Data Engineering Lead W/M

As a world-leading insurance company, we act for human progress by protecting what matters. With 153,000 employees in 54 countries working for 105 million customers, we’ve created a truly dynamic and vibrant community. Inclusion and diversity link closely with our values, and together we’re nurturing a culture of respect, for each other, for our customers and the communities around us. Join AXA and you’ll feel like you belong, are included and can thrive. You’ll be able to shape the way you work and truly grow your potential as you seek out new opportunities, push boundaries and benefit people in critical moments of their lives. This is your chance to build the tomorrow you want. Know you can.

About The Entity

AXA is becoming a sustainable tech-led company and at AXA Group Operations we are one of the major catalysts for this transformation.

We set the tone by triggering and empowering the evolution of our insurance business model through technology and innovation, driving its concrete implementation globally at speed, with a high quality of advisory and execution.

We are present across 17 countries with committed, highly qualified teams. We leverage technology, data, sourcing, security and investment allocation in a global way, but also achieve economies of scale and synergies when necessary.

At AXA Group Operations, we want to be recognized in three fields of action:

• State-of-the-art Data Technology to drive customer experience
• State-of-the-art Procurement & Sourcing to drive efficiency and better manage risks
• High-Performing Global Team for stronger partnerships with AXA entities

The division

Group Technology Operations (GTO) aims at designing, developing, and operating Global AXA IT products, delivering them to AXA Entities and the AXA Group, at the right level of quality of service and cost and aligned with business-driven priorities. Its missions can be summarized in four main activities: global product delivery, global product portfolio management, day-to-day operations management, and entities proximity management.

The department / team

You will join the Global Service Operations Departement, within Group Technology Operations (GTO) Division.

Our department manages day-to-day IT service delivery for AXA on a global scale, in partnership with Group Operations (GO) Global Products Departments, AXA Entities and our external suppliers, in accordance with GO IT Operations Framework, contract requirements, SLAs (Service Level Agreement) and OLAs (Operational Level Agreements) and Security Instructions.

About The Job

Main missions :

• The Data Engineering Lead is responsible for developing, maintaining, and optimizing data pipelines and technical components of the Cockpit Data Factory.
• This role involves collaborating with various teams to ensure that data factory aligns with the product vision, customer needs, and market trends.
• The Data Engineering Lead designs, develops, and implements data ingestion, transformation, and storage solutions, ensuring they are secure, scalable, and easily maintainable.
• They understand stakeholders’ requirements and translate them into technical solutions, identifying opportunities to optimize and improve data processes.
• The Data Engineering Lead contributes to the technical readiness of the Cockpit team, sharing his knowledge and identifying rooms for collective improvement.

• 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.

• In-depth technical knowledge of Data Engineering tools and technologies (e.g., Databricks, Azure Data Lake, PySpark, Azure Analysis Services).
• Ability to design and implement data solutions that meet stakeholder needs and are secure, scalable, and easily maintainable.
• Expertise in PowerBI data visualization tool
• Knowledge of performance monitoring tolls is well appreciated.

• Lead a team of data specialists to implement projects, improvements, and modifications to data solutions.
• Provide technical guidance and oversight to ensure that projects are completed on time, within scope, and to the required standard.
• Foster a culture of innovation and continuous improvement within the team.

• Collaborate effectively with stakeholders (including business analysts, project managers, and other technical teams) to understand requirements and translate them into technical solutions.
• Communicate technical concepts to non-technical stakeholders in a clear and understandable manner.
• Work collaboratively with other teams and individuals to achieve common objectives and resolve cross-functional issues that arise.

• Proactive identification of potential issues and their resolution, including researching and testing solutions.
• Analyze complex technical problems and provide practical solutions.
• Troubleshoot and debug issues on the platform and propose solutions for their resolution.

• Provide input in data strategy and long-term planning and identify areas for optimization and improvement.
• Conduct analysis to inform evidence-based decision-making and promote continuous improvement of data solutions.
• Able to balance business goals with technical feasibility.

• Coach and mentor junior team members to ensure they can meet technical objectives and grow professionally.
• Create and lead training programs on Data Engineering tools and technologies.
• Foster a culture of knowledge sharing and documentation.  

• Lead technical activities related to data pipeline delivery.
• Define and implement data pipeline configurations.
• Maintain up-to-date documentation (design, architecture & procedures).
• Regularly review and optimize data pipeline performance to ensure optimal usage of resources and cost-effectiveness.
• Implement upgrades, patches, and other enhancements.
• Contribute to the definition and the roadmap of data solutions.
• Ensure the application of security, risk, and data privacy compliance.
• Communicate with data tool vendors.

• Assess GO and Opcos’ products’ needs in terms of data management and processing.
• Design and implement appropriate data solutions to onboard new scopes to Cockpit Data Factory
• Contribute to the end-to-end data view by providing metrics and insights related to covered scopes.

• Contribute to building the data solutions roadmap in line with Global Product’s vision and with AXA GO strategy and priorities.
• Perform continuous improvement and market/technology watch.
• Apply IT transformation in line with GO priorities (Agile, Digital).
• Participate in different transformation and accelerator initiatives or programs.

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.

• 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

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

We bring together the expertise, cultural diversity and creativity of over 8,000 employees worldwide and we’re committed to equal opportunities in all aspects of employment (gender, LGBT+, disabled persons, or people of different origins) and to promoting Diversity & Inclusion by creating a work environment where all employees are treated with dignity and respect, and where individual differences are valued.