Top Data Engineer Jobs in Paris

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 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.

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

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 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.

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

The Senior Data Engineer will build scalable data pipelines, lead technical initiatives, enforce data governance, and collaborate with multiple teams to enhance the data platform at TheFork.

The AI Data Engineer designs and operates data pipelines for reliable AI systems, focusing on data curation, evaluation workflows, and collaboration with engineering teams to ensure data integrity and performance efficiency.

Join the Platform engineering team to ensure the reliability and scalability of the Data Layer for the Shift Cloud Platform, focusing on automating deployment and managing Infrastructure-as-Code for AWS services whilst optimizing data platforms for performance and reliability.

As a DevOps Engineer, you will ensure the reliability, scalability, and performance of database platforms, automate operations, and support Kubernetes adoption, while collaborating with engineering and data teams.

The role involves designing and building a data platform, developing automations and workflows, and collaborating with users to deliver solutions.

Responsible for data collection to support model training, finding new audio data sources, and operating the cloud infrastructure for ingestion pipelines.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.