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Data Engineer (H/F/N)

Company Description

Believe est l'un des leaders mondiaux du marché de la musique numérique. Believe a pour mission 
d’accompagner les artistes et les labels locaux dans l’écosystème digital en leur offrant des solutions à 
chaque étape de leur carrière et de leur développement. 
Ce sont plus de 2020 salariés dans plus de 50 pays qui accompagnent les artistes avec expertise, 
respect, équité et transparence. 
Afin de soutenir notre forte croissance sur tous les continents, nous sommes constamment à l’affût de 
nouveaux Believers. Rejoignez-nous afin qu’ensemble, nous ayons un impact fort et plus positif sur 
l’industrie musicale !
Believe est cotée sur le compartiment A du marché réglementé d’Euronext Paris (Ticker : BLV, ISIN : 
FR0014003FE9).
Ready to #setthetone with Believe?

Job Description

Contexte

Le Data Engineer intègre le Data Office de Believe sur le périmètre Data plateforme.

Il s’inscrit dans la démarche de Data At Scale pour étendre la Data plateforme actuelle à l’entièreté du groupe, filiales incluses.

Responsabilités

Directement rattaché à l’Engineering Manager Data Platform, le Data Engineer contribue au développement et à l’optimisation de la Data Platform.

À ce titre, il assure :

  • La conception et l’implémentation des pipelines de données.
  • L’optimisation des traitements et flux de données (batch et streaming).
  • La mise en place des bonnes pratiques de développement et d’exploitation.
  • La fiabilité et la performance de la Data Platform.

Missions

En collaboration avec l’Engineering Manager et l’équipe Data, il est en charge de :

Architecture & Développement

  • Développer et maintenir des architectures Data évolutives et scalables.
  • Mettre en place et optimiser les flux de données (ETL, ELT) en batch et streaming.
  • Participer à l’industrialisation des traitements de données.
  • Implémenter les bonnes pratiques DevOps & CI/CD (automatisation, tests, monitoring).
  • Assurer la performance et la résilience de la plateforme.

Collaboration & Support

  • Travailler en étroite collaboration avec les équipes Data Management, Tech, Product et Business.
  • Participer aux échanges techniques et contribuer à l’amélioration continue des solutions.
  • Documenter et partager les bonnes pratiques avec les autres membres de l’équipe.

Optimisation & Innovation

  • Suivre et optimiser les KPIs de la Data Platform (performance, coût, monitoring).
  • Contribuer à la veille technologique et à l’amélioration des architectures.
  • Être force de proposition pour optimiser les traitements et infrastructures.

Environnement Technique

  • Cloud & Infrastructure : AWS, Databricks, Snowflake
  • Big Data & Streaming : Spark, Kafka
  • Langages : Python, SQL, Java
  • Microservices & APIs : Architecture distribuée
  • DevOps & Observabilité : CI/CD, Monitoring, Observabilité

 

    Qualifications

    Qualifications & Expérience

    • Minimum 2 ans d’expérience en Data Engineering sur des plateformes Big Data.
    • Expérience sur Snowflake, avec un minimum de 2 ans en build et run.
    • Maîtrise des environnements cloud (AWS, Databricks, Snowflake).
    • Expérience dans un contexte agile et en forte croissance

     

    Soft Skills & Leadership

    • Bonnes capacités de communication et de collaboration avec des interlocuteurs techniques et métiers.
    • Esprit analytique et capacité à résoudre des problèmes complexes.
    • Curiosité et envie d’apprendre pour suivre les évolutions technologiques.
    • Capacité à travailler en équipe et à partager ses connaissances.
    • Anglais professionnel

    Additional Information

    SET THE TONE WITH US

    ​Chez Believe, nous avons deux cœurs : nos collaborateurs et nos artistes.​

    Nous croyons en la force de nos collaborateurs, qui s'épanouissent chaque jour en développant leur potentiel... Notre objectif est d'offrir à nos collaborateurs le meilleur environnement possible pour qu'ils puissent s'épanouir.​

     

    ROCK THE JOB ​

    • Programme de formation et de coaching sur-mesure ​

    • Une politique de télétravail​

    • Un programme de bien-être "Pauses" avec de nombreuses activités et animations​

    • Accès à Eutelmed, la plateforme numérique de santé mentale et de bien-être qui permet de parler à un psychologue expérimenté​

    • Un restaurant d'entreprise sain et éco-responsable​

    • Une assurance santé individuelle ou familiale​

    • Avantages CE ​

    • Un rooftop​

    • Une salle de sport avec des cours gratuits​

    SING IN HARMONY ​

    • Programme Ambassadeur : la possibilité pour tous les Believers de participer à des initiatives de bénévolat afin d'avoir un impact positif sur la diversité, l'équité et l'inclusion (DEI), le bien-être et la planète.​

    • Mise en place du Forfait mobilité durable: remboursement jusqu’à 600€ des frais de transport en commun/avec une faible empreinte carbone.​

    • Congé 2nd parent de 5 jours calendaires rémunérés à 100% (en plus du congé légal paternité ou du congé d’adoption, nous ne l’attribuons pas au congé maternité)​

    Believe s’engage à garantir l’égalité des chances en matière d’emploi, sans tenir compte de l’origine, du genre, de l’âge, de l’orientation sexuelle, de la religion ou de l’état de santé.​

    Average salary estimate

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    $60000K
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    What You Should Know About Data Engineer (H/F/N), Believe

    At Believe, we are on a vibrant quest to reshape the digital music landscape, and we’re seeking a passionate Data Engineer to join our Data Office team in beautiful Paris, France. With over 2,020 talented individuals across more than 50 countries, we are proud of our mission to support artists and local labels, providing them with innovative solutions to accelerate their careers. As a Data Engineer, you'll collaborate closely with the Engineering Manager of the Data Platform, contributing to the development and enhancement of our data ecosystem that serves the entire organization. You’ll dive into designing and implementing robust data pipelines, optimizing both batch and streaming processes while maintaining the integrity and performance of our platform. Your role will also involve fostering collaboration with teams across Data Management, Tech, and Product, ensuring that our data solutions are continuously refined and best practices are shared among peers. With a foundation built on curiosity and a passion for technology, you will have the opportunity to explore new tools and techniques while focusing on KPIs for performance optimization. If you thrive in a fast-paced and agile environment and possess essential skills in AWS, Snowflake, Spark, and modern scripting languages like Python, we want to hear from you. Join us at Believe, where together, we’ll make a significant impact on the music industry!

    Frequently Asked Questions (FAQs) for Data Engineer (H/F/N) Role at Believe
    What are the main responsibilities of a Data Engineer at Believe?

    As a Data Engineer at Believe, you will be responsible for designing and implementing data pipelines, optimizing data processing flows for both batch and streaming, and ensuring the reliability and performance of our Data Platform. Collaborating with various teams, you will also focus on the industrialization of data processing and maintaining best practices in development and operations.

    Join Rise to see the full answer
    What qualifications do I need to apply for the Data Engineer position at Believe?

    To apply for the Data Engineer role at Believe, you should have at least 2 years of experience in Data Engineering with proficiency in Big Data platforms, particularly Snowflake. Familiarity with AWS, Databricks, and tools like Spark and Kafka is essential. Additionally, strong communication skills and a collaborative approach are crucial for success in this position.

    Join Rise to see the full answer
    How does the Data Engineer role at Believe contribute to the company's mission?

    The Data Engineer role at Believe is vital in supporting our mission to empower artists and labels. By optimizing our data platforms and ensuring reliable data processing, you enable better data-driven decision-making and solutions that ultimately enhance the artist's experience and success in the digital music ecosystem.

    Join Rise to see the full answer
    What technical skills are important for a Data Engineer at Believe?

    Technical skills crucial for a Data Engineer at Believe include experience with cloud infrastructures like AWS, knowledge of data processing frameworks like Spark and Kafka, and proficiency in programming languages such as Python and SQL. Familiarity with CI/CD practices, DevOps methodologies, and data architecture will also be highly beneficial.

    Join Rise to see the full answer
    What is the company culture like for Data Engineers at Believe?

    At Believe, we foster a collaborative and innovative culture for our Data Engineers. We encourage knowledge sharing, continuous learning, and active participation in team discussions. Additionally, our employee well-being programs, community involvement initiatives, and a supportive work environment ensure that you can thrive personally and professionally.

    Join Rise to see the full answer
    Common Interview Questions for Data Engineer (H/F/N)
    Can you describe your experience with data pipeline design as a Data Engineer?

    In preparing your response, highlight specific projects where you've designed and implemented data pipelines, focusing on tools and techniques you used. Discuss the challenges encountered and how you optimized for performance and reliability in the data flow.

    Join Rise to see the full answer
    How do you ensure the quality and integrity of data in your projects?

    Address your approach to data validation and testing. Mention practices such as automation in monitoring, performance metrics tracking, and error handling strategies that you have implemented to maintain high data quality standards.

    Join Rise to see the full answer
    What tools and technologies do you prefer for ETL processes?

    Talk about your experience with specific ETL tools and frameworks, such as Apache Spark or AWS Glue, and explain why you prefer these based on their scalability, ease of use, or integrations with cloud platforms.

    Join Rise to see the full answer
    Describe a time when you had to collaborate with other teams. How did you manage communication?

    Provide an example demonstrating your effective communication and teamwork skills. Discuss methods you used to keep all stakeholders informed and how you addressed any conflicts or differences in priorities during a project.

    Join Rise to see the full answer
    How do you stay updated with the latest trends and technologies in Data Engineering?

    Share the resources you use to enhance your knowledge, such as blogs, online courses, webinars, or conferences. Express your enthusiasm for learning and how you apply new technologies to enhance your work as a Data Engineer.

    Join Rise to see the full answer
    What is your experience with cloud platforms like AWS in your Data Engineering role?

    Discuss specific projects where you have utilized AWS services for data storage, processing, and architecture. Highlight your familiarity with services like S3, Redshift, and Lambda, and how they contributed to your project's objectives.

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    Have you ever faced a performance issue in a data pipeline? How did you handle it?

    Detail a specific instance of a performance challenge you encountered and your strategic approach to diagnose and resolve it. Explain the steps you took, tools you used, and the outcome of your actions.

    Join Rise to see the full answer
    What methodologies do you incorporate to ensure efficient data processing?

    Elucidate on methodologies like batch vs streaming processing, DevOps practices for CI/CD, and any optimization techniques that help ensure your data processing is efficient and scalable.

    Join Rise to see the full answer
    Can you give an example of how you applied DevOps principles in your work?

    Provide an example showcasing your experience with version control, automation of deployment processes, or monitoring. Discuss how these practices improved productivity and led to faster deployments.

    Join Rise to see the full answer
    What do you feel is the most important aspect of being a Data Engineer?

    Convey your belief about the key responsibilities of a Data Engineer, such as ensuring data quality, optimizing performance, and collaborating effectively. Your answer should emphasize the impact of these aspects on the overall success of data projects.

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    Believe is one of the world's leading digital music companies. Believe's mission is to develop independent artists and labels in the digital world by providing them the solutions they need to grow their audience at each stage of their career and d...

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    DATE POSTED
    March 19, 2025

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