Consultant - Data Modeler

About AXA As one of the largest global insurers, our purpose is to act for human progress by protecting what matters . Protection has always been at the core of our business, helping individuals, businesses and societies to thrive. And AXA has always been a leader, an innovator, an entrepreneurial company, fostering progress in all its dimensions. Our purpose also links back to the Group's roots. From the outset, AXA has been committed to acting as a force for collective good. From solidarity-based actions with AXA Hearts In Action to work on prevention issues with the AXA Research Fund and the fight against climate change, AXA has always been attentive to its social environment and embraced its responsibility as an insurer: responsibility for taking action upstream in order to better understand risks, with one goal in mind: to ensure better protection. Our values reflect the culture that the Group’s teams around the world live and express each day. The strength of AXA’s company culture and its outstanding managerial continuity over more than 40 years can also be seen in the proximity of its values across the various periods. Courage, Integrity, One AXA and Customer First are the four core values adopted by the Group since 2016. Our Vision is to transform AXA’s value proposition “from payer to partner” , by delivering new services complementing the traditional insurance coverage and by building new business models to increase the protection of our customers. Key accountabilities: As a Data technical lead, you will be accountable for: Understanding operational needs by collaborating with specialized teams Supporting key AXA business operations. This involves in supporting architecture designing and improvements, Understanding Data integrity and Building Data Models, Designing and implementing agile, scalable, and cost efficiency solution. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries. Technical and professional skills: We are looking for a flexible, fast learning, technically strong Snr. Data Modeler. Expertise is required in the following fields: Proficient in Data Modelling Analytical approaches using IE or other common Notations. Strong hands-on experience on SQL Scripting Hands-on Expertise in Entity Relationship, Dimensional and NOSQL Modelling Familiarity with manipulating dataset using Python. Exposure of Azure Cloud Services (Azure Data Factory, Azure Devops and Databricks) Exposure to UML Tool like Ervin/Visio Familiarity with tools such as Azure DevOps, Jira and GitHub Experience leading agile scrum, sprint planning and review sessions. Soft skills and competencies: Good communication skills to coordinate between business stakeholders & engineers. Strong results-orientation and time management True team player who is comfortable working in a global team Ability to establish relationships with stakeholders quickly in order to collaborate on use cases Autonomy, curiosity and innovation capability Comfortable working in a multidisciplinary team within a fast-paced environment. Background and experience: Bachelor’s/master's degree in computer science or related field 6-8 years of experience in Data Modelling .