Top Data Engineer Jobs in France

The Senior Software Engineer will scale the Supplier Data Manager for enterprise customers, enhance AI-driven data pipelines, and improve collaboration features while ensuring operational excellence and customer-driven product development.

The Data Engineer is responsible for designing and maintaining data pipelines, managing data infrastructure on GCP, implementing data models, collaborating on ML projects, and ensuring security and governance of data systems.

The Data Engineer will build and maintain data infrastructure for the Too Good To Go platform, focusing on data ingestion, modeling, and operational support. Collaborating with cross-functional teams, this role emphasizes delivering quality data products and simplifying complex processes.

The Data Engineer will build and maintain data infrastructure, collaborate with stakeholders, design data models, and implement data quality checks to support financial operations.

The Data Engineer/Analyst is responsible for maintaining and optimizing data infrastructure, ensuring data integrity, collaborating with teams, and enhancing data accessibility while supporting analytics and product development.

As a Data Analytics Engineer intern, you'll transform raw data into actionable insights, collaborate with stakeholders, and develop data models and dashboards to track performance indicators.

Develop and maintain data models and ETL pipelines, collaborate with teams for delivering high-quality data solutions, ensure data consistency and quality, and participate in Agile development processes.

As a Data/Analytics Engineer, you will design and maintain data pipelines, optimize data infrastructure, and ensure data quality and compliance while collaborating with various teams.

As a Data Engineer at Homa, you'll build and scale the data platform, create reliable data pipelines, contribute to AI products, and enable data access across teams.

The IT/OT Data Engineer is responsible for data collection, architecture development, building data pipelines, and collaborating with data scientists to improve data reliability and efficiency.

As a Data Analyst, you will analyze data to drive insights, create reports and dashboards, and collaborate with teams to optimize product performance.

As the Data Engineer, you will design and maintain data pipelines, scale data infrastructure, ensure data quality, and collaborate with analysts to enhance decision-making capabilities.

As a Data Engineer, you will develop data pipelines, collaborate with data scientists, and deploy cloud infrastructures, while participating in community events.

The BI Developer will create business intelligence solutions, mentor analysts, develop APIs in Python, and collaborate with teams to improve data-driven decisions.

Build and maintain GTM systems and data pipelines: design data models, develop internal FastAPI/React apps, lead an OpenAI Agent-based GTM AI layer, drive architecture and CI improvements, perform code reviews, and collaborate with Sales, RevOps, Data, and R&D to increase adoption and reliability.

As a Data Engineer, you will develop data pipelines, support data scientists, deploy cloud infrastructure, and collaborate within the data community.

The Data Engineer will develop data platforms in the cloud, create data pipelines, collaborate with data scientists, and deploy infrastructures using infra-as-code.

The Data Engineer will develop data pipelines, collaborate with data scientists, deploy cloud infrastructure, and contribute to community knowledge.

Develop data pipelines, support data scientists, deploy cloud infrastructures, and engage in community events. Requires strong data engineering skills and collaboration.

As a Data Engineer, you will develop data pipelines, support data scientists, deploy cloud infrastructure as code, and participate in the data community.

As a Senior Data Engineer, you will design, build, and maintain robust data pipelines for large datasets, manage cloud infrastructure, and ensure data integrity while collaborating with cross-functional teams.

The Clinical Data Engineer will manage data pipelines for clinical studies, ensuring data integration and analysis for hardware validation and product accuracy. The role involves close collaboration across teams and requires expertise in data engineering, statistical modeling, and biometrics.

As a Data Engineer at Dedale, you will manage data governance, architecture, and pipelines, ensuring data quality and supporting analytics and AI initiatives in a high-impact role.

The Data Engineer will build and manage scalable data infrastructure, develop reliable data pipelines, ensure data quality and monitoring, and support AI deployments, collaborating with analysts and stakeholders.

The Data Fabric Engineer will develop data platforms, automate relationship mapping, maintain ontologies, and build governance applications, focusing on data governance and AI-based functions.