Top Data Engineer Jobs in Paris

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 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.

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.

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

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 architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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

The role involves constructing and managing data pipelines, contributing to codebases, and owning projects from inception to release while collaborating across teams to meet business needs.

Construct and manage data pipelines, contribute to codebase, collaborate with teams on projects, and optimize data handling for scalability and reliability.

The Principal Engineer - Data Science leads engineering processes, provides technical consultation, and supports project management while mentoring engineers and driving technical innovations.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.

Lead validation and automation of data pipelines, ensure data quality, and collaborate on building robust testing frameworks for cloud-native applications.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Platform Engineer, you will maintain and develop the data platform infrastructure, optimize operational pipelines, and support teams with monitoring and debugging processes while driving scalable solutions.

The Data Analytics Engineer will drive technology solutions, focusing on TMS implementation in logistics to enhance operational efficiency and collaboration across departments.

The Sr Data Engineer will create and maintain data pipeline architecture, manage data quality standards, and support data infrastructure needs while ensuring reliability and scalability of the data systems.

Design, build, and maintain scalable data infrastructure, ensuring data accessibility and security while collaborating with data teams to improve AI models.

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

The Data Integration Engineer will build efficient data platforms, lead cross-functional technical teams, and maintain data pipelines, ensuring compliance and project success.