Top Data Engineer Jobs in France

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.

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.

The Data Engineer will build and maintain data infrastructure, collaborate with stakeholders, design data models, and implement data quality checks to support financial operations.

The Data Engineer/Analyst is responsible for maintaining and optimizing data infrastructure, ensuring data integrity, collaborating with teams, and enhancing data accessibility while supporting analytics and product development.

Build and own Python ML data pipelines, feature store design, and model serving infrastructure. Implement data quality and drift detection, establish reusable pipeline patterns, and operate production data systems to support ML training and inference.

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.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

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.

The IT/OT Data Engineer is responsible for data collection, architecture development, building data pipelines, and collaborating with data scientists to improve data reliability and efficiency.

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

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

Lead design and build of the scientific data foundation: model ontologies, harmonize ELN/LIMS/instrument data, create ETL/ELT pipelines, enforce metadata and traceability, and deliver dashboards to enable R&D decisions.

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.

As a Data Engineer, you will develop data pipelines, collaborate with data scientists, and deploy cloud infrastructures, while participating in community events.

As a Senior Data Engineer, you will design, build, and maintain robust data pipelines for large datasets, manage cloud infrastructure, and ensure data integrity while collaborating with cross-functional 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 Clinical Data Engineer will manage data pipelines for clinical studies, ensuring data integration and analysis for hardware validation and product accuracy. The role involves close collaboration across teams and requires expertise in data engineering, statistical modeling, and biometrics.

As a Data Engineer, you will develop data pipelines, support data scientists, deploy cloud infrastructure, and collaborate within the data community.

The Data Engineer will develop data pipelines, collaborate with data scientists, deploy cloud infrastructure, and contribute to community knowledge.

The Data Engineer will develop data platforms in the cloud, create data pipelines, collaborate with data scientists, and deploy infrastructures using infra-as-code.

Develop data pipelines, support data scientists, deploy cloud infrastructures, and engage in community events. Requires strong data engineering skills and collaboration.

As a Data Engineer, you will develop data pipelines, support data scientists, deploy cloud infrastructure as code, and participate in the data community.

Lead data engineering efforts, manage data governance, ensure compliance, and oversee data platform economics while designing scalable systems.