Top Data Engineer Jobs in Paris

The Data Engineer will design and maintain data pipelines, optimize performance, and work with data scientists and investment teams on AI-driven investment analysis.

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.

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

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

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

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.

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 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.

The Software Engineer will design, build, and deploy tools for managing Flink jobs, contributing to data processing infrastructure and open-source development at Datadog.

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 design and optimize scalable data pipelines, work with Databricks and Snowflake, and enable AI use cases.

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.

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.

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

As a Senior Data Engineer, you'll design impactful software data products, drive technical project direction, and maintain a robust Data Platform, focusing on data architecture and best practices in a collaborative environment.

The Senior Data Engineer will design and optimize data pipelines using Microsoft Azure technologies, collaborating with teams to ensure solutions are scalable and business-aligned.

This role involves building client relationships, demonstrating the value of Databricks' platform, and providing technical expertise to support AI and data strategies.

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 a Staff DataOps Engineer, lead data platform strategy, optimize data pipelines, mentor teams, and drive innovation in data infrastructure for healthcare solutions.

Design and optimize large-scale data pipelines and APIs on GCP and AWS while collaborating with AI and video teams to enhance product capabilities.

As a Senior Data Engineer, you'll design and maintain data pipelines, optimize systems for large-scale event delivery, and lead architectural improvements while mentoring junior engineers.

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 Senior MLOps, you'll build and maintain data pipelines, design data storage solutions, and deploy model-serving systems, collaborating with ML Engineers for performance and quality.