Top Data Engineer Jobs in Paris

As a Data Engineer at Ekimetrics, you will design and industrialize data pipelines, develop using modern data platforms, implement CI/CD processes, enhance your knowledge in data engineering and science, and contribute to R&D activities.

As a Data Engineering Manager at Pennylane, you will lead a team of data engineers, design and implement data solutions, collaborate with product managers, and work alongside data scientists and analysts to enhance data quality and usage across the company.

As a Middle Data Engineer, you will play a key role in enhancing the online car market by building and maintaining data pipelines, improving existing tools, and collaborating with senior engineering teams. Your expertise in data platforms and AWS services will drive significant improvements in user experience.

As a Cloud Data Engineer at DuPont, you will define data architecture standards, develop ETL processes, implement Azure data services, and ensure data governance. You will collaborate with teams to deliver data solutions, provide technical guidance, and enhance existing data services while adhering to security compliance standards.

As a Strong Middle Data Engineer, you will design and maintain data platforms and pipelines for an online car market. Collaborate with senior engineers to simplify tools and enhance user experience while actively participating in decision-making and improvements.

As a Data Engineer at Shippeo, you will ensure data availability for Data Scientists and Analysts by constructing and maintaining a modern data stack. Responsibilities include optimizing data pipelines, ensuring data quality, and implementing infrastructure for data processing and storage.

As a Data Engineer at Edge & Node, you will develop and maintain data ingestion adapters for various blockchain networks, implement data ingestion strategies, handle data quality checks, and optimize block ingestion processes. You will collaborate with upstream data sources and contribute to the growth of a decentralized web3 ecosystem.

As a Data Engineer, you will design, build, and maintain the data infrastructure needed for collecting, storing, and analyzing large datasets. Collaborating with development and data teams, you'll ensure data accuracy and reliability to support business decisions and product innovation.

The Data Engineer will design, develop, and improve data ingestion and transformation pipelines, manage data platform components, ensure code quality and scalability, collaborate with other data professionals, provide technical support, and participate in project planning and execution.

As a Lead Software Engineer - Data, you'll build and guide the Data Team, design scalable data architecture, ensure timely data project delivery, and manage data quality and governance. Your role involves implementing data strategies aligned with business objectives while mentoring team members to maximize performance.

The AI Data Science Engineer will adapt and customize large language models, manage data processing and analysis, develop AI solutions in collaboration with cross-functional teams, monitor model performance, and stay updated with innovations in AI and machine learning.

As a Senior Data Analyst - Solution Engineer at Mytraffic, you will manage end-to-end projects that involve collaborating with clients to understand their needs, creating customized solutions, and engaging with sales teams to demonstrate the value of these solutions. You will also gather client feedback to enhance offerings and work closely with product teams.

As a DevOps Engineer at QRT, you will maintain and develop infrastructure and CI, deploy applications, and support troubleshooting efforts within a tech-driven environment.

The Senior Data Engineer will construct and manage data pipelines, contribute to coding practices, oversee project development from estimation to release, and collaborate with back-end developers and data scientists to optimize data architecture and solutions.

As a Data Engineer, you will design, enhance, and scale a cutting-edge data platform, collaborating with teams to select and implement optimal tools and frameworks while mentoring peers. You will drive innovation, conduct research for technological advancements, and ensure the data platform meets business needs.

As a Principal Data Engineer, you will be responsible for building and optimizing data pipelines and infrastructure to support experimentation and decision-making. You'll collaborate closely with cross-functional teams to establish best practices, implement A/B testing frameworks, and maintain scalable datasets to enhance user engagement and product adoption.

As a Data Solutions Engineer, you will implement and maintain data retrieval pipelines, optimize the performance of production pipelines, and integrate external systems via APIs. The role involves designing new data pipelines and connectors to automate processes and support data science functions, with a focus on improving business operations and detecting fraud.