Top Data Engineer Jobs in France

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

The Data Engineer will design and maintain data infrastructure, implement data pipelines, ensure data quality, and support research teams in a hybrid work setup. Responsibilities include optimizing data workflows and sourcing new data.

As a Data Engineer at Sorare, you will design, implement, and maintain data platforms, pipelines, and governance frameworks, ensuring data quality and security while collaborating closely with engineering teams.

The Data Engineer will design, build, and manage data pipelines, collaborate with teams to understand data needs, and ensure data quality and security for the analytics platform.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

The role involves developing tools for migrating accounts to Kaluza systems, analyzing customer data, and building high-performance data pipelines while collaborating with teams and customers.

As a Data Engineer at Ogury, you will organize and maintain data stacks, optimize reporting systems, and collaborate with teams to enhance data accessibility and insights.

As a Senior Data Engineer, you will design and build high-volume data processing pipelines, ensuring reliability and performance using modern big data tools.

The Software Engineer will enhance the Data Catalog and scale data governance tools, focusing on backend services and performance challenges.

The Software Engineer will design, build, and deploy tools for managing Flink jobs, contributing to data processing infrastructure and open-source development at Datadog.

Design and implement backend systems for data science features, build high-volume data pipelines, and ensure scalability for data-driven product capabilities.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

The Senior Data Engineer will design and implement data engineering solutions, manage integrations, and collaborate with teams to optimize data operations.

Design and maintain data infrastructure, build data pipelines, optimize for performance, and ensure data accuracy, collaborating with teams.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

Develop and maintain data pipelines, deploy machine learning models, and improve internal processes in a cloud environment. Collaborate as a team member to drive high-priority data projects.

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.

The Data Engineer will develop data pipelines, support data scientists, deploy cloud infrastructure, and participate in community events.

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

Design and develop reliable data pipelines, improve data ingestion systems, collaborate with stakeholders, and ensure high-quality documentation and monitoring.

Design, build, and maintain scalable data infrastructure, ensuring data accessibility and security while collaborating with data teams to improve AI models.

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

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