Top Data Engineer Jobs in France

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.

As a Data Engineer, you will build and maintain data pipelines, define data collection, create reliable data assets, and ensure data quality.

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 AI Engineer will design and develop AI agents and machine learning solutions, focusing on LLM integration and scalable data pipelines, while ensuring compliance in regulated environments.

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.

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.

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.

Design, build, and maintain scalable data pipelines. Optimize workflows on Databricks and Snowflake, ensuring data security and governance while preparing for AI/ML use cases.

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

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 will design and maintain data pipelines, ensuring data quality across departments, and integrating AI tools for improved data handling.

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.

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 Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

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

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 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.

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.

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