Job Description:

MANAGERIAL SKILLS

• Leadership and Team spirit
• Strategic Vision (Market watch, Product’s Technical Roadmap, Benchmark)
• Intrapreneurship
• Coordinating international teams (Offshore/Nearshore)
• Collaboration with GO departments, AXA entities, and external partners
• Communication / Presentation / Negotiation / Influence / Persuasion
• Continuous improvements and adopting innovations.

TECHNICAL SKILLS

• Strong understanding of Data Engineering tools, techniques, and methodologies.
• Strong experience in Databricks, Azure Data Lake, PySpark, Azure Analysis Services. A certification is appreciated.
• Python scripting, knowledge of data integration tools.
• Scrum Agile and DevOps methodology
• Project management skills.
• Familiarity with cloud computing environments and emerging trends in the industry.
• Strong general knowledge in IT and data architecture, from data ingestion to visualization.

NON-TECHNICAL SKILLS

• Product ownership for data platforms
• Project and solution delivery according to the project organization (Cycle V, AGILE, Scrum, Kanban, DevOps)
• Technology and market watch (Data Engineering, digital, big data)
• Knowledge in compliance, security, and data privacy aspects
• Nice to have: Insurance business

LANGUAGE SKILLS

• English (Fluent)
• French (Nice to have)
• Spanish (Nice to have)

• The Data Engineering Lead manages data pipelines and infrastructure, leading a team of data specialists and collaborating with counterparts from multiple AXA GO products and AXA entities.
• They ensure that all data requirements are met and contribute to answering data needs, fulfilling Quality of Service requirements in various AXA GO and Opcos business areas.Additionally, they contribute to increasing the maturity of GO and Opcos in terms of data management and quality of service measurement.Finally, they define the roadmap of Cockpit Data Factory in line with the vision of the product and the priorities of AXA GO.