Data Engineer
Build, maintain, and improve the data platform used across the company to enable data-driven decision-making. Collaborate with technical and non-technical teams to develop reliable data solutions and manage core data infrastructure.
35 Data Engineer jobs in France available for remote work from home. Apply for positions such as Data Engineer, Data Engineer, Data Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Build, maintain, and improve the data platform used across the company to enable data-driven decision-making. Collaborate with technical and non-technical teams to develop reliable data solutions and manage core data infrastructure.
You will design, build, and maintain scalable data platforms and automated pipelines to support product and business teams. Additionally, you will define technical standards, ensure data quality and observability, and collaborate on strategic architecture decisions.
Design and build batch and near-real-time data pipelines using PySpark and Databricks within a medallion architecture. You will architect efficient Delta Lake schemas and collaborate with product teams to translate requirements into reliable data enrichment workflows.
Design, build, and maintain reliable batch and near-real-time data pipelines for critical payment and consumer data domains. Define and enforce data contracts, governance, and privacy-by-design principles while optimizing storage and compute performance.
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You will lead the transformation of the data platform into an AI-native foundation, transitioning from batch to streaming architectures. You will also build data products consumable by AI agents and business users while establishing engineering standards and best practices.
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery for model-training and real-time inference. Oversee vector data stores and implement AI-backed analytics solutions to enable advanced search and retrieval patterns.
You will lead the design and scaling of the data platform that powers AI-driven vegetation analysis for utility grids. This involves architecting orchestration layers, building production-grade pipelines, and driving the transition to a service-oriented architecture.
The Senior Data Engineer will own the end-to-end data pipeline architecture, connecting paid media platforms and CRMs into a centralized BigQuery warehouse. They are responsible for building modular transformation pipelines, ensuring data quality, and enabling performant reporting for marketing teams.
You will design and build ELT pipelines to move data from terminal operating systems into a centralized Azure-based platform. Additionally, you will develop transformation layers and maintain a standardized data model to ensure data quality and consistency across global terminals.
You will own the full lifecycle of data products, collaborating with Data Scientists to bring real-time pricing algorithms to production. You will also architect data pipelines, manage infrastructure, and lead cross-team efforts to scale ML development and deployment.
Lead and review the electrical design of hyperscale and mission-critical data centres across all project phases while managing multidisciplinary external consultants. Oversee utility coordination, permitting, and integrated systems testing to ensure project delivery meets design intent and operational requirements.
You will build and maintain end-to-end features for the Kestra orchestration platform, spanning from the Java backend to the Vue 3 frontend. Additionally, you will collaborate with the product team to develop data-aware orchestration tools and improve integrations with modern data stack technologies.
You will lead the mechanical engineering evaluation of prospective data center sites, including cooling capacity analysis and equipment feasibility reviews. You will also partner with cross-functional teams to define mechanical strategies and ensure technical readiness before construction begins.
You will lead electrical due diligence, utility interconnection analysis, and equipment feasibility reviews to inform strategic infrastructure acquisition decisions. Additionally, you will coordinate with cross-functional teams to define power distribution topologies and ensure construction readiness for AI cloud infrastructure.
Construct and manage robust data pipelines to support evolving business needs while maintaining production code. Collaborate with cross-functional teams including back-end, data science, and product to drive architecture design and feature implementation.
Build and grow the company's Data Warehouse by developing ETL/ELT pipelines and modeling payment and product data. Create clear dashboards for business teams and implement data validation tests to ensure reliable reporting.
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Design and optimize end-to-end data architectures on Microsoft Fabric and Azure, managing the entire data value chain from ingestion to exposure. Provide technical leadership through mentoring, code reviews, and contributing to pre-sales activities and internal practice growth.
Design and develop solutions for data collection, storage, and modeling to ensure high data quality and accessibility for analysts and scientists. Contribute to Big Data cluster standards, data policies, and maintain technological watch on programming languages.
Develop and maintain client use cases using GCP Big Data and Cloud infrastructure while ensuring data security and compliance. Contribute to the internal community through solution benchmarking, Proof of Concepts, and knowledge sharing.
Design and develop solutions for data collection, storage, and modeling while ensuring data quality and accessibility for analysts and scientists. Lead technical teams, manage code quality, and participate in pre-sales and client technical solutions.
Design and develop solutions for data collection, storage, and modeling while ensuring data quality and accessibility for analysts and scientists. Lead technical teams, manage code quality, and participate in pre-sales activities and client technical solutions.
Build and maintain resilient streaming and batch data pipelines to ingest, normalize, and distribute market and trading data. Develop self-serve tooling and data governance frameworks to ensure high-quality, observable, and performant data products across the organization.
You will define the architecture for the data platform and lead the design of scalable, low-latency pipelines for high-volume payment transactions. Additionally, you will mentor senior engineers and partner with cross-functional teams to ensure data reliability and business value.
The Solutions Engineer will collaborate with field sellers to evangelize the Vault product, providing technical expertise and architectural guidance to customers and partners. They will lead architecture reviews, resilience assessments, and strategic advisory sessions to ensure secure data recovery and operational readiness.
You will architect and maintain scalable data schemas and storage solutions to support high-performance AI workloads in biology. Additionally, you will design clean APIs and collaborate with researchers to ensure data systems are reliable, accessible, and performant.
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You will build, operate, and secure data pipelines that transport healthcare data from production services to internal and external users. Additionally, you will manage infrastructure as code, ensure data quality through observability, and collaborate with product squads to industrialize data models.
The Staff Data Security Engineer will design and implement enterprise data protection capabilities across Microsoft 365, endpoints, and cloud platforms. This role involves collaborating with cross-functional teams to identify, classify, and secure sensitive data while managing DLP policies and DSPM tooling.
Design and implement full-stack features for the Data Intelligence Platform while leveraging AI tools to accelerate development and improve code quality. Collaborate with product managers and team members to ensure stable, scalable, and maintainable production-grade solutions.
Design and build large-scale data center network systems focusing on leaf-spine architecture and multi-tenant AI infrastructure. Develop reliable control-plane software and automation workflows to manage network state and recover from failures.
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