Top Data Engineer Jobs in Paris

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.

Design, build, and maintain end-to-end data pipelines and the group Lakehouse; improve governance, data quality and pseudonymization; implement visualizations (Power BI/Databricks SQL); and prototype generative AI solutions to convert text queries into insights while collaborating internationally.

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.

Design, implement and maintain scalable cloud data pipelines and ETL/ELT processes, build data models and ML workflows, ensure data quality and governance, automate ingestion and monitoring, collaborate with cross-functional teams, and apply CI/CD, containerized deployments and infrastructure-as-code best practices.

The Software Engineer will enhance the data ingestion pipeline, collaborating with scientists for model training and data optimization, while managing cloud infrastructure.

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 and develop cloud-native backend services in Rust to process terabytes of data daily. Build and operate data-intensive microservices on AWS and Kubernetes, integrate with distributed databases and messaging systems (Kafka/RabbitMQ), and collaborate across teams to deliver observability features.

Build and operate large-scale data pipelines and orchestration for generative AI research, focusing on video/audio datasets, feature extraction, labeling, and dataset quality to improve model performance.

As a Senior Software Engineer, you'll design and build scalable market data systems, improve API architecture, and enhance overall system performance, contributing to Alpaca's infrastructure for trading financial assets.

Design, build, and maintain production ELT pipelines for high-volume streaming spatial and telemetry data. Architect Databricks/AWS schemas for ultra-low latency and zero-data-loss. Develop and optimize a central semantic layer using Cube.js for reliable data consumption. Ensure LLM-agent friendly semantic modeling, automation of pipeline unit tests, and package integration blueprints for Professional Services.

Build and operate Qonto's data governance framework for banking compliance: define quality rules, implement dbt tests and source controls, monitor and remediate data issues, drive adoption of governance tooling, and automate governance workflows leveraging AI to ensure traceable, audit-ready reporting.

The MES Integration Engineer will manage the deployment and configuration of a Manufacturing Execution System for quantum chip fabrication, focusing on integrating fabrication processes and data management in an R&D environment.

The Research Engineer will build and scale data infrastructure, architect multi-cluster orchestration, and enhance storage systems for AI training platforms.

Design, operate, and improve Deezer's data ingestion and platform infrastructure. Maintain and monitor pipelines, support Airflow rollout, schedule GCP jobs on Spark and BigQuery, collaborate with stakeholders, and implement CI/CD, monitoring, and FinOps improvements.

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

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.

Own and evolve a GCP-native data platform from ingestion to reporting. Lead architecture, reliability, observability, data quality, cost optimization, and AI-assisted engineering practices while mentoring engineers and collaborating with product and customer teams.

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.

Design, develop, and deploy production-grade ML and AI solutions including LLM fine-tuning, RAG architectures, NLP pipelines, time-series forecasting, supplier risk and anomaly detection, scalable data pipelines, and RESTful integrations with enterprise systems.

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.