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Data Engineer Job Opening In Puteaux – Now Hiring AXA Group


Job description

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…

DISCOVER your opportunity

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.


    Votre Profil

    SHARE your unique expertise

    We welcome various combinations of skills and experiences.

    Education & Experience

  • Master’s degree in Computer Science, Engineering, Mathematics, or related field
  • 5+ years in large-scale data projects (Data Lake, Hadoop/Spark, BI, ETL)
  • Proven experience with data modeling, API design, and Azure cloud solutions
  • Strong background in data management: MDM, metadata, data quality, analytics, data exchanges
  • Experience leading global projects
  • Technical Skills

  • Spark (preferably Databricks), strong Python skills
  • Data formats: Avro, Parquet, JSON, CSV
  • API design & management
  • Kubernetes / Docker, Git, CI/CD (Azure DevOps)
  • Azure Cloud: infrastructure as code, security practices
  • Nice to Have

  • Azure tools: Data Factory, Functions, Cognitive Services, Event Hub
  • Rust, Scala, Jupyter stack
  • Bitemporal data handling
  • Exposure to Machine Learning / AI
  • Soft Skills

  • Strategic thinking, strong analytical/problem-solving abilities
  • Cross-functional collaboration with business and technical teams
  • Leadership, autonomy, and results-driven mindset

  • A propos d'AXA

    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


    A propos de notre entité

    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.

    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.


    Required Skill Profession

    Librarians, Curators, And Archivists


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


    Real-time Data Engineer Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Puteaux, France, highlighting market share and opportunities for professionals in Data Engineer roles.

    5731 Jobs in France
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    59 Jobs in Puteaux
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    Download Data Engineer Jobs Trends in Puteaux and France

    Are You Looking for Data Engineer Job?

    Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AXA Group adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying France laws and regulations

    What Is the Average Salary Range for Data Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Puteaux. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Interview Tips for Data Engineer Job Success

    AXA Group interview tips for Data Engineer

    Here are some tips to help you prepare for and ace your Data Engineer job interview:

    Before the Interview:

    Research: Learn about the AXA Group's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

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    Be Honest: Don't exaggerate your skills or experience.

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