Top Data Engineer Jobs in France

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.

The Principal Data Engineer will improve data pipeline architecture, optimize data flows, and support data projects for various teams in the company.

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 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.

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.

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.

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.

As a Software Engineer, you will manage data collection, enhance cloud infrastructure for data ingestion, and collaborate with AI Scientists to improve data quality and efficiency.

Own and evolve Enode's data platform and pipelines to support the Flex product: build reliable datasets, ensure data quality and monitoring, enable self-serve analytics, and partner with data science on feature pipelines and model readiness. Drive pragmatic platform improvements, documentation, and tooling to scale data reliability and trust across delivery, billing, and reporting.

Lead delivery of end-to-end data and analytics solutions: build dimensional models, develop Power BI dashboards, perform exploratory analysis, design Azure-based data pipelines, capture client requirements, run scenario modelling, test and assure solutions, prepare client communications and lead project teams.

Lead data and analytics projects: design dimensional models, build Power BI dashboards, run exploratory analysis, capture client requirements, develop end-to-end data pipelines on Azure, test and assure solutions, support client decision-making, and contribute to business generation and people development.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

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.

Lead technical solution architecture and application engineering for data center automation using robotics and partner technologies. Support presales, shape proposals, drive system integration, and ensure smooth transition from concept to execution. Capture feedback to improve standardized solutions and contribute to next-generation, AI-enabled automation concepts.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

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

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