Top Data Engineer Jobs in Paris

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.

The Senior Software Engineer will design and build backend systems for data science features, focusing on scalable solutions for processing streaming data and enhancing core products.

As a Senior Data Engineer, you will design and build high-volume data processing pipelines, ensuring reliability and performance using modern big data tools.

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

As a Data Engineer, you will design and optimize scalable data pipelines, work with Databricks and Snowflake, and enable AI use cases.

Assist in data engineering and automation initiatives for Finance and Payment operations. Responsibilities include building data pipelines, structuring knowledge databases, and contributing to AI automation projects.

As a Data Engineer at Homa, you'll build and scale data platforms and products, collaborating with cross-functional teams on data pipelines and AI use cases.

As a Senior Calibration Data Infrastructure Engineer, you will design and implement data infrastructure for calibration results, automate data collection, and support analysis to enhance the reliability of the Quantum Processing Unit.

The Senior AI Data Engineer will design and implement data pipelines, ensure data quality, support AI systems, and optimize infrastructure at Doctolib.

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

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

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 Senior Data Analyst at Wizz, you will build data workflows, analyze product changes, and collaborate with teams on data-driven initiatives to improve app performance.

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.

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

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.

Design and optimize data pipelines, develop APIs for ML models, collaborate with teams on AI projects, and guide junior engineers.

As a Data Engineer, you will build and maintain data pipelines, define data collection, create reliable data assets, and ensure data quality.

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 Data Engineer, you will manage the data platform infrastructure, collaborate with AI teams, lead projects, and ensure high engineering standards.

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.

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 Risk & Compliance Data Analyst, you'll develop data extracts, optimize workflows, design dashboards, create Python applications, and enhance compliance processes.

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