Top Data Engineer Jobs in France

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

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

Design, build, and maintain scalable data pipelines and platform architecture for scientific and ML workloads. Model scientific entities, ensure data quality, provenance, lineage, observability, and enable self-service access. Collaborate with cross-functional teams, optimize cloud infrastructure, implement DataOps practices, and mentor engineers.

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

Founding Data Engineer to design, build and scale AI-first data pipelines and production systems for LLM-powered insurance workflows. Own ingestion, structured extraction, document processing, evaluation/monitoring, APIs and reliability to deliver production-grade AI products used by brokers.

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.

The Lead Data Engineer will develop data pipelines, support industrialization efforts, collaborate with teams, and engage in community events.

Lead and manage a data engineering team to develop and maintain data pipelines, collaborating with data scientists and ensuring code quality in agile environments.

The Software Engineer will manage data ingestion, enhance cloud infrastructure, collaborate on AI data roadmaps, and seek new audio data sources.

The Software Engineer will handle data collection for model training, manage cloud infrastructure on GCP, and collaborate with AI scientists to enhance data quality and efficiency. Responsibilities include sourcing audio data, extending ingestion pipelines, and planning for future datasets.

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.

Design and implement scalable features, build data pipelines, collaborate with cross-functional teams, and enhance data infrastructure for improved decision-making.

As a Senior Data Engineer, you will design and operate data platforms and pipelines on Google Cloud, enabling analytics and machine learning for quantum computing experiments.

Design, build and operate a next-generation data lake and associated tooling for AI/ML R&D. Develop APIs, data services, CI/CD and containerized deployments, manage large sensitive datasets with GDPR-compliant governance, and collaborate with ML, QA, product and DevOps teams.

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.

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.

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

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.

The role involves partnering with NGO clients to design solutions using Salesforce Marketing and Data Cloud, leading technical workshops, and delivering demonstrations while collaborating with sales teams.

As a Senior Data Engineer, you'll build and manage data pipelines, ensure data quality, and collaborate across teams, contributing to the Data Platform's growth.

As a DevOps Engineer, you will ensure the reliability, scalability, and performance of database platforms, automate operations, and support Kubernetes adoption, while collaborating with engineering and data teams.

Design, build, and maintain data lakes, pipelines, and ML services to process large datasets. Integrate multiple data sources, enable analytics, and support production ML deployments while collaborating across teams.

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.