Top Data Engineer Jobs in Paris

As a Data Engineer at Zapier, you'll build scalable data systems, enhance product functionality through data, and collaborate with teams to improve data access and usability.

As a Data Engineer, build and manage data pipelines, ensure data quality, and support analytics for trading. Collaborate with teams to define data needs and best practices for infrastructure and applications.

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 develop reliable data pipelines, improve data ingestion systems, collaborate with stakeholders, and ensure high-quality documentation and monitoring.

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.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

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 Data Engineer at Sorare, you will design, implement, and maintain data platforms, pipelines, and governance frameworks, ensuring data quality and security while collaborating closely with engineering teams.

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 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 Middle Data Engineer, migrate SQL Server data warehouses to Snowflake, refactor ETL processes, build data pipelines, and ensure reliable data movement.

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.

Design and implement backend systems for data science features, build high-volume data pipelines, and ensure scalability for data-driven product capabilities.

The role involves developing tools for migrating accounts to Kaluza systems, analyzing customer data, and building high-performance data pipelines while collaborating with teams and customers.

As a Data Engineer, you'll design, develop, and implement high-performance data infrastructure and pipelines while communicating effectively with various stakeholders.

As a Data Engineer at Aqemia, you will manage and enhance data flows related to drug discovery, ensuring data integrity and effective communication between scientific teams. Your role includes maintaining data pipelines, organizing datasets, and collaborating closely with scientists and engineers.

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

As a Senior Data Engineer, you will design the data platform, ensure data integrity, collaborate with machine learning and software engineers, and establish best practices within the data team.