Top Data Engineer Jobs in France

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

As a Senior Data Engineer, you will build data pipelines, manage infrastructure, ensure code quality, and improve team processes within Veepee's data team.

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.

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.

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.

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

The Senior DataOps Engineer will design, implement, and manage data infrastructure, build data pipelines, automate workflows, and ensure data quality. Collaboration with teams to enhance data strategy is key.

As a Senior Data Engineer, you will design and implement data pipelines, collaborate with teams, and enhance data infrastructure for decision-making.

The Senior Staff Software Engineer will design, build, and maintain data streaming pipelines using Kafka, enhancing system performance for cybersecurity solutions.

The Backend Developer will design, develop, and improve product features, ensure application reliability, maintain code quality through reviews and tests, and coordinate small developer teams.

Design and optimize data pipelines and warehouse models, conduct data quality analysis, and collaborate with business teams to meet data needs.

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 Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

The role involves designing data and connectivity systems, leading projects, and ensuring compliance with certification and customer requirements. Requires extensive experience in network and telecommunications.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.