Top Data Engineer Jobs in France

As a Data Engineer, you will design, build, and maintain data pipelines, optimize workflows, and ensure data quality for analytics across SOPHiA GENETICS, focusing on enabling data-driven decisions in healthcare.

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 Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

As a Data Engineer, you will design and optimize scalable data pipelines, work with Databricks and Snowflake, and enable AI use cases.

As a Data Engineer, build and optimize high-performance data infrastructures for deep learning by managing large volumes of raw video data, ensuring efficient processing pipelines and data quality.

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

As a Data Engineer at Homa, you'll build and scale data platforms and products, collaborating with cross-functional teams on data pipelines and AI use cases.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

As a Senior Calibration Data Infrastructure Engineer, you will design and implement data infrastructure for calibration results, automate data collection, and support analysis to enhance the reliability of the Quantum Processing Unit.

The Senior AI Data Engineer will design and implement data pipelines, ensure data quality, support AI systems, and optimize infrastructure at Doctolib.

Assist in developing AI solutions for data management and analysis, automate data updates, and enhance user access to databases.

This internship involves migrating data pipelines to a cloud datalake, reviewing specifications, running unit tests, and collaborating with a global digital team.

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

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

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

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.

Design and optimize data pipelines, develop APIs for ML models, collaborate with teams on AI projects, and guide junior engineers.