Aircraft Engines, ensuring reliable ingestion and visualization of aerospace manufacturing and performance data.
Design, maintain, and optimize industrial data pipelines and real-time reporting systems for a manufacturing group with 15 global plants.
Build SQL and Python analyses, dashboards, and data pipelines to guide retail and energy strategy at a major French distributor.
Builds and maintains data pipelines, warehouses, and lakes to integrate industrial systems (ERP, MES, IoT) and enable reporting, BI, and AI projects.
Designs and maintains data pipelines, warehouses, and BI dashboards to deliver clean, secure data for strategic decisions across transport, healthcare, and industrial clients.
Data Engineer automates quality processes for embedded systems using Python, ML, and data analysis to improve validation and certification workflows.
Build and optimize end-to-end data pipelines and cloud architectures for aerospace clients using Java, Python, Spark, and AWS/Azure.
Builds large-scale AI pipelines to process Earth observation data, integrating remote sensing with machine learning for climate analytics.
Designs and deploys scalable data and AI pipelines using Python, Databricks, MLflow, and cloud platforms (Azure/AWS/GCP) to support business use cases.
Build and automate data pipelines in Python to power digital twins of buildings and territories, integrating geospatial data and preparing AI services like LLM APIs and RAG systems.
Design, build, and optimize modern data pipelines and platforms for enterprise clients in finance, transport, and public sectors using SQL, NoSQL, and cloud tools like GCP BigQuery and AWS Glue.
Build and maintain data pipelines for a strategic data warehouse in the energy sector using Python, Airflow, and SQL.
Lead a team of data engineers and analysts to build and maintain ETL pipelines, SQL databases, and PowerBI reports for client projects, while aligning technical roadmaps with AI transformation goals.
Build and maintain scalable data platforms using Python, SQL, DBT, BigQuery, and Cloud Composer to help clients operationalize and analyze their data.
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