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AXA

Global insurer offering life, property, casualty

Lead Data Engineer - Nouvelles variables, f/h

Data EngineeringConfirmed live in the last 24 hours
Full-timeSuresnes, France

About the Job

Requirements

  • A completed engineering-school qualification or Bac+5 training in computer science, data engineering, data science, or an equivalent field, and at least 5 years of professional data engineering experience on data products in production.
  • Proficiency with Databricks, Python, Spark, and SQL, and experience designing distributed pipelines.
  • Ability to use Pandas and Polars according to use case and data-volume constraints.
  • Experience with Azure services, particularly Azure Data Factory and Azure DevOps, as well as Git, continuous integration and continuous delivery, automated testing, and MLOps practices.
  • Expertise in data quality, observability, modeling, performance optimization, and large-scale data processing.
  • Ability to analyze, interpret, and understand business meaning in data in order to propose relevant solutions.

Responsibilities

  • Own the technical data engineering scope of the team and define its technical direction in coordination with the Data Manager, Data Scientist, and partner teams.
  • Lead the technical vision and serve as the reference for architecture, modeling, and industrialization choices.
  • Define and promote development, software quality, and MLOps best practices from design through deployment and production maintenance.
  • Provide technical support to data, actuarial, and software teams, share best practices, and contribute to technical decisions.
  • Identify technical debt, anticipate maintainability risks, and propose a continuous-improvement roadmap.
  • Design, develop, and maintain robust, performant, reusable data pipelines.
  • Industrialize the preparation, transformation, historization, and availability of data needed to study and use new variables.
  • Contribute to building and feeding the Feature Store, central criteria databases, and repricing databases.
  • Ensure solutions are integrated into the company data ecosystem and can be operated in production.
  • Develop advanced technical and business controls to ensure the reliability of data and variables used in production.
  • Analyze value distributions, consistency, changes over time, and potential breaks or drifts.
  • Implement indicators, alert mechanisms, and monitoring tools to quickly identify anomalies and assess their impacts.
  • Contribute to root-cause analysis and track corrective actions with the relevant teams.
  • Analyze and optimize the performance of data processing and pipelines, accounting for volumes, compute times, and costs.
  • Work with software teams to optimize calculation libraries and improve their performance, robustness, and scalability.
  • Design solutions that balance performance, readability, maintainability, and evolvability.
  • Explore, analyze, and interpret data to challenge its quality, consistency, and suitability for models and actuarial teams.
  • Translate business needs into relevant data solutions and clearly explain technical choices and their impacts.
  • Contribute to evaluating the feasibility and value of new data sources or variables in collaboration with data scientists and business experts.

Desired Qualifications

  • Knowledge of the insurance sector, pricing issues, or actuarial science.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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