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.

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

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.

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.

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

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

Develop and maintain scalable data models, optimize ETL pipelines, and collaborate with product teams to deliver data-driven insights through robust data platforms.

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.

The Data Engineer is responsible for designing and maintaining data pipelines, managing data infrastructure on GCP, implementing data models, collaborating on ML projects, and ensuring security and governance of data systems.

The Data Engineer will build and maintain data infrastructure for the Too Good To Go platform, focusing on data ingestion, modeling, and operational support. Collaborating with cross-functional teams, this role emphasizes delivering quality data products and simplifying complex processes.

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

Design, build, and maintain data infrastructure; create scalable data pipelines; implement backend architectures; ensure data quality and integrity.

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.

The Data Engineer Intern will assist in building data pipelines, creating relational databases, and supporting data-driven solutions in the space sector.

The Senior Data Engineer will design and maintain data pipelines, ensure data reliability, build a data platform for R&D, and collaborate with cross-functional teams to provide actionable insights.

The Senior Data Engineer designs and maintains data pipelines, collaborates with stakeholders, ensures data quality, and contributes to best practices.

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.

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.

Responsible for data collection to support model training, finding new audio data sources, and operating the cloud infrastructure for ingestion pipelines.

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.

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 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.