Notre métier, protéger les personnes, les biens et les actifs. Notre raison d’être, agir pour le progrès humain en protégeant ce qui compte.Cela vous parle ? Alors venez rejoindre 149 000 futurs collègues qui s’engagent au quotidien auprès de nos 95 millions de clients dans 50 pays à travers le monde. 

Votre environnement de travail

Le siège social du Groupe AXA (GIE AXA) regroupe nos activités corporate. Il assure le pilotage et le support des filiales dans le monde, afin de garantir notamment la coordination et le suivi de la stratégie globale d’AXA, l’application de ses standards, la cohérence des approches commerciales, et le partage des meilleures pratiques. 

Le siège est composé d’environ 1000 employés et se distingue par sa forte culture internationale (45 nationalités), ce qui en fait un espace de travail riche et stimulant.

C’est autour de la diversité et de l’unité que se construit AXA, c’est pourquoi nous nous engageons à promouvoir le succès collectif par l’inclusion.

Within the Group, you will join the Information Management team which is part of Group Performance Management Department within Group Finance.  Led by the Corporate Center Chief Data and AI Officer, Information Management team setup and deploy the Data strategy though (i) Data Governance and Data Quality Programs, (ii) efficient Data Architecture design, (iii) Data and AI services and (iv) Data Culture fostering. 

Within this Department, you will be part of the Data and AI Operation Services team, which is responsible for (i) organizing, optimizing, and operating the collection of transversal data, either external or internal (ii) optimizing their distribution, (iii) ensuring their quality and (iv) controlling the entire data lifecycle, from collection to operational use.

You will work hand in hand with Data Governance and Data Transformation teams prioritizing and implementing use cases to create value for the overall organization.

Your job and daily missions:

We are looking for a Data expert able to do both data engineering and data analyses to take part in the scaling of our data platform and support the team’s and company’s growth. Within the Data and AI Operation services team, you will work with the following objectives:

• Optimize and maintain our Data Lake (several terabytes) that collects, stores, and processes external and internal data, focusing on scalability and reliability:

o   Designing, automating, and managing data pipeline using Microsoft Azure and Databricks, to ensure seamless and efficient integration of data to meet internal client’s needs.

o   Controlling and managing the data entire lifecycle, from collection to operational use considering Group Security and GDPR policies

o   Ensuring the scalability, security, and availability of platform data

o   Carrying out a technological watch to be at the forefront of cloud & Data solutions

• Distribute data to final users ensuring expected data quality:

o   Modelling and analyzing data.

o   Industrialising and automating data cleansing aligned with final users’ specifications.

o   Creating datasets using PySpark

o   Managing, maintaining, and documenting the several data bases

o   Creating and automatising dashboards for final users  

• Explore and acquire new sources of data.  Using curiosity and creativity, this would involve using technology to automate data acquisition, ability to link new sources with internal data, and appropriate level of supporting documentation of the source and technical solution. 
• Providing the right context of data required for a given analysis. This would require working with data analysts to understand the business problems they are trying to solve and create data structures to feed into their analysis. 
• Build upon learnings of internal and external data to become more proactive.  This includes thinking ahead of what internal clients will anticipate with their data needs and designing structures that are intuitive to use.
• Ensuring quality and understanding of analytical data.  This would require hands on data experience to investigate data issues and seek to resolution or acceptance.  Create the appropriate amount of documentation, leverage standards and build upon them.  Data should be reconciled and documented at various stages for integrity.
• Participate in developing governance and rigor of data management practice within the Data Operation Team.  This will also include partnering with other IT groups and involvement in other data related functions.

Vous rejoignez une entreprise :

-    Responsable, vis-à-vis des personnes, y compris ses employés et ses clients, et de la planète. -    Aux valeurs fortes-    Qui encourage la mobilité interne, et la formation de ses employés-    Qui vous offre de nombreux avantages (en savoir plus ici : Reward & Benefits - french | AXA Group)-    Flexible, qui permet le travail hybride, au bureau et à la maison.

Les informations fournies par les candidat(e)s seront traitées de manière strictement confidentielle et utilisées uniquement à des fins de recrutement.

Let’s talk about you:

We are looking for someone who has the following abilities and skills:

TECHNICAL AND PROFESSIONAL SKILLS: 

•   Fluency in English, verbal and written.
• Programming Languages: Spark, Python, SQL
• Cloud Platforms: Microsoft Azure, or AWS, or GCP
• Tools: Azure Data Factory (ADF), Databricks, Azure DevOps, Git, JIRA, etc.
•  Microsoft AZURE Data engineer certification (DP 203) is a plus.

SOFT SKILLS AND COMPETENCIES:

• Good organizational skills,
• Detail orientated, proven ability to recognize patterns in data.
• Possesses natural curiosity.  Seek to understand the world around you, question when appropriate.
• Excellent people skills: communicative and open to new challenges
• Ability to work with teams globally located and from multidisciplinary domains.

BACKGROUND & EXPERIENCE:

• Graduate degree in information systems, informatics, computer science, engineering, statistics, mathematics, actuarial science or equivalent
• 1-3 years’ experience working as a developer/Engineer with ideally operational experience in Data platforms among which Master Data Management, BI & Analytics (data warehousing, big data, data science), integration services, Data storage solutions.
• Preference of experience in Insurance domain.
• Project Management experience is a plus.