Top Data Engineer Jobs in France

Design, build, and operate high-volume streaming and batch ingestion pipelines for cardiac device data in a regulated HealthTech environment. Own workflow orchestration, data modeling, warehousing, quality, traceability, observability, deployments, incident response, and on-call operations. Collaborate with Analytics, Product, and Engineering teams while contributing to technical decisions and modernizing the orchestration platform with Temporal.

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

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

Design, build, and maintain a scalable data platform and ELT pipelines; model data in Snowflake; ingest from PostgreSQL, Elasticsearch and third-party APIs; power BI and product analytics; ensure data quality and governance; collaborate with stakeholders and mentor other engineers.

Design and implement a scalable, real-time data architecture to ingest public data sources, map exposed secrets to organizations, and analyze impact. Lead production deployments, monitoring, and maintenance while mentoring engineers, collaborating with backend/ML/Data teams, and driving roadmap and architectural decisions.

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 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, build, and scale high-performance data pipelines and infrastructure (ingestion, transformation, storage, modeling, serving) using ClickHouse, Postgres, Python and dbt. Manage data quality, reliability, and observability at terabyte and 500M+ address scale, collaborate with researchers and product, mentor engineers, and leverage AI tools to accelerate work.

Lead Finance data engineering: own end-to-end pipelines for financial and regulatory processes (IFRS 17), ensure scalability, auditability, quality and governance, design large-scale processing, document lineage and models, provide hands-on technical leadership, mentor engineers, and collaborate with finance, actuarial, risk and AI stakeholders to evolve data engineering practices for analytics and AI.

Own and evolve the core data platform: warehouse design, dbt transformations, and production AWS pipelines. Refactor and harden API-driven data flows, ensure observability and testing, partner with backend and product teams, and contribute to data-aware backend features to deliver reliable, product-focused data.

Build and operate the data and ML platform for non-invasive neural interfaces: ingest, version, process, and serve large-scale neural data; create dataset pipelines, distributed training, experiment tracking, model deployment, and tooling; manage cloud and GPU compute; improve data quality, metadata, monitoring, and reproducibility; collaborate with ML engineers, neuroscientists, software engineers, and product teams.

Design, build, and maintain scalable, reliable data pipelines and architectures for BeReal. Own projects end-to-end, contribute code to production, collaborate with backend, data science, product and marketing, and advocate best practices in data engineering.

Design, build, and maintain robust, scalable data pipelines; own projects end-to-end from scoping to production; collaborate with backend, data science, product and marketing; champion data engineering best practices and support analytics at scale.

Design, build, and operate robust production data pipelines and platforms; contribute code and maintain production systems; integrate AI/LLM tooling into platform workflows; own projects end-to-end from scoping to release; collaborate with engineering, data science, product, and marketing in an agile environment.

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.

As a Software Engineer at Polar Analytics, you will build core systems, manage data pipelines, and innovate solutions for eCommerce brands while engaging with users to improve reliability and performance.

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.

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.

Design and build highly scalable, low-latency market data systems and APIs. Implement backend services, influence architecture, maintain test coverage, participate in code reviews, troubleshoot incidents, and occasionally be on-call. Work spans streaming and historical market data endpoints and developer-focused API improvements.

Design and develop UWB, radar and camera-based data fusion algorithms and sensing features. Perform DSP analysis, feature extraction, algorithm optimization, AI model integration, end-to-end integration and validation, and cross-team collaboration for automotive sensing products.

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.

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.

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.