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Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Build and deploy data pipelines and cloud infrastructure on AWS for an energy-sector client, enabling trading, analytics, and sustainability use cases with PySpark, Databricks, and Python.
Builds and optimizes data pipelines using dbt, Snowflake, Airflow, and Python to deliver reliable, high-performance data platforms for clients in finance, healthcare, mobility, and climate sectors.
Senior Python engineer building scalable data pipelines and applications to modernize energy-sector systems using Python, Pandas, and DevOps practices.
Lead data projects for an industrial group, designing architectures for time-series data, APIs, and future AI initiatives to optimize energy infrastructure performance.
Senior Data Engineer builds large-scale data pipelines and transformations using Databricks and AWS services for a climate-tech energy company.
Designs and maintains industrial data pipelines using SQL Server and Azure Datalake to support real-time analytics and reporting for an international manufacturing or logistics firm.
Build and maintain large-scale geospatial data pipelines on Kubernetes, collaborating with data scientists and ML engineers to enable AI-driven energy market analytics.
Builds data pipelines and predictive models for EV-charging infrastructure, analyzing usage patterns to forecast demand and guide maintenance.
Build and maintain reliable data pipelines and analytics models to help clients optimize energy contracts and track sustainability progress using SQL, Python, and Databricks.
Lead a team to build, optimize, and maintain modern data pipelines using DBT and SQL, ensuring reliable, scalable data infrastructure for enterprise clients in finance, healthcare, mobility, and climate sectors.
Build and optimize data pipelines on AWS for clients, focusing on automation, Spark, and CI/CD to enable scalable analytics and business insights.
Lead a renewable-energy data platform, set technical standards, build reliable pipelines, and ensure data quality and observability for Akuo’s Paris-based team.
Build and optimize Microsoft Azure data pipelines and warehouses for clients, using Azure Synapse and SQL to integrate and analyze data for business intelligence and reporting.
Build and maintain cloud-based data pipelines and modern data platforms for enterprise clients, focusing on Azure Data Factory, Python, and SQL to ensure reliable, high-quality data flows and analytics.
Lead a team to design and build data pipelines and AI solutions using Microsoft Azure and Power BI for a climate-tech company.
Build and maintain scalable data pipelines, integrate data into a cloud-based data lake, and collaborate with data scientists to enable predictive modeling using Python, Spark/Databricks, and SQL.
Build and maintain Decathlon’s global data platform, designing scalable pipelines and modern data stacks (Databricks, Airflow, Spark) to power analytics and AI across the company.
Builds and maintains data pipelines, automates Power BI reports, and industrializes data workflows using Python, PySpark, SQL, Azure Databricks, and Azure DevOps.
Designs and maintains data pipelines with PySpark and SQL, industrializes and supervises ETL workflows, and builds Power BI reports to support project management at a French energy utility.
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