Top Data Engineer Jobs in Paris

The Senior Software Engineer will scale the Supplier Data Manager for enterprise customers, enhance AI-driven data pipelines, and improve collaboration features while ensuring operational excellence and customer-driven product development.

As a Data Analytics Engineer intern, you'll transform raw data into actionable insights, collaborate with stakeholders, and develop data models and dashboards to track performance indicators.

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

As a Data Engineer at Dedale, you will manage data governance, architecture, and pipelines, ensuring data quality and supporting analytics and AI initiatives in a high-impact role.

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.

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.

The Data Engineer will build and manage scalable data infrastructure, develop reliable data pipelines, ensure data quality and monitoring, and support AI deployments, collaborating with analysts and stakeholders.

As a Data Engineer, build and optimize high-performance data infrastructures for deep learning by managing large volumes of raw video data, ensuring efficient processing pipelines and data quality.

Design, build, and maintain scalable data pipelines. Optimize workflows on Databricks and Snowflake, ensuring data security and governance while preparing for AI/ML use cases.

Develop and maintain data models and ETL pipelines, collaborate with teams for delivering high-quality data solutions, ensure data consistency and quality, and participate in Agile development processes.

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 a Data Engineer at Homa, you'll build and scale the data platform, create reliable data pipelines, contribute to AI products, and enable data access across teams.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

As a Data Analyst, you will analyze data to drive insights, create reports and dashboards, and collaborate with teams to optimize product 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 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.

Lead SRE for Edenred's Data & AI platform: define and operate SRE standards, observability, FinOps, incident and service management; co-own CI/CD and architecture; act as player-coach to improve reliability and run critical systems.

The BI Developer will create business intelligence solutions, mentor analysts, develop APIs in Python, and collaborate with teams to improve data-driven decisions.

The Senior Data Engineer will design and develop data platforms, manage large-scale financial datasets, and optimize data solutions to ensure analysis readiness for quantitative research and trading.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Design and implement data pipelines, optimize data models, automate data ingestion, and enforce data quality in cloud environments, leveraging AI technologies and collaboration across teams.

Build and maintain GTM systems and data pipelines: design data models, develop internal FastAPI/React apps, lead an OpenAI Agent-based GTM AI layer, drive architecture and CI improvements, perform code reviews, and collaborate with Sales, RevOps, Data, and R&D to increase adoption and reliability.

The Senior Data Engineer will manage offline and online ML architecture, building data pipelines, and ensure low-latency feature processing while collaborating with data scientists and engineers.

The Senior Data Engineer will build and maintain data pipelines, distributed ETL/ELT workflows, and data storage systems while collaborating with various teams to optimize data quality and performance.

The Data 360 Solution Engineer/Architect collaborates with clients on solutions for data and analytics, guiding from presales to deployment, leveraging Salesforce tools and platforms.