Design, develop, and maintain robust, scalable, and well-documented data pipelines.
Collaborate with the Tech Lead to ensure quality, performance, and maintainability of Data products.
Optimize data processing and operational costs while working closely with Data Analysts and Scientists.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our 5,000 talents are committed to delivering tech and digital experiences across 110 countries, shaping the future of hospitality with a strong culture focused on development and sustainability.
Perform advanced Excel-based data management, including pivot tables and complex formulas.
Manage CRM database activities, including data updates and system maintenance.
Analyze large datasets to uncover trends and develop visual reports for stakeholders.
Jobgether uses AI-powered matching to connect candidates with hiring companies. It operates as a platform that processes applications and shares shortlists with employers.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Design and deploy agentic AI systems and LLM-based applications with a focus on scalability and reliability.
Build and optimize AI/ML models using Python, including prompt engineering and integration with modern LLM frameworks.
Work with large-scale enterprise data systems and databases such as SAP HANA, DB2, and SQL Server.
The company specializes in developing advanced AI systems and LLM-powered applications for enterprise data transformation. The team is collaborative and innovation-driven, focusing on cutting-edge AI research and engineering.
Participate in short voice conversations with AI models using a designated platform, following provided scenarios and prompts.
Evaluate AI responses based on relevance, accuracy, clarity, and overall quality, providing objective ratings and feedback.
Complete assigned tasks within established quality and productivity expectations, with a flexible schedule of 10+ hours per week.
RWS is a provider of technology-enabled language, content management, and intellectual property services. As an equal opportunity employer, they embrace diversity and inclusion, offering flexible remote work opportunities for freelancers and private individuals.