Top Data Engineer Jobs in France

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 Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

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.

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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

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

The Data Engineer will design and maintain data pipelines, optimize performance, and work with data scientists and investment teams on AI-driven investment analysis.

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 at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

As a Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

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.

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

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