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/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.

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

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 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 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.

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 Data Engineer will oversee data workloads on AWS and Azure, improve governance, manage architecture decisions, and collaborate across departments to deliver complex data products.

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.

The role involves designing, building, and maintaining a global data platform, ensuring performance and security in Snowflake, and collaborating with teams to optimize data delivery.

The Senior Python Developer will build and enhance data platforms for quantitative trading, ensuring code quality and performance while collaborating with teams.

The Senior Data Engineer designs and builds high-quality data pipelines, ensuring reliability and adherence to engineering standards while collaborating with product and BI 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.

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 designs and maintains data pipelines, collaborates with stakeholders, ensures data quality, and contributes to best practices.

The Senior Data Engineer will design and maintain data pipelines, ensure data reliability, build a data platform for R&D, and collaborate with cross-functional teams to provide actionable insights.

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

As Lead Data Engineer, you will architect and optimize data infrastructure, mentor a data engineering team, ensure data integrity, and drive innovation by leveraging emerging technologies, including AI.