Top Data Engineer Jobs in Paris

The Senior BI Data Engineer will manage BI reports and data pipelines, optimize analytics flows, and collaborate across teams to ensure data integrity and product delivery.

The Senior Data Engineer will build scalable data pipelines, lead technical initiatives, enforce data governance, and collaborate with multiple teams to enhance the data platform at TheFork.

The role involves designing and building a data platform, developing automations and workflows, and collaborating with users to deliver solutions.

The AI Data Engineer designs and operates data pipelines for reliable AI systems, focusing on data curation, evaluation workflows, and collaboration with engineering teams to ensure data integrity and performance efficiency.

Join the Platform engineering team to ensure the reliability and scalability of the Data Layer for the Shift Cloud Platform, focusing on automating deployment and managing Infrastructure-as-Code for AWS services whilst optimizing data platforms for performance and reliability.

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

The Data Scientist / AI Engineer will identify AI use cases, design and maintain LLM systems, deploy models, and support product teams with insights.

The Lead Data Engineer at Ipsen Pharma will define and standardize data engineering practices, build tools for automation, and lead community engagement while ensuring consistent solutions across teams.

As a Senior Analytics Engineer, you will build and maintain data pipelines, develop data marts and dashboards, and ensure data quality, while collaborating with stakeholders to meet their data needs.

As a Senior Analytics Engineer, you'll build data products, manage data pipelines, and collaborate with teams to provide data-driven insights within Doctolib's healthcare services.

As a Senior Data Engineer at QRT, you will build scalable Data Lakehouse solutions, design software in the AWS cloud, develop data pipelines, and ensure data quality for trading desks.

As a Senior Software Engineer on the Data Platform team, you'll design and optimize data architecture, create scalable data pipelines, and improve data accessibility and quality across the company.

The AI and Data Operations Engineer will develop Python scripts, manage data lake infrastructure, support AI agents, and optimize processes.

Lead development of core geospatial products, data-processing and annotation tools. Set technical vision for web apps, ETL pipelines, and backend services; optimize ML model orchestration; mentor engineers; collaborate with product and customers to deliver scalable, near-real-time geospatial data systems.

The Senior Data Engineer will design, develop, and enhance data pipelines, ensuring quality and performance while collaborating in an Agile environment.

Drive the design of data architecture for scalable systems, optimize data pipelines, and mentor junior engineers in a collaborative work environment.

As a Data/Analytics Engineer, you will design and maintain data pipelines, optimize data infrastructure, and ensure data quality and compliance while collaborating with various teams.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

Design and implement scalable features, build data pipelines, collaborate with cross-functional teams, and enhance data infrastructure for improved decision-making.

The Senior Data Engineer designs and builds high-quality data pipelines, ensuring reliability and adherence to engineering standards while collaborating with product and BI teams.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Python Developer will build and enhance data platforms for quantitative trading, ensuring code quality and performance while collaborating with teams.

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

Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.

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.