Data Engineer Lead

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 Lea
d
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.

DIMENSION OF ROLE

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 AXAGO.

Technical expertise :

• 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.

Leadership :

• 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.

Communication :

• Collaborate effectively with stakeholders to understand requirements and translate them into technical solutions.
• Communicate technical concepts to non-technical stakeholders in a clear and understandable manner.

Problem-solving :

• Troubleshoot and debug issues on the platform and propose solutions for their resolution.

Strategic thinking :

• 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.

Expertise on Cockpit Data Factory

• Platform 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-effectivess.
• 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.

Build of Data aggregation, analysis and reporitng

• 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.

Transformation/ Innovation

• 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.

Y
our Profile :

MANAGENRIAL SKILS :

• Leadership, team spirit, coordinating international teams (Offshore/ Nearshore)
• Communication / Presentation / Negotiation / Influence / Persuasion

TECHNICAL SKILLS :

• S
  trong understanding of Data Eng
  in
  eering tools, techniques, and metholodogies
• Strong
  experience in Databricks, Azure Data Lake, PySpark, Azure Analysis Services
  . A certification is appreciated.
• Python scripting, knowledge of data integration tools.
• Familiarity with cloud computin
  g environments and emerging trends in the industry.
• Strong general knowledge in IT and data architecture, from data ingestion to visualization.

NON-TECHNICAL SKILLS :

• Project and solution delivery according to the project organization (Cycle V, AGILE, Scrum,Kanban, DevOps)
• Knowledge in
  compliance, security, and data privacy aspects.

LANGUAGE SKILLS:

• English (Fluent)