Data Engineer (H/F)

Résumé du poste
CDI
Paris
Salaire : 60K à 80K €
Télétravail fréquent
Compétences & expertises
Contenu généré
Aptitudes techniques
Kubernetes
Terraform
Pyspark
Docker
+3

Allphins
Allphins

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Le poste

Descriptif du poste

At Allphins, we’re redefining how the world’s leading (re)insurers understand risk, and we want you to be part of it.

As a Data Engineer, you’ll build the systems that allow risk analysts at top-tier (re)insurance companies to make billion-dollar decisions with confidence. You will be responsible for designing robust data architectures, ensuring data integrity and security, and developing innovative solutions for large-scale data analysis in a cloud-based environment.

This is a rare opportunity to build foundational infrastructure in a market hungry for innovation.

What you’ll do:

  • Design and maintain scalable data pipelines, enabling seamless ingestion, transformation, and delivery across the platform.

  • Enhance data quality by contributing to continuous optimization and rigorous testing, to ensure our data is clean, trustworthy, and fully leveraged for maximum impact.

  • Collaborate with cross-functional teams - product, back-end, data science, and analytics teams, to support new features, dashboards, and ML integrations.

  • Drive infrastructure improvements, proposing solutions that increase efficiency and future-proof our platform.

Tech requirements:

Must have:

  • Expert in Python, PySpark, SQL and Airflow

  • Strong experience working with cloud infrastructure: GCP or AWS

  • Deep knowledge of big data architectures

  • Proven experience managing large-scale data volumes through Iceberg or Delta Lake

Nice to have:

  • Great knowledge of containerization with Docker and Kubernetes

  • Familiarity with Terraform

  • Experience in API development

  • Experience with dashboarding tools

What we offer :

We’re building a company where people can do their best work and be rewarded for it. Here’s what you can expect:

🏢 A central location: modern offices in Paris’ 9th arrondissement (WeWork), with the flexibility of hybrid work (3 days on-site)

💼 Autonomy & responsibility: you’ll have real ownership from day one, with high visibility across the company and the freedom to shape your role.

🚀 Growth in sync with our scale: Allphins is growing fast, and so will your opportunities, whether you’re deepening your expertise or taking on new challenges.

💸 Competitive compensation: We offer a solid salary package, along with transportation pass reimbursement, meal vouchers, and other perks.

🧰 Tools that work for you: Top-tier equipment and a modern tech stack so you can focus on building.

🤝 A focused, collaborative team: Work alongside experienced professionals who value clarity, impact, and smart execution.


Profil recherché

We’re looking for a hands-on engineer who sees data pipelines as craft, not just code. You love solving complex problems, working with scale, and designing elegant systems that make hard things easy.

  • Academic background: You hold a Master’s degree from a top engineering school and combine advanced technical training with a pragmatic and effective approach to solving complex problems.

  • Data engineering experience: You have 5+ years of successful experience as a Data Engineer in a tech company, with a strong background in managing and optimizing data pipelines for production environments.

  • Industry knowledge: You have a good understanding of complex B2B platforms, with data at their core.

  • Interpersonal skills: You are analytical, detail-oriented, obsessed with performance, and eager to work in a highly collaborative environment.

  • Fluent in English and French.


Déroulement des entretiens

  • HR interview

  • Senior Data Engineer interview

  • Discussion with our CTO

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