Data engineer h/f

Le Groupe AXA est un leader mondial de l'assurance et de la gestion d'actifs, avec 160 000 collaborateurs au service de 105 millions de clients dans 62 pays.
Nous protégeons et conseillons nos clients à chaque étape de leur vie, en proposant des produits et services qui répondent à leurs besoins dans les domaines de l'assurance, de la prévoyance, de l'épargne et de la gestion des actifs.

Notre mission : Agir pour le progrès humain en protégeant ce qui compte

Nos valeurs : Customer first, Intégrité, Courage et One AXA

Grâce à notre approche de conviction, nous sélectionnons les investissements en actions, obligations, alternatifs et dans les stratégies multi-actifs qui recèlent selon nous des meilleures opportunités à l'échelle internationale. Nous gérons à ce jour plus de 887 milliards d'Euros d'actifs.

Page d'accueil AXA IM FR (axa-im.fr)

AXA IM est un employeur garantissant l'égalité des chances et nous encourageons les candidats présentant un handicap ou toute autre caractéristique protégée à postuler. Nous nous engageons à fournir des aménagements raisonnables si nécessaires aux candidats qualifiés et aux employés handicapés pendant le processus de recrutement et dans l'exercice de leurs fonctions professionnelles essentielles.

Inclusion and Diversity Careers AXA IM Corporate (axa-im.com) AXA IM is an international asset manager and part of the AXA group, a global leader in insurance. Our team includes a wide range of skills and experiences to better meet our clients' needs.

As part of its Data strategy, AXA IM has built a very successful/state of the heart Data Product Factory. About 10+ various Data Product squads from different domains (Data Referential, Responsible Investment, Quant & Research, Finance, Digital, Front office, Operations, Trading, Performance&Reporting etc.) are building their own data product suite and leveraging the data families produced and maintained by others. The platform offers Data Pipeline industrialization, Data Science, Exploration, Visualization for our internal customers and other AXA Entities.

The platform has still a lot of key components to build, and IT is an exciting time to join us either to build the platform or to participate to our ambitious programs.

As a Data Engineer, you will join the Data Platform Core team responsible for designing, implementing, and running cloud-native data solutions. You will either integrate the core team of 4 experienced data, cloud or DEVOPS engineers to build industrialised patterns or core infrastructure component or you will join one of our Data Domain oriented to service business needs on specialized use cases such as ESG, Data Science, Signals, Risk, Quantitative Data Sourcing, Data Referentials, Reporting

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Key responsibilities
- Industrialize our ingestion patterns on our Azure Cloud / Databricks solution, using state-of-the art technologies (Spark 3, Azure Cognitive Services, Azure Event Hub, Docker, Azure Pipelines, Scala, Python)
- Help with the onboarding of new product squads directly on the new cloud Data Platform or participate to one those implement business Data strategies build new Datasets from internal and external Data
- Monitor and enhance the performance and utilization of clusters and FinOps, ensuring efficient resource management and cost optimization
- Design, build and maintain common patterns such as CI/CD Pipelines, shared libraries (data pipeline development, data quality, data lineage) and shared services (API's, data viz, monitoring, scheduler)
- Support a community of data engineers and data scientists by understanding their problems and answering their questions and help them write the solutions on the Data Platform
- Participate to the build of our Data Science platform
- Participate to the data onboarding of third-party data providers such as Bloomberg or internal applications
- Build a research environment for our Quants

You will get a better understanding of the development cycle of/on big data platform shared by many teams and learn how to find efficient solutions to their common challenges.