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.

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

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

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

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.

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

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.

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

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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.

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

The Data Integration Engineer will build efficient data platforms, lead cross-functional technical teams, and maintain data pipelines, ensuring compliance and project success.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As an Analytics Engineer, you will design and maintain SQL models for on-chain data, work with transformation tools, and collaborate with engineers on data pipelines.

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 creating and managing data assets, building data pipelines, ensuring data quality, and providing technical leadership for product teams.

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.