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Top Data Engineer Jobs in France
You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.
As a Data Engineer at Ekimetrics, you will design and industrialize data pipelines, develop using modern data technologies, implement CI/CD processes, enhance your knowledge in Data Engineering and Data Science, and participate in R&D activities including technological monitoring and training.
As a Data Engineer at IPPON, you will develop data pipelines, collaborate with data scientists, deploy cloud infrastructures using infra-as-code tools, and contribute to community events. You should have expertise in frameworks like Spark, various programming languages, SQL systems, and Cloud technologies while delivering code in agile environments.
Design, build, and scale backend systems for algorithmically driven features in the Datadog app. Work on large-scale distributed systems and data-processing frameworks. Collaborate with data scientists and software engineers to enhance data science capabilities. Value simplicity and efficiency in data science services.
The Senior Software Engineer - Data Reliability will design and maintain infrastructure to support a growing number of customers, investigate performance issues, support owned services 24x7, automate operations, and collaborate on data models with developers. The role emphasizes high reliability and performance in a scalable environment.
As a Senior Data Engineer at Shippeo, you will build and maintain data pipelines and architectures to ensure data availability for Data Scientists and Analysts. You'll work with various technologies including Kafka, Airflow, Snowflake, Python, and Docker to optimize data operations and provide insights for enhancing delivery processes.
As a Data Engineer at Vaayu, you will transform customer data into standardized formats, contribute to improving transformation pipelines, and assist the team with customer data inquiries. Your role will be crucial in supporting the mission of reducing environmental impact through effective data handling.
The Senior Data Engineer at Scibids will develop and manage ETL jobs and ensure efficient data communication between partners and teams. Responsibilities include managing diverse data sources, contributing to the development of reverse ETL, and creating APIs for inter-team communications.
The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.
Join Dataiku as a Software Engineer to enhance their analytics platform, focusing on data integration, preparation, and transformation. Responsibilities include optimizing data processing engines, improving user experience, and supporting diverse databases. You'll collaborate with teams to understand customer needs and deliver effective solutions.
As a Software Engineer at Dataiku, you'll enhance data exploration features, improve chart capabilities, and optimize dashboards while collaborating with product teams to create high-quality visualizations and share insights.
As a Lead Data Engineer, you'll shape Ogury's data platform, working hands-on in building and maintaining data pipelines, ensuring data quality, and mentoring engineers. You will lead the execution of the data vision, enabling teams to make data-driven decisions and promoting best practices in data engineering.
The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.
As a Lead Software Engineer - Data, you'll build and lead a team responsible for implementing the company's data initiatives, focusing on scalable data architecture, overseeing data projects, and ensuring data quality and governance.
As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.
The AI Data Science Engineer will adapt large language models, analyze data, develop AI solutions, monitor performance, and stay updated on AI developments. This role requires collaboration with teams and rigorous documentation of processes and models.
Join our R&D team to enhance the data processing platform supporting the data pipelines of Criteo teams. Design, implement new features, resolve performance issues, and guide the platform's architectural evolution using open source innovations.
As a Senior Software Engineer on the data processing team, you will enhance a data processing platform used by Criteo teams, design and implement features, solve scalability issues, and migrate to newer frameworks while collaborating closely with other teams.
The Lead Data Engineer will guide a team in developing data pipelines and ensure the production and maintainability of data flows. They will collaborate with data scientists and deploy cloud infrastructures using Terraform and CloudFormation. The role involves participating in community events and improving data practices while delivering quality code.
The Senior Data Analyst at MyTraffic will manage end-to-end projects, develop custom solutions using Python and SQL, collaborate with clients to understand their needs, and work closely with product and sales teams to enhance service offerings. Responsibilities include project ownership, client engagement, and feedback integration.
The DevOps Engineer at QRT will maintain infrastructure and CI, deploy applications, and provide troubleshooting support. The role requires a deep understanding of DevOps principles and collaboration with development teams.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
The Lead Data Engineer will develop data pipelines and support industrialization efforts for data analysts and scientists, leveraging cloud technologies like AWS and GCP. Responsibilities include collaborating with internal teams, participating in data community events, and providing expertise in a fast-evolving domain.
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